vllm
https://github.com/vllm-project/vllm
Python
A high-throughput and memory-efficient inference and serving engine for LLMs
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Help out
- Issues
- [Tracking][Help Wanted] TP-agnostic KV offloading
- [Docs][Model] Sync supported-model tables with the registry and add a consistency test
- [Bugfix][Frontend] Do not count the token sampled for echo with max_tokens=0
- [Bugfix][Metrics] Uncount tokens trimmed past a stop string
- [Bugfix][Model] DiffusionGemma: stop sampler recompiles during serving
- [Spec Decode] Enable fused MTP updates for FlashInfer sparse MLA
- [Doc] Fix stale references in metrics, transcription, and spec decode docs
- [Perf] Compute MRV2 prompt logits only for scored prompt rows
- [Bug]: GLM-5.3-Flash with --mm-encoder-tp-mode data gives wrong image and video answers (images look mixed up), TP=2 on B200, v0.31.0
- [ROCm][Perf][DSV4] Keep one decoder-replay row on unfinished prefills on gfx942
- Docs
- Python not yet supported