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
- [New Model]: Couqi XTTS_v2 multilanguage text-to-speech
- [Bug]: Gemma4ForConditionalGeneration + runtime LoRA greedy decode diverges from HuggingFace transformers on text-only prompts
- [Structured Output] Drop ngram padding (-1) in guidance validate_tokens (fixes #47025)
- [Core] Use FlashInfer for pre-SM100 NVFP4 KV cache updates
- [Spec][V2] Support MTP speculative decoding under pipeline parallelism
- [Bugfix][MiniMax-M3] Fix garbled outputs and streaming reasoning parser on NVFP4 MoE backends for SM 12.0a (RTX PRO 6000 Blackwell)
- Fix Cutlass FP8 padded weight loader replacement
- [Bug]: Crash on using JSON structured output with speculative decoding on guidance backend
- Revert "[MM][CG] Gemma3 Encoder CUDA Graph" (#43591)
- [BugFix] Improve DCP error message with actionable remedy
- Docs
- Python not yet supported