[Doc] Update readme (#5226)
Add 0.11.0 news in Readme and correct main branch maintain rule
- vLLM version: release/v0.13.0
- vLLM main:
ad32e3e19c
Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com>
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@@ -19,6 +19,7 @@ vLLM Ascend Plugin
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*Latest News* 🔥
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- [2025/12] We released the new official version [v0.11.0](https://github.com/vllm-project/vllm-ascend/releases/tag/v0.11.0)! Please follow the [official guide](https://docs.vllm.ai/projects/ascend/en/v0.11.0-dev/) to start using vLLM Ascend Plugin on Ascend.
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- [2025/09] We released the new official version [v0.9.1](https://github.com/vllm-project/vllm-ascend/releases/tag/v0.9.1)! Please follow the [official guide](https://vllm-ascend.readthedocs.io/en/v0.9.1-dev/tutorials/large_scale_ep.html) to start deploy large scale Expert Parallelism (EP) on Ascend.
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- [2025/08] We hosted the [vLLM Beijing Meetup](https://mp.weixin.qq.com/s/7n8OYNrCC_I9SJaybHA_-Q) with vLLM and Tencent! Please find the meetup slides [here](https://drive.google.com/drive/folders/1Pid6NSFLU43DZRi0EaTcPgXsAzDvbBqF).
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- [2025/06] [User stories](https://vllm-ascend.readthedocs.io/en/latest/community/user_stories/index.html) page is now live! It kicks off with LLaMA-Factory/verl//TRL/GPUStack to demonstrate how vLLM Ascend assists Ascend users in enhancing their experience across fine-tuning, evaluation, reinforcement learning (RL), and deployment scenarios.
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@@ -73,7 +74,7 @@ Below is maintained branches:
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| Branch | Status | Note |
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|------------|--------------|--------------------------------------|
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| main | Maintained | CI commitment for vLLM main branch and vLLM v0.12.0 tag |
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| main | Maintained | CI commitment for vLLM main branch and vLLM v0.13.0 tag |
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| v0.7.1-dev | Unmaintained | Only doc fixed is allowed |
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| v0.7.3-dev | Maintained | CI commitment for vLLM 0.7.3 version, only bug fix is allowed and no new release tag any more. |
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| v0.9.1-dev | Maintained | CI commitment for vLLM 0.9.1 version |
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