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
- [Model] MLPSpeculator quantization support
- [Kernel] Factor registrations
- [Bug]: ValueError: could not broadcast input array from shape (513,) into shape (512,)
- [Usage]: why speculate decoding is slower than normal decoding?
- [torch.compile] A simple solution to recursively compile loaded model: using phi3-small as an example
- [Bug]: 启动之后 用了一段时间 显存越占越多
- [CI/Build]: Add Bandit security check to workflow
- [Bugfix] Reenable LRU cache on Outlines' guide getters
- [RFC]: Pinned Caching with Automatic Prefix Caching (Related to Anthropic Prompt Caching API)
- [Performance]: guided generation is very slow in offline mode
- Docs
- Python not yet supported