From 03c90242091343303c06b579ff37a1763cd52c71 Mon Sep 17 00:00:00 2001 From: Jason Dai Date: Fri, 14 Mar 2025 19:04:10 +0800 Subject: [PATCH] Update README (#12973) --- README.md | 1 + README.zh-CN.md | 1 + 2 files changed, 2 insertions(+) diff --git a/README.md b/README.md index 1ff24fcd..2acc0501 100644 --- a/README.md +++ b/README.md @@ -9,6 +9,7 @@ > - ***70+ models** have been optimized/verified on `ipex-llm` (e.g., Llama, Phi, Mistral, Mixtral, DeepSeek, 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 🔥 +- [2025/03] We added support for **Gemma3** model in the latest [llama.cpp Portable Zip](https://github.com/intel/ipex-llm/issues/12963#issuecomment-2724032898). - [2025/03] We can now run **DeepSeek-R1-671B-Q4_K_M** with 1 or 2 Arc A770 on Xeon using the latest [llama.cpp Portable Zip](docs/mddocs/Quickstart/llamacpp_portable_zip_gpu_quickstart.md#flashmoe-for-deepseek-v3r1). - [2025/02] We added support of [llama.cpp Portable Zip](https://github.com/intel/ipex-llm/releases/tag/v2.2.0-nightly) for Intel **GPU** (both [Windows](docs/mddocs/Quickstart/llamacpp_portable_zip_gpu_quickstart.md#windows-quickstart) and [Linux](docs/mddocs/Quickstart/llamacpp_portable_zip_gpu_quickstart.md#linux-quickstart)) and **NPU** ([Windows](docs/mddocs/Quickstart/llama_cpp_npu_portable_zip_quickstart.md) only). - [2025/02] We added support of [Ollama Portable Zip](https://github.com/intel/ipex-llm/releases/tag/v2.2.0-nightly) to directly run Ollama on Intel **GPU** for both [Windows](docs/mddocs/Quickstart/ollama_portable_zip_quickstart.md#windows-quickstart) and [Linux](docs/mddocs/Quickstart/ollama_portable_zip_quickstart.md#linux-quickstart) (***without the need of manual installations***). diff --git a/README.zh-CN.md b/README.zh-CN.md index e7c26a55..98da863a 100644 --- a/README.zh-CN.md +++ b/README.zh-CN.md @@ -9,6 +9,7 @@ > - ***70+** 模型已经在 `ipex-llm` 上得到优化和验证（如 Llama, Phi, Mistral, Mixtral, DeepSeek, 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 🔥 +- [2025/03] 通过最新 [llama.cpp Portable Zip](https://github.com/intel/ipex-llm/issues/12963#issuecomment-2724032898) 可运行 **Gemma3** 模型。 - [2025/03] 使用最新 [llama.cpp Portable Zip](docs/mddocs/Quickstart/llamacpp_portable_zip_gpu_quickstart.zh-CN.md#flashmoe-运行-deepseek-v3r1), 可以在 Xeon 上通过1到2张 Arc A770 GPU 运行 **DeepSeek-R1-671B-Q4_K_M**。 - [2025/02] 新增 [llama.cpp Portable Zip](https://github.com/intel/ipex-llm/releases/tag/v2.2.0-nightly) 在 Intel **GPU** (包括 [Windows](docs/mddocs/Quickstart/llamacpp_portable_zip_gpu_quickstart.zh-CN.md#windows-用户指南) 和 [Linux](docs/mddocs/Quickstart/llamacpp_portable_zip_gpu_quickstart.zh-CN.md#linux-用户指南)) 和 **NPU** (仅 [Windows](docs/mddocs/Quickstart/llama_cpp_npu_portable_zip_quickstart.zh-CN.md)) 上直接**免安装运行 llama.cpp**。 - [2025/02] 新增 [Ollama Portable Zip](https://github.com/intel/ipex-llm/releases/tag/v2.2.0-nightly) 在 Intel **GPU** 上直接**免安装运行 Ollama** (包括 [Windows](docs/mddocs/Quickstart/ollama_portable_zip_quickstart.zh-CN.md#windows用户指南) 和 [Linux](docs/mddocs/Quickstart/ollama_portable_zip_quickstart.zh-CN.md#linux用户指南))。