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
- [main][feature] Support quarot for eagle3
- Yejin/fix warmup drain
- [Feature Request]: W4A8 (compressed-tensors) Kernel support for Blackwell SM100+
- Perf: Optimize CPU detokinzation for long decodes
- [WIP][Proof of concept] Overlap model loading and torch.compile
- [Docs] Add doc note about building for free-threaded Python.
- # [Feature] Add EPLB Support for Minimax M2 Model
- [Bugfix] Grammar was ignored when reasoning ended within speculated tokens
- Fix random dataset parameter defaults silently overriding user input
- [Feature] Add `response_prefix` parameter to audio transcription/translation endpoints
- Docs
- Python not yet supported