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
- [Core] Refactor Flashinfer BatchPrefill* / BatchDecode* and trtllm_batch* wrappers' forward paths.
- [Bug]: Qwen3-Omni use_audio_in_video via --mm-processor-kwargs is broken in online serving: engine crash at startup, audio silently never fed, interleave placeholder/mRoPE errors
- [RFC]: Separate Flashinfer GQA into TRTLLM and flashinfer backends.
- [Core][Hardware][NVIDIA] Add custom all-reduce suspend hooks
- [Rust Frontend] Bootstrap the OpenTelemetry trace exporter
- Bump astral-sh/setup-uv from 7.6.0 to 9.0.0
- [Rust Frontend] Make HTTP request body limit configurable via VLLM_HTTP_MAX_JSON_BODY_SIZE
- [Bug]: disable_flashinfer_q_quantization + fp8 KV + spec decode silently corrupts sliding-window models on SM100 (trtllm-gen); BF16-Q paths also mis-apply q/k/v scales
- [ROCm][Spec Decode] Fix EAGLE3 layer0 acceptance collapse
- [Bug]: VLLM_USE_FASTOKENS=1 raises ImportError - fastokens package missing from Docker image and not listed as pip extra
- Docs
- Python not yet supported