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
- [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.
- [ROCm][DSV4][Perf] Step 1/N: Port ATOM attention into vLLM: port single-node single-token-prediction case
- [Core][Hardware][NVIDIA] Add custom all-reduce suspend hooks
- [WIP][Spec Decode] DSpark confidence-scheduled verification
- [Rust Frontend] Bootstrap the OpenTelemetry trace exporter
- Bump astral-sh/setup-uv from 7.6.0 to 8.3.0
- [Bugfix][OpenAI] Fix streamed completion logprob offsets with echo
- [Bugfix][Responses] Respect json_object text format
- [Bugfix][Frontend] Preserve logprobs when top_logprobs is null
- Docs
- Python not yet supported