GLM-4.5-Air-GPTQ-4bit

491
3
4.0B
2 languages
license:mit
by
cpatonn
Language Model
OTHER
4B params
New
491 downloads
Early-stage
Try on Hugging FaceAdd to Compare
Edge AI:
Mobile
Laptop
Server
9GB+ RAM
Mobile
Laptop
Server
Quick Summary

Method Quantised using vllm-project/llm-compressor, nvidia/Llama-Nemotron-Post-Training-Dataset and the following configs: Note: the last layer, i.

Device Compatibility

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

Code Examples

Inferencetextvllm
pip install -U vllm \
    --pre \
    --extra-index-url https://wheels.vllm.ai/nightly
Inferencetextvllm
pip install -U vllm \
    --pre \
    --extra-index-url https://wheels.vllm.ai/nightly
Inferencetextvllm
pip install -U vllm \
    --pre \
    --extra-index-url https://wheels.vllm.ai/nightly
Inferencetextvllm
pip install -U vllm \
    --pre \
    --extra-index-url https://wheels.vllm.ai/nightly
Inferencetextvllm
pip install -U vllm \
    --pre \
    --extra-index-url https://wheels.vllm.ai/nightly
Inferencetextvllm
pip install -U vllm \
    --pre \
    --extra-index-url https://wheels.vllm.ai/nightly
Inferencetextvllm
pip install -U vllm \
    --pre \
    --extra-index-url https://wheels.vllm.ai/nightly
Inferencetextvllm
pip install -U vllm \
    --pre \
    --extra-index-url https://wheels.vllm.ai/nightly
Inferencetextvllm
pip install -U vllm \
    --pre \
    --extra-index-url https://wheels.vllm.ai/nightly
Inferencetextvllm
pip install -U vllm \
    --pre \
    --extra-index-url https://wheels.vllm.ai/nightly
Inferencetextvllm
pip install -U vllm \
    --pre \
    --extra-index-url https://wheels.vllm.ai/nightly

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