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
- [Model] Qwen3-Next Splitting GDN attention calculation in mixed batches of Prefill and Decode
- [Doc] Add contribution guide for MoE/attention/quantization backends
- Fix dtype detection for local model paths
- Fix infinite recursive search issue in quark.py
- [New Model]: microsoft/VibeVoice-ASR support
- [Bug]: MiniMax-M2.1 NVFP4 fails on RTX PRO 6000 Blackwell (SM120) with expert parallel
- [Bugfix][Hardware][AMD] Fix MXFP4 weight loading for Quark OCP_MX MoE models
- [Bug]: "ValueError: No tokenizer file found in directory" when serving Qwen3-Omni
- [Bugfix] Fix empty response under concurrent requests
- [compile][cuda_graph]Add sym_size handling by folding them to constant
- Docs
- Python not yet supported