Gemma 3 12b It QAT INT4

40
3
12.0B
1 language
license:apache-2.0
by
pytorch
Image Model
OTHER
12B params
New
40 downloads
Early-stage
Try on Hugging FaceAdd to Compare
Edge AI:
Mobile
Laptop
Server
27GB+ RAM
Mobile
Laptop
Server
Quick Summary

- Developed by: pytorch - License: apache-2.

Device Compatibility

Mobile
4-6GB RAM
Laptop
16GB RAM
Server
GPU
Minimum Recommended
12GB+ RAM

Training Data Analysis

🟡 Average (4.3/10)

Researched training datasets used by Gemma 3 12b It QAT INT4 with quality assessment

Specialized For

general
science
multilingual
reasoning

Training Datasets (3)

common crawl
🔴 2.5/10
general
science
Key Strengths
  • •Scale and Accessibility: At 9.5+ petabytes, Common Crawl provides unprecedented scale for training d...
  • •Diversity: The dataset captures billions of web pages across multiple domains and content types, ena...
  • •Comprehensive Coverage: Despite limitations, Common Crawl attempts to represent the broader web acro...
Considerations
  • •Biased Coverage: The crawling process prioritizes frequently linked domains, making content from dig...
  • •Large-Scale Problematic Content: Contains significant amounts of hate speech, pornography, violent c...
wikipedia
🟡 5/10
science
multilingual
Key Strengths
  • •High-Quality Content: Wikipedia articles are subject to community review, fact-checking, and citatio...
  • •Multilingual Coverage: Available in 300+ languages, enabling training of models that understand and ...
  • •Structured Knowledge: Articles follow consistent formatting with clear sections, allowing models to ...
Considerations
  • •Language Inequality: Low-resource language editions have significantly lower quality, fewer articles...
  • •Biased Coverage: Reflects biases in contributor demographics; topics related to Western culture and ...
arxiv
🟡 5.5/10
science
reasoning
Key Strengths
  • •Scientific Authority: Peer-reviewed content from established repository
  • •Domain-Specific: Specialized vocabulary and concepts
  • •Mathematical Content: Includes complex equations and notation
Considerations
  • •Specialized: Primarily technical and mathematical content
  • •English-Heavy: Predominantly English-language papers

Explore our comprehensive training dataset analysis

View All Datasets

Code Examples

Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
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Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
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Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Inference with vLLMtextvllm
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
pip install torchao
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Servingbashvllm
# Server
export MODEL=pytorch/gemma-3-12b-it-QAT-INT4
VLLM_DISABLE_COMPILE_CACHE=1 vllm serve $MODEL --tokenizer $MODEL -O3
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
Inference with Transformersbash
pip install git+https://github.com/huggingface/transformers@main
pip install torchao
pip install torch
pip install accelerate
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
language evalbash
export MODEL=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
lm_eval --model hf --model_args pretrained=$MODEL --tasks mmlu --device cuda:0 --batch_size 8
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
multi-modal evalbash
NUM_PROCESSES=8
MAIN_PORT=12345
MODEL_ID=google/gemma-3-12b-it # or pytorch/gemma-3-12b-it-QAT-INT4
TASKS=chartqa  # or tasks from https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/models/simple
BATCH_SIZE=32
OUTPUT_PATH=./logs/

accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \
  --model gemma3 \
  --model_args "pretrained=${MODEL_ID}" \
  --tasks "${TASKS}" \
  --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}"
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setupbashvllm
git clone [email protected]:vllm-project/vllm.git
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
Setuptextvllm
VLLM_USE_PRECOMPILED=1 pip install --editable .
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1
benchmark_latencybashvllm
vllm bench latency --input-len 256 --output-len 256 --model google/gemma-3-12b-it --batch-size 1

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