update readme news for HY3.0

README.md

@@ -22,6 +22,7 @@ A more accessible, comprehensive, and efficient toolkit for large model compress
 </p>
 
 ## 📣Latest News
+- [26/07/06] We now support FP8-Static quantization , SmoothQuant for **Hy3** (MoE A20B).[[Docs]](https://github.com/Tencent/AngelSlim/tree/main/scripts/ptq)
 - [26/06/04] We have released **Stem**, a sparse attention algorithm that accelerates the **Prefill** stage of long-context LLMs by dynamically selecting top-k key blocks for block-sparse attention, significantly reducing latency while preserving generation quality. [[Docs]](https://angelslim.readthedocs.io/zh-cn/latest/features/sparse_attention/stem.html)
 - [26/06/01] We have released **DFlare**, a block-diffusion speculative decoding framework with layer-wise fusion that achieves up to **5.52× end-to-end speedup**. [[Docs]](https://angelslim.readthedocs.io/zh-cn/latest/features/speculative_decoding/dflare.html)
 - [26/05/27] We have released **D-Cut**, an adaptive verification depth pruning technique for speculative decoding. [[Docs]](https://angelslim.readthedocs.io/zh-cn/latest/dcut.html)

README_cn.md

@@ -22,6 +22,7 @@
 </p>
 
 ## 📣最新进展
+- [26/07/06] 我们支持了 **Hy3**（MoE A20B）模型的 FP8-Static 量化，SmoothQuant 量化. [[文档]](https://github.com/Tencent/AngelSlim/tree/main/scripts/ptq)
 - [26/06/04] 我们发布了 **Stem**，一种稀疏注意力算法，通过在 block 粒度动态选择 top-k 关键块执行 block-sparse attention，加速长上下文 LLM 的 **Prefill** 阶段，在大幅降低延迟的同时实现几乎无损的生成质量。[[文档]](https://angelslim.readthedocs.io/zh-cn/latest/features/sparse_attention/stem.html)
 - [26/06/01] 我们发布了 **DFlare**，一种基于 layer-wise fusion 的块扩散投机解码框架，端到端加速比可达 **5.52×**。[[文档]](https://angelslim.readthedocs.io/zh-cn/latest/features/speculative_decoding/dflare.html)
 - [26/05/27] 我们发布了 **D-Cut**，一种用于投机解码的自适应验证深度裁剪技术。[[文档]](https://angelslim.readthedocs.io/zh-cn/latest/dcut.html)