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
- fix(quant): resolve unquantized embedding method for MiniMax-M3
- [Bug]: Multimodal image inputs fail on /v1/responses while identical inputs work on /v1/chat/completions
- Fix gpt-oss-20b NVFP4 (ModelOpt) inference
- Fix: Calculate ITL using exact token delta from usage stats (#27485)
- [Bugfix] Exclude disagg P/D transfer tokens from cached_tokens (NixlConnector)
- [Frontend][Responses] Accept chat-completions image format on /v1/responses (#46631)
- Support `srt` response format for audio transcription
- [Bugfix] Fix UVA offload fallback copies
- [ROCm][DSV4][Kernel] Add gfx950 HIP compressor path
- [torch.compile] fix misleading docstrings in non-impacting config compute_hash (#39479 item 7)
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- Python not yet supported