vllm
https://github.com/vllm-project/vllm
Python
A high-throughput and memory-efficient inference and serving engine for LLMs
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- Issues
- # [Feature] Add EPLB Support for Minimax M2 Model
- [Bugfix] Grammar was ignored when reasoning ended within speculated tokens
- Fix random dataset parameter defaults silently overriding user input
- [Bugfix] Fix zombie EngineCore processes after parent exit
- Add adaptive decode chunking for SM100 fused TRTLLM path (TMP FIX)#34988
- [Bug]: Protocol inconsistency between Scheduler and Runner when using Speculative Decoding
- [Feature] Add `response_prefix` parameter to audio transcription/translation endpoints
- [Benchmark] Add iteration benchmark with server-side step stats and t…
- Add unit tests on cutlass moe
- [Bugfix] Fix safetensors metadata OOM for large model headers
- Docs
- Python not yet supported