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
- [Bug]: Illegal memory access
- [Feature]: Access to user information in scheduler
- feat: adds user information to the input of the scheduler
- [Bugfix] [Core] don't schedule prefill if freeing kv cache
- Cohere model output speed about 5 tokens per second on vllm.
- [Bug]: error when requesting max-num-seqs with speculation
- [Installation]: vllm on NVIDIA jetson AGX orin
- [Feature]: Initial LLM token
- [Bug]: Embedding doesn't work with `device="cpu"`
- [Bug]: GPTQ-Marlin kernel illegal memory access with `group_size=32`, `desc_act=True`, `tp=4`
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- Python not yet supported