ipex-llm/python/llm/example/CPU/HF-Transformers-AutoModels/README.md
2024-04-05 18:01:57 +08:00

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# Running Hugging Face Transformers model using IPEX-LLM on Intel CPU
This folder contains examples of running any HuggingFace `transformers` model on IPEX-LLM (using the standard AutoModel APIs):
- [Model](Model): examples of running HuggingFace `transformers` models (e.g., LLaMA, Mistral, ChatGLM, Qwen, Baichuan, Mixtral, Gemma, etc.) using INT4 optimizations
- [More-Data-Types](More-Data-Types): examples of applying other low bit optimizations (INT8/INT5, etc.) on Intel CPU
- [Save-Load](Save-Load): examples of saving and loading low-bit models
- [Advanced-Quantizations](Advanced-Quantizations): examples of loading GGUF/AWQ/GPTQ models