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examples/pytorch/multimodal-modeling/quantization/auto_round/llama4/README.md

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## 1. Environment
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```shell
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docker run -d --gpus all -v ... --shm-size=100g --name llama4 -it nvcr.io/nvidia/pytorch:25.05-py3 /bin/bash
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docker run -d --gpus all -v ... --shm-size=100g --name llama4 -it nvcr.io/nvidia/pytorch:25.08-py3 /bin/bash
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docker exec -it llama4 bash
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git clone https://github.com/intel/neural-compressor.git
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cd neural-compressor/examples/pytorch/multimodal-modeling/quantization/auto_round/llama4
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# Use `INC_PT_ONLY=1 pip install git+https://github.com/intel/neural-compressor.git@v3.6rc` for the latest updates before neural-compressor v3.6 release
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pip install neural-compressor-pt==3.6
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# Use `pip install git+https://github.com/intel/auto-round.git@v0.8.0rc2` for the latest updates before auto-round v0.8.0 release
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pip install auto-round==0.8.0
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# Use `INC_PT_ONLY=1 pip install git+https://github.com/intel/neural-compressor.git@v3.6rc` for the latest updates before neural-compressor v3.7 release
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pip install neural-compressor-pt==3.7
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# Use `pip install git+https://github.com/intel/auto-round.git@v0.8.0rc2` for the latest updates before auto-round v0.9.3 release
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pip install auto-round==0.9.3
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bash setup.sh
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```
2020

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