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
- Revert "Weight sync refactor + move sparse nccl engine" (#44353)
- [Bugfix] Cap available ram at the amount reported by cgroups if possible
- [Spec Decode] Add DSpark support for Qwen3.5 target models
- Update assertion for CPU storage pinning check
- fix(metrics): fix TPOT accounting for MTP multi-token outputs
- [Bugfix][MoE] Plumb swigluoai activation into FlashInfer b12x MoE
- [LoRA] Add DoRA support for serving and linear layers
- [Bugfix] Load per-shard per-tensor FP8 scales for fused GDN in_proj (Qwen3.5/Qwen3-Next)
- [Bugfix] Skip cache-served mm items in tower/connector LoRA mapping
- Add jitter to LoRA adapter_config.json load retries
- Docs
- Python not yet supported