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
- Milestone 1 of Internal Process-level Fault Tolerance (RFC #27866)
- [Core] WhisperEncoder support `torch.compile`
- [Usage]: How to use DeepSeek-R1-0528-Qwen3-8B with function call
- [RFC]: KV cache offloading
- [DO NOT MERGE] Enable HF processing on GPU
- feat: Add SM121/GB10 (DGX Spark) Blackwell-class GPU support
- [Performance]: Update Cascade Attention Heuristics for FA3
- [Feature]: Composite model loading using `AutoWeightsLoader` for all models
- [V1][Experimental] Jump-forward decoding
- [Feature]: Implement Concurrent Partial Prefills In V1 Engine
- Docs
- Python not yet supported