GLM-4.5-Air-GPTQMODEL-W4A16

45
license:mit
by
avtc
Language Model
OTHER
New
45 downloads
Early-stage
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Quick Summary

AI model with specialized capabilities.

Training Data Analysis

🔵 Good (6.0/10)

Researched training datasets used by GLM-4.5-Air-GPTQMODEL-W4A16 with quality assessment

Specialized For

general
multilingual

Training Datasets (1)

c4
🔵 6/10
general
multilingual
Key Strengths
  • •Scale and Accessibility: 750GB of publicly available, filtered text
  • •Systematic Filtering: Documented heuristics enable reproducibility
  • •Language Diversity: Despite English-only, captures diverse writing styles
Considerations
  • •English-Only: Limits multilingual applications
  • •Filtering Limitations: Offensive content and low-quality text remain despite filtering

Explore our comprehensive training dataset analysis

View All Datasets

Code Examples

How to Run (vLLM)bashvllm
export VLLM_ATTENTION_BACKEND="FLASHINFER"
export TORCH_CUDA_ARCH_LIST="8.6"
export CUDA_VISIBLE_DEVICES=0,1,2,3
export VLLM_MARLIN_USE_ATOMIC_ADD=1
export SAFETENSORS_FAST_GPU=1

vllm serve avtc/GLM-4.5-Air-GPTQMODEL-W4A16 \
    -tp 4 \
    --port 8000 \
    --host 0.0.0.0 \
    --uvicorn-log-level info \
    --trust-remote-code \
    --gpu-memory-utilization 0.925 \
    --max-num-seqs 1 \
    --trust-remote-code \
    --dtype=float16 \
    --seed 1234 \
    --max-model-len 115000 \
    --tool-call-parser glm45 \
    --reasoning-parser glm45 \
    --enable-auto-tool-choice \
    --enable-sleep-mode \
    --enable-expert-parallel \
    --compilation-config '{"level": 3, "cudagraph_capture_sizes": [1]}'

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