ipex-llm/python/llm/example/CPU/HF-Transformers-AutoModels
Guoqiong Song 5b6eb85b85
phi model readme (#11595)
Co-authored-by: rnwang04 <ruonan1.wang@intel.com>
2024-07-17 17:18:34 -07:00
..
Advanced-Quantizations FIX: Qwen1.5-GPTQ-Int4 inference error (#11432) 2024-06-26 15:36:22 +08:00
Model phi model readme (#11595) 2024-07-17 17:18:34 -07:00
More-Data-Types LLM: Modify CPU Installation Command for most examples (#11049) 2024-05-17 15:52:20 +08:00
Save-Load LLM: Modify CPU Installation Command for most examples (#11049) 2024-05-17 15:52:20 +08:00
README.md Update readme (#10665) 2024-04-05 18:01:57 +08:00

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 transformers models (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