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] Pad Ernie video frame pairs before multimodal processing
- [WIP] Respect speculative CPU Mamba state index tables
- [WIP] Handle ragged speculative decode in CPU ShortConv
- [WIP] Avoid pixel allocation when counting Pixtral image patches
- [WIP] Release unused LoRA resolver locks
- [WIP] Bound retained batch forward timing samples
- [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)
- Docs
- Python not yet supported