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]: Add readiness endpoint /ready and return /health earlier (vLLM on Kubernetes)
- [Bug]: call for stack trace for "Watchdog caught collective operation timeout"
- [Usage]: is there a way to turn off fast attention? a parameter maybe? my model deployment takes 30min to complete
- [Bug]: Garbled Tokens appears in vllm generation result every time change to new LLM model (Qwen)
- [Bug]: ValidationError using langchain_community.llms.VLLM
- [Feature]: support Ascend 910B in the future
- [New Model]: Lora for Qwen/Qwen2-57B-A14B
- [Bug]: TypeError in benchmark_serving.py when using --model parameter
- [Kernel] Unify the kernel used in flash attention backend
- [Bug]: benchmark_serving.py cannot calculate Median TTFT correctly
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