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] DeepSeek V4: skip expert tensor when no mapping succeeds (AMD + NVIDIA)
- Add speculative decoding metrics
- [Feature] Add tanh softcapping support to FlexAttention backend
- feat(benchmark): support custom system prompt, request_id tracking, and length filtering controls in bench serve
- [Bug] MXFP8 MoE always falls back to MARLIN on SM_121 (DGX Spark / GB10): TrtLlmFp8ExpertsBase gates on family(100), excluding SM_12x consumer Blackwell
- b12x nvfp4 w4a16 use a16 fix
- [Bug]: DeepSeek reasoning parser can emit reasoning_content and content in the same streaming chunk
- [ROCm][Perf] Enable AR+RMS fusion for GemmaRMSNorm models
- [Bug][Deepseek v4][DBO]: AssertionError: positions is required for C128A metadata build File
- [Bug]: gpt-oss-120b MXFP4 MoE init OOM-killed on unified-memory ARM (DGX Spark / Jetson Thor)
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- Python not yet supported