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]: Ministral is broken with --kv-cache-dtype fp8 in 0.25.1
- [Test] e2e hybrid-Mamba prefix-cache corruption regression tests (#43559)
- [Bugfix][Parser] Ignore trailing text in Mistral v11 tool args
- [rl] Stateful Trainer Send: IPC [2/N]
- [Bugfix][Structured Output] Wire whitespace_pattern through V1 backends
- [Kernel] Opt-in FP8 requant of bf16 attention proj on NVFP4 checkpoints
- [Attention][MiniMax-M3] Add FlashInfer MSA backend for SM120/SM121
- [Bugfix] Suppress spurious EngineDeadError log during intentional AsyncLLM shutdown
- [Bug]: DBRX MoE weight loading crashes with KeyError after FusedMoE/MoERunner inversion refactor (#41184) — dbrx.py missed by follow-up fix #45054
- [Bug]: Minimax MSA - AttributeError: module 'cutlass.cute.core' has no attribute 'ThrMma'
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