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
- [Feature][MRV2] Allow sparse prefill CUDA graph captures
- [Bugfix] Treat negative decimal CLI values as values, not dotted args
- [Bug]: DeepSeek V4.1 rejects reasoning_effort "medium" and "minimal" with 400
- [Bugfix] Fix ShardedStateLoader round-trip for attention/KV-cache scale params
- [Perf] Optimize packed encoder FlexAttention masks
- [DeepSeek-V4.1] Enable Engram disk offload for memory-constrained nodes
- [ROCm][Perf] MXFP8 emulation: run the dequantized weight through the platform GEMM
- [Bugfix][Structured Output] Honor resolved backends in mixed requests
- [Bug]: Tool-call argument coercion turns string values such as "0017" into integers for ["string", "integer"] parameters
- [Bugfix][Tool Parser] Preserve non-canonical numeric strings when schema allows string
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