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
- [Core] Log more GPU memory reservation info
- [Bug]: Special tokens split when decoding after 0.4.0.post1
- [Bug]: I used vllm=0.4.1 to run the squeezellm, I meet the bug RuntimeError: t == DeviceType::CUDA INTERNAL ASSERT FAILED at "/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/torch/include/c10/cuda/impl/CUDAGuardImpl.h":25, please report a bug to PyTorch.
- [Usage]: prefix-caching
- [Bug]: i cant't use vllm lora with 2gpus, but 1 gpu is ok
- [Performance]: large rate of decrease in generation throughput when SamplingParams.logprobs increases
- [Feature]: Supporting a version of Consistency LLM
- [Bug]: export failed when kv cache fp8 quantizing Qwen1.5-72B-Chat-GPTQ-Int4
- [Bug]: why the logits is different between 0.4.1 and 0.4.2
- [Bug]: squeezeLLM with sparse could not work.
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