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
- [Bugfix][KV Connector] Synchronize engine IDs across PCP ranks
- [Bugfix][Gemma4] Wire Gemma-4 MoE layers into EPLB
- [Performance]: Avoid dense initial-state materialization in Mamba2 continued prefill
- [Perf][Mamba] Avoid initial-state snapshots for single-sequence Mamba2 prefill
- [Bug]: LoRA + Gemma4 MTP speculative decoding crashes at startup — draft pre_projection shape mismatch
- [Frontend] Build and serialize logprob responses in pydantic-core
- [Core][Metrics] Export deferred waiting requests by the reason they were deferred
- [Doc] Add batch-invariance errata for v0.20.0-v0.22.0 compute capability note
- [Bugfix][Frontend] Constrain Qwen3 XML tool calls written without <tool_call>
- [Bugfix][Model] Preserve Dynamic NTK base below the trained context length
- Docs
- Python not yet supported