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
- [Bugfix][Spec Decode] DSpark: store draft KV cache in model dtype for MLA-only cache layouts; fail fast on DCP
- [Bug]: qwen3-Omni-30B-A3B video inference raises error when input video has no audio track
- [Bugfix] Size the sparse-indexer expanded block table from the runner's block-table width
- [Bugfix][MM] Fix MiniCPM-V placeholder replacement and image processor loading on Transformers v5
- [ROCm][Quant] Requantize serialized MXFP8 linears to FP8 PTPC
- [Bugfix] Preserve Marlin runtime tensor storage across weight reload
- [Perf] Zero-copy torch.Tensor pickling in shm_broadcast MessageQueue
- [Feature]: Support response_format=diarized_json for OpenMOSS Transcribe-Diarize
- [Bugfix] Wire up weight offloader in V2 Model Runner (`--cpu-offload-gb` was silently a no-op)
- [Bug]: glm-5.2-fp8 with --kvcache-dtype fp8 with h20-3e with dspark error
- Docs
- Python not yet supported