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
- flashinfer gdn decode kernel integration
- [Core] V1 Concurrent Partial Prefills Enablement
- [Attention][TurboQuant] Pre-bake Lloyd-Max centroids for common (d, bits) shapes
- [Perf] Fuse Qwen3.5 GDN in_proj_ba into 6-way in_proj MergedColumnParallelLinear
- fix(llama): use weightless RMSNorm for FlashNorm-folded checkpoints (has_weight=False)
- [Model] Add MixtureOfExperts support for PhiMoE
- [Core] feat: add optional cap for --max-model-len auto
- [Feature]: Helion Kernels for MLA (Decode)
- [Feature]: Migration from Model Runner v1 to Model Runner v2
- [Bug]: Garbled Output in DeepSeek-V4 with CUDA Graph Enabled Under Concurrent Identical Input Requests
- Docs
- Python not yet supported