v0.11.1

What's Changed

🚀 Features

• [ascend] support dptp by @tangzhiyi11 in #4218
• Support Deepseek v32 by @grimoire in #4026

💥 Improvements

• Improve metrics by @CUHKSZzxy in #4178
• reserve blocks for dummy inputs by @grimoire in #4157
• Add vision id for Qwen3-VL by @CUHKSZzxy in #4183
• [Enhance]: Return routed experts when request canceled by @RunningLeon in #4197
• Add mm processor args for Qwen3-VL by @CUHKSZzxy in #4196
• support chat_template_kwargs in v1/chat/completions by @lvhan028 in #4201
• Refactor scheduler and engine.py by @grimoire in #4163
• update dp timeout by @grimoire in #4204
• Improve Qwen3-VL by @CUHKSZzxy in #4207

🐞 Bug fixes

• [Fix]: Split routed experts with query lens by @RunningLeon in #4180
• [Maca] fix ray and memory sync by @wanfengcxz in #4164
• Build block trie in prefill and add hit rate by @RunningLeon in #4184
• fix fope by @CUHKSZzxy in #4191
• fix hf modules read/write conflicts by multi processors by @lvhan028 in #4188
• Some Minor fix by @windreamer in #4185
• fix insecure deserialization when calling torch.load() by @lvhan028 in #4202
• Fix processor args by @CUHKSZzxy in #4200
• remove get_model_config to avoid pickle hf_config error in rpc calling by @lvhan028 in #4217
• Fix quant scale-fmt by @grimoire in #4212
• Fix requests of mix return_logprobs by @RunningLeon in #4222
• fix fillkv quant8 by @grimoire in #4229
• fix scale-fmt by @grimoire in #4230

📚 Documentations

• [Docs]: Add guide for VLMEvalKit by @CUHKSZzxy in #4156

🌐 Other

• Add FA3 by @CUHKSZzxy in #4166
• Add distributed test cases by @littlegy in #4161
• Add generate test by @littlegy in #4181
• [ci] add mllm eval by @zhulinJulia24 in #4194
• [ascend] refactor code by @yao-fengchen in #4176
• install serve.txt when building the docker image by @lvhan028 in #4219
• bump version to v0.11.1 by @lvhan028 in #4221

Full Changelog: v0.11.0...v0.11.1