Related Issues (20)
- [Bug]: RuntimeError: CUDA error: no kernel image is available for execution on the device CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
- [Speculative decoding]: The content generated by speculative decoding is inconsistent with the content generated by the target model HOT 3
- [Performance]: Is kv cache implemented globally in vllm, It can be shared by multiple concurrent inferences? HOT 1
- [Feature]: Make a unstable latest docker image
- [Performance]: gptq and awq quantization do not improve the performance HOT 2
- [Installation]: Compiling VLLM for cpu only. HOT 2
- [New Model]: mistralai/Codestral-22B-v0.1 HOT 3
- [Usage]: Streaming Response from vLLM 0.4.2 -> 0.4.3 HOT 2
- [Usage]: Function calling for mistral v0.3
- [Bug]: vLLM does not support virtual GPU
- [Bug]: Unexpected prompt token logprob behaviors of llama 2 when setting echo=True for openai-api server HOT 1
- [Bug]: Getting an empty string ('') for every call on fine-tuned Code-Llama-7b-hf model HOT 1
- [Bug]: non-deterministic Python gc order leads to flaky tests HOT 13
- [Usage]: Howto quiet the terminal 'Info' outputs in vllm HOT 1
- [Performance]: [Automatic Prefix Caching] When hitting the KV cached blocks, the first execute is slow, and then is fast. HOT 2
- [Speculative decoding]: The content generated by speculative decoding is inconsistent with the content generated by : When I use the speculative mode and prompt_length+output_length > 2048, the error occurs HOT 1
- [Bug]: Qwen2 MoE: AttributeError: 'MergedColumnParallelLinear' object has no attribute 'weight'. Did you mean: 'qweight'? HOT 2
- [Bug]: with `--enable-prefix-caching` , `/completions` crashes server with `echo=True` above certain prompt length HOT 2
- [RFC]: Refactor MoE
- [Bug]: TorchSDPAMetadata is out of date HOT 2
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