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IPEX-LLM Examples on Intel GPU

This folder contains examples of running IPEX-LLM on Intel GPU:

  • Applications: running LLM applications (such as autogen) on IPEX-LLM
  • HuggingFace: running HuggingFace models on IPEX-LLM (using the standard AutoModel APIs), including language models and multimodal models.
  • LLM-Finetuning: running finetuning (such as LoRA, QLoRA, QA-LoRA, etc) using IPEX-LLM on Intel GPUs
  • vLLM-Serving: running vLLM serving framework on intel GPUs (with IPEX-LLM low-bit optimized models)
  • Deepspeed-AutoTP: running distributed inference using DeepSpeed AutoTP (with IPEX-LLM low-bit optimized models) on Intel GPUs
  • Deepspeed-AutoTP-FastAPI: running distributed inference using DeepSpeed AutoTP and start serving with FastAPI(with IPEX-LLM low-bit optimized models) on Intel GPUs
  • Pipeline-Parallel-Inference: running IPEX-LLM optimized low-bit model vertically partitioned on multiple Intel GPUs
  • Pipeline-Parallel-Serving: running IPEX-LLM serving with FastAPI on multiple Intel GPUs in pipeline parallel fasion
  • Lightweight-Serving: running IPEX-LLM serving with FastAPI on one Intel GPU In a lightweight way
  • LangChain: running LangChain applications on IPEX-LLM
  • PyTorch-Models: running any PyTorch model on IPEX-LLM (with "one-line code change")
  • Speculative-Decoding: running any Hugging Face Transformers model with self-speculative decoding on Intel GPUs
  • ModelScope-Models: running ModelScope model with IPEX-LLM on Intel GPUs
  • Long-Context: running long-context generation with IPEX-LLM on Intel Arc™ A770 Graphics.

System Support

1. Linux:

Hardware:

  • Intel Arc™ A-Series Graphics
  • Intel Data Center GPU Flex Series
  • Intel Data Center GPU Max Series

Operating System:

  • Ubuntu 20.04 or later (Ubuntu 22.04 is preferred)

2. Windows

Hardware:

  • Intel iGPU and dGPU

Operating System:

  • Windows 10/11, with or without WSL

Requirements

To apply Intel GPU acceleration, there’re several steps for tools installation and environment preparation. See the GPU installation guide for mode details.