diff --git a/README.md b/README.md index 654785d4..5132cf21 100644 --- a/README.md +++ b/README.md @@ -12,11 +12,17 @@ A more accessible, comprehensive, and efficient toolkit for large model compress

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## 📣Latest News +- [26/02/09] We have released HY-1.8B-2Bit, 2bit on-device large language model,[[Huggingface]](https://huggingface.co/AngelSlim/HY-1.8B-2Bit). - [26/01/13] We have released v0.3. We support the training and deployment of Eagle3 for all-scale LLMs/VLMs/Audio models, as detailed in the [guidance documentation](https://angelslim.readthedocs.io/zh-cn/latest/features/speculative_decoding/eagle/index.html). And We released **Sherry**, the hardware-efficient 1.25 bit quantization algorithm [[Paper]](https://arxiv.org/abs/2601.07892) | [[Code]](https://github.com/Tencent/AngelSlim/tree/sherry/Sherry)🔥🔥🔥 - [25/11/05] We have released v0.2. Quantization support for new models, such as `GLM-4.6`, `Qwen3-VL` and `Qwen3-Omni`, open-sources the Eagle3 speculative decoding training framework, and updates the Diffusion model quantization tools. - [25/09/30] We have released **SpecExit**, the reasoning early-exit algorithm: [[Paper]](http://arxiv.org/abs/2509.24248) | [[Docs]](https://angelslim.readthedocs.io/zh-cn/latest/features/speculative_decoding/spec_exit.html) | [[vLLM Code]](https://github.com/vllm-project/vllm/pull/27192) diff --git a/README_cn.md b/README_cn.md index 5b2cbf0f..af88721b 100644 --- a/README_cn.md +++ b/README_cn.md @@ -12,11 +12,17 @@

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## 📣最新进展 +- [26/02/09] 我们发布了 HY-1.8B-2Bit, 2比特端侧大模型, 模型可见[[Huggingface]](https://huggingface.co/AngelSlim/HY-1.8B-2Bit). - [26/01/13]我们发布V0.3版本, 支持了全模态场景的投机采样训练及部署,文档:[Eagle3 for LLM/VLM/Audio](https://angelslim.readthedocs.io/zh-cn/latest/features/speculative_decoding/eagle/index.html)。并且我们发布了 **Sherry** 新的硬件高效的1.25bit三值量化算法 [[论文]](https://arxiv.org/abs/2601.07892) | [[代码]](https://github.com/Tencent/AngelSlim/tree/sherry/Sherry)🔥🔥🔥 - [25/11/05] 我们发布V0.2版本,支持了包括GLM-4.6/Qwen3-VL/Qwen3-Omni等更多模型的量化,开源投机采样Eagle3训练框架,更新Diffusion模型量化工具。 - [25/09/30] 我们开源了思考早退新算法 **SpecExit** [[论文]](http://arxiv.org/abs/2509.24248) | [[文档]](https://angelslim.readthedocs.io/zh-cn/latest/features/speculative_decoding/spec_exit.html) | [[vLLM代码]](https://github.com/vllm-project/vllm/pull/27192)