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**`IPEX-LLM`** is an LLM acceleration library for Intel [GPU](docs/mddocs/Quickstart/install_windows_gpu.md) *(e.g., local PC with iGPU, discrete GPU such as Arc, Flex and Max)*, [NPU](docs/mddocs/Quickstart/npu_quickstart.md) and CPU [^1].
> [!NOTE]
> - *`IPEX-LLM` provides seamless integration with [llama.cpp](docs/mddocs/Quickstart/llama_cpp_quickstart.md), [Ollama](docs/mddocs/Quickstart/ollama_quickstart.md), [HuggingFace transformers](python/llm/example/GPU/HuggingFace), [LangChain](python/llm/example/GPU/LangChain), [LlamaIndex](python/llm/example/GPU/LlamaIndex), [vLLM](docs/mddocs/Quickstart/vLLM_quickstart.md), [Text-Generation-WebUI](docs/mddocs/Quickstart/webui_quickstart.md), [DeepSpeed-AutoTP](python/llm/example/GPU/Deepspeed-AutoTP), [FastChat](docs/mddocs/Quickstart/fastchat_quickstart.md), [Axolotl](docs/mddocs/Quickstart/axolotl_quickstart.md), [HuggingFace PEFT](python/llm/example/GPU/LLM-Finetuning), [HuggingFace TRL](python/llm/example/GPU/LLM-Finetuning/DPO), [AutoGen](python/llm/example/CPU/Applications/autogen), [ModeScope](python/llm/example/GPU/ModelScope-Models), etc.*
> - ***70+ models** have been optimized/verified on `ipex-llm` (e.g., Llama, Phi, Mistral, Mixtral, Whisper, Qwen, MiniCPM, Qwen-VL, MiniCPM-V and more), with state-of-art **LLM optimizations**, **XPU acceleration** and **low-bit (FP8/FP6/FP4/INT4) support**; see the complete list [here](#verified-models).*
> - ***70+ models** have been optimized/verified on `ipex-llm` (e.g., Llama, Phi, Mistral, Mixtral, Whisper, Qwen, ChatGLM, MiniCPM, Qwen-VL, MiniCPM-V and more), with state-of-art **LLM optimizations**, **XPU acceleration** and **low-bit (FP8/FP6/FP4/INT4) support**; see the complete list [here](#verified-models).*
## Latest Update 🔥
- [2025/01] We added the guide for running `ipex-llm` on Intel Arc [B580](docs/mddocs/Quickstart/bmg_quickstart.md) GPU
- [2024/12] We added support for running [Ollama 0.4.6](docs/mddocs/Quickstart/ollama_quickstart.md) on Intel GPU.
- [2024/12] We added both ***Python*** and ***C++*** support for Intel Core Ultra [NPU](docs/mddocs/Quickstart/npu_quickstart.md) (including 100H, 200V and 200K series).
- [2025/01] We added support for running [Ollama 0.5.1](docs/mddocs/Quickstart/ollama_quickstart.md) on Intel GPU.
- [2024/12] We added both ***Python*** and ***C++*** support for Intel Core Ultra [NPU](docs/mddocs/Quickstart/npu_quickstart.md) (including 100H, 200V, 200K and 200H series).
- [2024/11] We added support for running [vLLM 0.6.2](docs/mddocs/DockerGuides/vllm_docker_quickstart.md) on Intel Arc GPUs.
<details><summary>More updates</summary>

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**`ipex-llm`** 是一个将大语言模型高效地运行于 Intel [GPU](docs/mddocs/Quickstart/install_windows_gpu.md) *(如搭载集成显卡的个人电脑，Arc 独立显卡、Flex 及 Max 数据中心 GPU 等)*、[NPU](docs/mddocs/Quickstart/npu_quickstart.md) 和 CPU 上的大模型 XPU 加速库[^1]。
> [!NOTE]
> - *`ipex-llm`可以与 [llama.cpp](docs/mddocs/Quickstart/llama_cpp_quickstart.zh-CN.md), [Ollama](docs/mddocs/Quickstart/ollama_quickstart.zh-CN.md), [HuggingFace transformers](python/llm/example/GPU/HuggingFace), [LangChain](python/llm/example/GPU/LangChain), [LlamaIndex](python/llm/example/GPU/LlamaIndex), [vLLM](docs/mddocs/Quickstart/vLLM_quickstart.md), [Text-Generation-WebUI](docs/mddocs/Quickstart/webui_quickstart.md), [DeepSpeed-AutoTP](python/llm/example/GPU/Deepspeed-AutoTP), [FastChat](docs/mddocs/Quickstart/fastchat_quickstart.md), [Axolotl](docs/mddocs/Quickstart/axolotl_quickstart.md), [HuggingFace PEFT](python/llm/example/GPU/LLM-Finetuning), [HuggingFace TRL](python/llm/example/GPU/LLM-Finetuning/DPO), [AutoGen](python/llm/example/CPU/Applications/autogen), [ModeScope](python/llm/example/GPU/ModelScope-Models) 等无缝衔接。*
> - ***70+** 模型已经在 `ipex-llm` 上得到优化和验证（如 Llama, Phi, Mistral, Mixtral, Whisper, Qwen, MiniCPM, Qwen-VL, MiniCPM-V 等), 以获得先进的 **大模型算法优化**, **XPU 加速** 以及 **低比特（FP8FP8/FP6/FP4/INT4) 支持**；更多模型信息请参阅[这里](#模型验证)。*
> - ***70+** 模型已经在 `ipex-llm` 上得到优化和验证（如 Llama, Phi, Mistral, Mixtral, Whisper, Qwen, ChatGLM, MiniCPM, Qwen-VL, MiniCPM-V 等), 以获得先进的 **大模型算法优化**, **XPU 加速** 以及 **低比特（FP8FP8/FP6/FP4/INT4) 支持**；更多模型信息请参阅[这里](#模型验证)。*
## 最新更新 🔥
- [2025/01] 新增在 Intel Arc [B580](docs/mddocs/Quickstart/bmg_quickstart.md) GPU 上运行 `ipex-llm` 的指南。
- [2024/12] 新增在 Intel GPU 上运行 [Ollama 0.4.6](docs/mddocs/Quickstart/ollama_quickstart.zh-CN.md) 的支持。
- [2024/12] 增加了对 Intel Core Ultra [NPU](docs/mddocs/Quickstart/npu_quickstart.md)（包括 100H，200V 和 200K 系列）的 **Python** 和 **C++** 支持。
- [2025/01] 新增在 Intel GPU 上运行 [Ollama 0.5.1](docs/mddocs/Quickstart/ollama_quickstart.zh-CN.md) 的支持。
- [2024/12] 增加了对 Intel Core Ultra [NPU](docs/mddocs/Quickstart/npu_quickstart.md)（包括 100H，200V，200K 和 200H 系列）的 **Python** 和 **C++** 支持。
- [2024/11] 新增在 Intel Arc GPUs 上运行 [vLLM 0.6.2](docs/mddocs/DockerGuides/vllm_docker_quickstart.md) 的支持。
<details><summary>更多更新</summary>