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
- [KV Connector][NIXL] Add restart lifecycle hooks for checkpoint restore
- [Bugfix][EPLB] Stop async worker before distributed teardown
- [watermarking] Add SBW (Stateless Bernoulli Watermarking) algorithm
- [CI] Split (H200 MIG 35GB / MI355) Quantized Models into GPTQ Marlin, AWQ and Other Schemes jobs
- [KVConnector][NIXL] Opt-in per-layer overlapped WRITE-push for disaggregated KV transfer
- Add cost-aware preemption victim selection
- [Frontend][Metrics] Add per-request reasoning and content token metrics
- [KV Connector] Save decode-phase Mamba states and fingerprint MooncakeStoreConnector keys
- [RFC]: Split scale-out into owned components (Renderer / Frontend / Generation) with dedicated launch commands
- [Bug]: DeepSeek-V2-Lite with online FP8 on an RTX 4090 (TRITON_MLA): NaN logits on every request once three or more sequences are decoded in one CUDA-graph batch
- Docs
- Python not yet supported