Related Issues (20)
- [Usage]: ValueError: fp8_e5m2 kv-cache is not supported with fp8 checkpoints.
- [Bug]: Obvious hang caused by Custom All Reduce OP(Valuable Debug Info Obtained) HOT 6
- [Bug]: Pixtral inference not working correctly with LLMEngine/AsyncEngine HOT 8
- [Bug]: 启动之后 用了一段时间 显存越占越多 HOT 3
- [Bug]: use speculative model in vllm error: TypeError: Worker.__init__() got an unexpected keyword argument 'num_speculative_tokens' HOT 10
- [Misc]: What is the relationship between max-num-seqs, max-num-batched-tokens and max-model-len?
- [Misc]: Can vLLM go out of memory during the decode phase if too many tokens are generated? HOT 1
- [Bug]: PyNcclCommunicator error when inferencing HOT 4
- [Bug]: mismatch between multimodal tokens and placeholders for Llava-Next (4 GPUs) HOT 12
- [Bug]: NCCL get stuck when instantiating the LLM class. HOT 5
- v0.6.1.post1 Release Tracker HOT 6
- [Bug]: Pixtral + guided_json fails with Internal Server Error HOT 7
- [Bug]: ValueError: could not broadcast input array from shape (513,) into shape (512,) HOT 2
- [Doc]: Add Kubernetes (K8s) Deployment Documentation for vLLM with GPUs HOT 2
- [Usage]: why speculate decoding is slower than normal decoding? HOT 3
- [Usage]: Batching in online inference HOT 2
- [Bug]: GPU can only load the model once, it gets stuck when loaded again HOT 10
- [Bug]: 2 nodes serving hanging HOT 18
- [Bug]: using Dockerfile to build image got Killed,even when I have 32g of ram
- [Bug]: when curl /chat/completions, TypeError: Unable to evaluate type annotation 'Required[Union[str, Iterable[ChatCompletionContentPartTextParam]]]'. HOT 18
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from vllm.