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
- [ROCm] Use unified decode fallback for sliding-window AITER FA
- Revert "fix(moe): fix RoutedExpertsCapturer assertion failure with DP>1 and MK path" (#37879)
- [Bugfix] Add bias to SKIP_TENSORS to fix online FP8 for models with biased linears
- [Bugfix] Fix Gemma 4 pipeline parallelism crash — IntermediateTensors .get() and None values
- [RFC]: Async parallel startup for EngineCore processes in DP/TP scenarios
- [Bug]: Qwen3.5 `thinking_token_budget` causes `reasoning_end_str` to leak into `content` field
- [CI/Build] Fix use_existing_torch.py to recursively match requirements subdirectories
- [Feat][KVConnector] Add `bind_gpu_block_pool()` to KVConnectorBase_V1
- Revert "[HMA] [KVEvent] Enable GPU-side KV events for HMA" (#37688)
- [Bugfix]fix reasoning-parser(deepseek_v3) output error when think and structured output enabled
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