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][Reasoning] Accept all K2 Horizon end-of-thinking tags regardless of reasoning_effort
- [Doc] Use Qwen/Qwen3-0.6B instead of OPT in docs examples
- [Model][Quantization] Add BitNet b1.58 support
- [MM][CG] Support ViT full CUDA graph for Ovis2.5
- [Bug]: Built-in LMCacheConnectorV1 does not forward shutdown(), so LMCache never stops and EngineCore is force-killed
- [Bugfix][Model] Fix DiffusionGemma vision prefix masking
- [Installation]: [ROCm] Gemma4 multimodal model fails to start on vLLM 0.32.0 due to excessive video encoder memory reservation (negative KV cache)
- [Bug]: Qwen3.6 GDN greedy DFlash2 divergence from batch-dependent numerics and preemption/recompute (v0.31.0)
- [RL] Support partitioned trainer source groups for NCCL M2N
- [Bugfix][NIXL] Save chunked host-buffer prefills after their final chunk
- Docs
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