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
- [Feature]: Support multi-node serving on Kubernetes
- [Model] LoRA with lm_head and embed_tokens fully trained
- [Bug]: when tensor-parallel-size>1,Stuck
- [Bug]: deploy on V100, mma -> mma layout conversion is only supported on Ampere
- Print request metrics to stdout
- [Core][Kernel][Misc] Support external swapper for vllm
- [Bug]: When enabling LoRA, greedy search got different answers.
- [WIP][Spec Decode] Add multi-proposer support for variable and flexible speculative decoding
- [Bug]: Is vllm compatible with torchrun?
- [Usage]: Confirm tool calling is not supported and this is the closest thing can be done
- Docs
- Python not yet supported