Comments (1)
I would recommend using a newer version of vLLM. Older versions do not get patched.
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Related Issues (20)
- [Bug]: when using llama-3.1-70b-instruct for inference, input with large number of tokens(>8k) will result in endless output
- [Bug]: Mismatch in the number of image tokens and placeholders during batch inference HOT 2
- [Bug]: Streaming API: Abort functionality not working as expected
- [Usage]: how to use guided_decoding_backend? HOT 1
- [Feature]: Please Support FATRelu
- [Usage, bug]: vLLM Docker | ValueError: OpenTelemetry packages must be installed before configuring 'otlp_traces_endpoint' during vLLM startup
- [Performance]: vllm量化和非量化的性能对比 HOT 3
- [Bug]: when `echo=True`, vllm will append chat template(`assistant`) after the last message HOT 6
- [Misc]: how to add tests for new backends? HOT 1
- [Feature]: Pipeline Parallelism support for the Vision Language Models HOT 4
- [Usage]: Qwen2 GGUF model can't run successfully HOT 7
- [Feature]: Overlap model weight loading and model prefill HOT 2
- [RFC]: Add Ascend NPU as a new backend
- [Bug]: Inconsistent Output Behavior with and without tools and tool_choice Parameters
- [Usage]: Periodic snapshots for spot instances HOT 1
- [RFC]: Enable Memory Tiering for vLLM HOT 5
- [Bug]: vLLM inconsistently crashes on startup for multinode cluster HOT 7
- [Usage]: how to abort request? HOT 1
- [Usage]: alignment between trl and llm.generate
- [Bug]: errors when loading mixtral 8x7b
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