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
- Perf: Optimize CPU detokinzation for long decodes
- set VLLM_USE_BYTECODE_HOOK to 0 by default
- [WIP][Proof of concept] Overlap model loading and torch.compile
- [Docs] Add doc note about building for free-threaded Python.
- [RFC]: Add InstantTensor Support in vLLM
- Set default value for --ready-check-timeout-sec flag in benchmarking script
- # [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
- [Bugfix] Fix zombie EngineCore processes after parent exit
- Docs
- Python not yet supported