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] Enable sequence-parallel MoE with pipeline parallelism
- [RFC]: A conformance suite for KV-cache key partitioning
- [Metrics] Expose per-request remote KV wait time
- [Core][Frontend] Bind weight versions to generation requests
- [Mooncake][PD] Support DCP transfer for MLA/GQA models
- [Bug]: Whisper transcription `prompt` corrupts decoding — `<|prev|>` is not a Whisper vocab token (should be `<|startofprev|>`)
- [Bugfix] Whisper prompt conditioning: use the real `<|startofprev|>` token
- [Bug][XPU]: AutoRound int4 models silently emit garbage under concurrent requests; ARK WOQ backend is auto-selected with no opt-out
- [Performance]: Best practices for preventing GPU OOM in production
- [Bugfix][Distributed] shm_broadcast: copy out-of-band buffers at enqueue to fix zero-copy send race
- Docs
- Python not yet supported