ipex-llm/python/llm/example/GPU/HF-Transformers-AutoModels
Jin Qiao 1f876fd837
Add example for phi-3 (#10881)
* Add example for phi-3

* add in readme and index

* fix

* fix

* fix

* fix indent

* fix
2024-04-29 16:43:55 +08:00
..
Advanced-Quantizations Support the desc_act feature in GPTQ model (#10851) 2024-04-24 10:17:13 -07:00
Model Add example for phi-3 (#10881) 2024-04-29 16:43:55 +08:00
More-Data-Types Upgrade to python 3.11 (#10711) 2024-04-09 17:41:17 +08:00
Save-Load Upgrade to python 3.11 (#10711) 2024-04-09 17:41:17 +08:00
README.md Update readme (#10665) 2024-04-05 18:01:57 +08:00

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