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 Runner V2] support qwen35 / mamba hybrid model
- [Bugfix] Fix empty channel/recipient in harmony for /v1/responses
- feat: batch-aware expert pruning (XShare) for MoE models
- Yejin/bench ramp fix v2
- [Bugfix][ROCm] Fix MXFP4 online quantization for MoE models at tp=1
- [Model Runner V2] Use pre-allocated tensors
- [Docs] Add speculative-config configuration reference page
- Replace bare Exception with specific exception types (v1, entrypoints)
- [Bugfix] Suppress UserWarning in binary2tensor for read-only numpy arrays
- feat(qwen3-asr): support prompt parameter in v1/audio/transcriptions
- Docs
- Python not yet supported