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
- [Attention] Migrate FlashInfer MLA decode to unified API
- [K3] Optimize K3 recover ssm kernel times
- [Core] Separate DSpark scheduler input budgets
- [Bugfix] Fix int4 MoE tuner crash on the CUDA wna16 path
- Fix response_format strict=false for Chat Completions and Responses API
- [Bugfix] Avoid eager torch.compile in Kimi K2.5 vision helper
- [Bugfix] Tie lm_head.weight for Nemotron Parse when checkpoint omits it
- [Model][EPLB] Add static expert maps for DeepSeek V4
- [Bug]: `set_splitting_ops_for_v1` early return skips the empty-splitting-ops guard — breakable cudagraph + `cudagraph_mode=PIECEWISE` + spec decode silently rejects every draft
- [Docs] Add troubleshooting for attention backend errors
- Docs
- Python not yet supported