ipex-llm/python/llm/example/GPU/HuggingFace
Guoqiong Song 5a6211fd56
fix minicpm for transformers>=4.39 (#11533)
* fix minicpm for transformers>=4.39
2024-07-18 15:01:57 -07:00
..
Advanced-Quantizations Update GPU HF-Transformers example structure (#11526) 2024-07-08 17:58:06 +08:00
LLM fix minicpm for transformers>=4.39 (#11533) 2024-07-18 15:01:57 -07:00
More-Data-Types Update README.md (#11530) 2024-07-08 20:18:41 +08:00
Multimodal phi-3 on "transformers>=4.37.0,<=4.42.3" (#11534) 2024-07-17 17:19:57 -07:00
Save-Load Update GPU HF-Transformers example structure (#11526) 2024-07-08 17:58:06 +08:00
README.md Update GPU HF-Transformers example structure (#11526) 2024-07-08 17:58:06 +08:00

Running HuggingFace models using IPEX-LLM on Intel GPU

This folder contains examples of running any HuggingFace model on IPEX-LLM:

  • LLM: examples of running large language models (LLaMA, Mistral, ChatGLM, Qwen, Baichuan, Mixtral, Gemma, etc.) using IPEX-LLM optimizations
  • Multimodal: examples of running large multimodal models (StableDiffusion models, Qwen-VL-Chat, glm-4v, etc.) using IPEX-LLM 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