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][Platform] sm12x: add FLASHMLA_SPARSE (Triton sparse-MLA) to the MLA-sparse backend candidate list — flashinfer sparse_mla_sm120 livelocks on GB10
- [Bugfix][Spec Decode] Reach TP consensus on the drafter-pass gate before launching drafter collectives (fixes rank-divergent wedge at max_model_len boundary)
- [Doc] Correct gRPC and OpenTelemetry flag names in security and metrics docs
- Unexpected EngineCore death exits serving process 0, defeating Restart=on-failure
- [Bug]: LoRA on MLA kv_b_proj is silently never applied — decode bypasses it via absorption, prefill via a stale pre-wrap reference
- [Build] Migrate vendored DeepGEMM from pybind to TORCH_LIBRARY (abi3)
- [Perf][Triton] Reassociate softmax scale onto Q in unified attention
- fix: reject duplicate JSON keys in Hermes tool parser for streaming consistency
- reasoning: treat no-think-block output as content, not reasoning
- [Bug]: Anthropic /v1/messages renders system-role messages inside `messages` positionally into the chat template (breaks Claude Code >=2.1.2xx tool calling)
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