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]: GPU can only load the model once, it gets stuck when loaded again
- [Feature]: MultiModal benchmark_latency, benchmark_throughput, and benchmark_online
- [Bug]: The accuracy of vllm-Qwen2-VL-7B-Instruct is low.
- [torch.compile] A simple solution to recursively compile loaded model: using phi3-small as an example
- [Bug]: 启动之后 用了一段时间 显存越占越多
- [Bug]: AsyncLLMEngine hangs when using `asyncio.gather` with vllm version 0.5.5
- [Usage]: Execution speed of non-Lora requests
- [Bug]: Can't load any gemma 2 model
- [Kernel] Add prefix-caching support for phi-3-small-8k/128k model triton kernel
- [Performance]: V0.6.0 version of the model, benchmarking found that the number of successful responses accounted for half of the number of requests, which is why
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