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][CPU] Fix "Current vLLM config is not set" error in CPU MoE fallback
- [Bugfix][Kernel] Fix int32/uint overflow in merge_attn_states and permute_cols
- [Attention][MLA] FlashMLA sparse: enable DCP on the fp8 mixed-batch path and MTP with full cudagraphs
- [Bugfix][Frontend] Constrain forced named tool choice with empty parameters to a JSON object
- [Bug]:GGUF model crashes API on v0.22 with T4 GPU (worked on v0.21)
- [MyPy] Fix mypy errors in kimi model family (3/5 files)
- [Bug]: Unknown vLLM environment variable detected: VLLM_BUILD_COMMIT/VLLM_BUILD_PIPELINE/VLLM_BUILD_URL/VLLM_IMAGE_TAG
- [Feature/Gap] DSA models (GLM-5.1 / DeepSeek-V3.2-family, use_sparse=True) cannot select any attention backend on SM121 (GB10 / DGX Spark)
- [Feature]: Expose LoRA Adapter Cache Residency in vLLM Metrics
- [Kernel] [vLLM IR] [Perf] Add support for mixed input/weight dtype to rms norm quant fusion ops
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