ab9f7f3ac5
* merge_qkv if quant_method is 'gptq' * fix python style checks * refactor * update GPU example |
||
|---|---|---|
| .. | ||
| Advanced-Quantizations | ||
| Model | ||
| More-Data-Types | ||
| Save-Load | ||
| README.md | ||
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: examples of running HuggingFace
transformersmodels (e.g., LLaMA, Mistral, ChatGLM, Qwen, Baichuan, Mixtral, Gemma, etc.) using INT4 optimizations - More-Data-Types: examples of applying other low bit optimizations (INT8/INT5, etc.) on Intel CPU
- Save-Load: examples of saving and loading low-bit models
- Advanced-Quantizations: examples of loading GGUF/AWQ/GPTQ models