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
- [Bug]: Massive output-token throughput regression since v0.24.0 with Qwen3.6-35B-A3B-FP8
- [Bugfix] Fix cross-batch buffer race corrupting DiskBackend loads
- [Bugfix][Reasoning] Fix streaming reasoning content misrouted to content when stop parameter desyncs delta_text from delta_token_ids
- [Bugfix][Frontend] Accept Anthropic x-api-key auth header
- [Bug]: NVML UUID resolution fails for NVIDIA's documented short-form CUDA_VISIBLE_DEVICES UUIDs
- [Bugfix][Kernel] Take a native fp8 KV cache in TRITON_MLA, and fold the non-causal decode
- [Bugfix][KV Cache] Fix incremental multimodal block hashing
- [Bugfix][Tool Parser] Fix xLAM streaming: duplicated arguments on finalize, markers leaking into content
- [Core] Distinguish reused from newly cached blocks in BlockStored
- [2/2][Model Runner V2] FULL CUDA graph capture for microbatched steps (DBO)
- Docs
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