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
- [RFC]: Make device agnostic for diverse hardware support
- [Usage]: Manually Increasing inference time
- [Bugfix] fix error due to an uninitialized tokenizer when using `skip_tokenizer_init` with `num_scheduler_steps`
- [Bug]: Qwen2.5-72B-Instruct压测出现AsyncLLMEngine has failed, terminating server process
- Questions about the inference performance of the GPTQ model
- [Bug]: 1.0.0.dev placeholder doesn't work with `uv pip install`
- [Bug]: initializing multiple LLM classes simultaneously on the same GPU get an error
- [Bug]: ptxas /tmp/tmpxft_002385ca_00000000-11_attention_kernels.compute_50.ptx, line 4986061; error : Feature 'f16 arithemetic and compare instructions' requires .target sm_53 or higher
- [Bug]: VLLM doesn't support LoRa with config `modules_to_save`
- [Feature]: Simple Data Parallelism in vLLM
- Docs
- Python not yet supported