update readme

README.md

@@ -27,14 +27,14 @@ A more accessible, comprehensive, and efficient toolkit for large model compress
 - [26/03/25] We have released **DAQ**, the quantization algorithm that preserves the knowledge acquired while the update of parameters is relatively small during post-training training.[[Paper]](https://arxiv.org/abs/2603.22324) | [[Docs]](docs/source/features/quantization/daq.md)
 - [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)
-- [25/09/26] We have released **TEQUILA**, the ternary quantization algorithm [[Paper]](https://arxiv.org/abs/2509.23809) | [[Code]](https://github.com/Tencent/AngelSlim/tree/tequila/TernaryQuant)
-- [25/09/24] We now support the PTQ quantization of NVFP4 for the Qwen3 series models. We also opensource [Qwen3-32B-NVFP4](https://huggingface.co/AngelSlim/Qwen3-32B_nvfp4) and [Qwen3-235B-A22B-NVFP4](https://huggingface.co/AngelSlim/Qwen3-235B-A22B_nvfp4) weights.
 
 <details>
 <summary>Previous News</summary>
 
+- [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)
+- [25/09/26] We have released **TEQUILA**, the ternary quantization algorithm [[Paper]](https://arxiv.org/abs/2509.23809) | [[Code]](https://github.com/Tencent/AngelSlim/tree/tequila/TernaryQuant)
+- [25/09/24] We now support the PTQ quantization of NVFP4 for the Qwen3 series models. We also opensource [Qwen3-32B-NVFP4](https://huggingface.co/AngelSlim/Qwen3-32B_nvfp4) and [Qwen3-235B-A22B-NVFP4](https://huggingface.co/AngelSlim/Qwen3-235B-A22B_nvfp4) weights.
 - [25/09/01] We now support ​FP8 quantization​ of the [Hunyuan-MT-7B](https://huggingface.co/tencent/Hunyuan-MT-7B-fp8) translation model. And enabled ​Torch inference and Benchmark evaluation​ for Eagle3. And implemented support for ​quantization and Cache​ for [FLUX](https://github.com/Tencent/AngelSlim/tree/main/configs/flux). And support ​quantization​ for the [Seed-OSS](https://github.com/Tencent/AngelSlim/tree/main/configs/seed_oss).
 - [25/08/06] We now support quantization for `Hunyuan 0.5B/1.8B/4B/7B` and multimodal model `Qwen2.5VL 3B/7B/32B/72B`, including `FP8/INT4` algorithms, and quantization for `DeepSeek-R1/V3` and `Kimi-K2`, including `FP8-Static` and `W4A8-FP8` algorithms. We also opensource `Hunyuan 1.8B/4B/7B` series Eagle3 model weight.
 - [25/07/04] We now support quantization for `Hunyuan/Qwen2.5/Qwen3/DeepSeek-R1-Distill-Qwen` and other models, including `INT8/FP8/INT4` algorithms. We also opensource `Qwen3` series Eagle3 model weight.
@@ -129,7 +129,7 @@ A more accessible, comprehensive, and efficient toolkit for large model compress
           <li>
             <strong>Token Pruning</strong>
             <ul style="padding-left: 1.5rem">
-              <li>Under Development</li>
+              <li><a href="https://angelslim.readthedocs.io/zh-cn/latest/features/token_compressor/index.html">IDPruner</a></li>
             </ul>
           </li>
         </ul>
@@ -165,12 +165,6 @@ A more accessible, comprehensive, and efficient toolkit for large model compress
               <li><a href="https://angelslim.readthedocs.io/zh-cn/latest/features/diffusion/cache.html">TaylorCache</a></li>
             </ul>
           </li>
-          <li>
-            <strong>Sparse Attention</strong>
-            <ul style="padding-left: 1.5rem">
-              <li>Under Development</li>
-            </ul>
-          </li>
         </ul>
       </td>
     </tr>

README_cn.md

@@ -27,14 +27,14 @@
 - [26/03/25] 我们发布了量化算法DAQ，该方法在后训练参数更新较小时，可保留量化后模型能力 [[论文]](https://arxiv.org/abs/2603.22324) | [[文档]](docs/source/features/quantization/daq.md)
 - [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)
-- [25/09/30] 我们发布了三值量化新算法 **Tequila** [[论文]](https://arxiv.org/abs/2509.23809) | [[代码]](https://github.com/Tencent/AngelSlim/tree/tequila/TernaryQuant)
-- [25/09/24] 我们支持了Qwen3系列模型的NVFP4的PTQ量化，我们还开源了[Qwen3-32B-NVFP4](https://huggingface.co/AngelSlim/Qwen3-32B_nvfp4)、[Qwen3-235B-A22B-NVFP4](https://huggingface.co/AngelSlim/Qwen3-235B-A22B_nvfp4)权重。
 
 <details>
 <summary>历史更新</summary>
 
+- [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)
+- [25/09/30] 我们发布了三值量化新算法 **Tequila** [[论文]](https://arxiv.org/abs/2509.23809) | [[代码]](https://github.com/Tencent/AngelSlim/tree/tequila/TernaryQuant)
+- [25/09/24] 我们支持了Qwen3系列模型的NVFP4的PTQ量化，我们还开源了[Qwen3-32B-NVFP4](https://huggingface.co/AngelSlim/Qwen3-32B_nvfp4)、[Qwen3-235B-A22B-NVFP4](https://huggingface.co/AngelSlim/Qwen3-235B-A22B_nvfp4)权重。
 - [25/09/01] 我们支持了[Hunyuan-MT-7B](https://huggingface.co/tencent/Hunyuan-MT-7B-fp8)翻译开源模型的FP8量化；支持了Eagle3的Torch推理及Benchmark评测流程。
 - [25/08/06] 我们支持了`Hunyuan 0.5B/1.8B/4B/7B`和`Qwen2.5VL 3B/7B/32B/72B`的FP8、INT4量化，支持了`DeepSeek-R1/V3`和`Kimi-K2`模型的`W4A8-FP8`量化。我们还开源了`Hunyuan 1.8B/4B/7B`系列模型的Eagle3权重。
 - [25/07/04] 我们支持了`Hunyuan/Qwen2.5/Qwen3/DeepSeek-R1-Distill-Qwen`等模型的量化，包含INT8、FP8、INT4等算法。
@@ -130,7 +130,7 @@
           <li>
             <strong>Token剪枝</strong>
             <ul style="padding-left: 1.5rem">
-              <li>建设中</li>
+              <li><a href="https://angelslim.readthedocs.io/zh-cn/latest/features/token_compressor/index.html">IDPruner</a></li>
             </ul>
           </li>
         </ul>
@@ -166,12 +166,6 @@
               <li><a href="https://angelslim.readthedocs.io/zh-cn/latest/features/diffusion/cache.html">TaylorCache</a></li>
             </ul>
           </li>
-          <li>
-            <strong>稀疏注意力</strong>
-            <ul style="padding-left: 1.5rem">
-              <li>建设中</li>
-            </ul>
-          </li>
         </ul>
       </td>
     </tr>

docs/source/features/token_compressor/index.md

@@ -11,5 +11,7 @@ Token 压缩（Token Compressor）是 AngelSlim 针对多模态大模型（MLLM
 :maxdepth: 1
 
 idpruner
+installation
 other_methods
+add_pruning_strategy
 :::

docs/source/index.md

@@ -96,7 +96,7 @@ AngelSlim是腾讯自研的，致力于打造更易用、更全面和更高效
          - TeaCache
        - **稀疏注意力**
 
-         - 建设中
+         - Stem
    * - **语音(TTS/ASR)**
      - - Qwen3-Omni
        - Qwen2-Audio
@@ -106,7 +106,7 @@ AngelSlim是腾讯自研的，致力于打造更易用、更全面和更高效
      - - Eagle3
      - - **Token剪枝**
 
-         - 建设中
+         - IDPruner
 
 ```
 
@@ -131,6 +131,7 @@ getting_started/quickstrat
 features/quantization/index
 features/speculative_decoding/index
 features/sparse_attention/index
+features/token_compressor/index
 features/diffusion/index
 :::