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
- [WIP] Retain async worker capacity until cancelled jobs finish
- [WIP] Bound GLM video frame sampling work
- fix(renderers): preserve special tokens when truncation_side matches tokenizer default
- [Bug]: NixlConnector silently corrupts Mamba2 conv state under heterogeneous TP when n_groups is not divisible by TP (e.g. granite-4.0-h, n_groups=1)
- [Perf][Mamba] Capture the Mamba2 mixer in piecewise CUDA graphs
- [Bugfix][NIXL] Transfer Mamba2 conv state across TP sizes when B/C are replicated
- [Spec Decode][MRV2] Support heterogeneous-vocab draft models (TLI)
- [Frontend] Support cross-machine snapshot (step 1: portable attachments)
- [Bugfix][Core] Redo prompt logprobs for requests resumed after reset_prefix_cache
- [Docs][KV Connector] Document NIXL KV connector metrics aggregation semantics
- Docs
- Python not yet supported