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* install python 3.11 for cpu-inference docker image * update xpu-inference dockerfile * update cpu-serving image * update qlora image * update lora image * update document |
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| Model | ||
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| README.md | ||
Running HuggingFace transformers model using IPEX-LLM on Intel GPU
This folder contains examples of running any HuggingFace transformers model on IPEX-LLM (using the standard AutoModel APIs):
- Model: examples of running HuggingFace transformers models (LLaMA, Mistral, ChatGLM, Qwen, Baichuan, Mixtral, Gemma, etc.) using INT4 optimizations
- More-Data-Types: examples of applying other low bit optimizations (FP8/INT8/FP4, etc.)
- Save-Load: examples of saving and loading low-bit models
- Advanced-Quantizations: examples of loading GGUF/AWQ/GPTQ models