Comments (1)
You can set the --gpu-memory-utilization
parameter to a smaller value (default is 90% of each GPU)
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Related Issues (20)
- [Performance]: Add weaker memory fence for custom allreduce
- [Bug]: How can I run VLLM serving without an internet connection? I tried setting the global variable but it still trying to connect to huggingface HOT 2
- [Usage]: How to use AutoModelForSequenceClassification correctly HOT 6
- [Installation]: vLLM Not Working on x86 CPUs from v0.6.1 Onwards HOT 5
- [Bug]: Model architectures ['Qwen2AudioForConditionalGeneration'] are not supported for now. HOT 3
- [New Model]: We can able to run phi-3.5 vision instruct model but wanted to run in int4 quantization HOT 8
- [Usage]: Collect performance metrics in offline serving
- [Performance]: Moving the initialisation of the v variable in the _fwd_kernel() function has an effect on performance.
- [Usage]: Get first token latency HOT 1
- [Bug]: AMD with multi-step enabled crashes HOT 1
- [Bug]: CPU silently doesn't support prompt adapter
- [Bug]: : CPU silently doesn't support multi-step (--num-scheduler-steps)
- [Feature]: Batch inference for `llm.chat()` API HOT 1
- [Bug]: crash on Triton backends when start vllm 0.6.1 HOT 5
- [Usage]: Dose vLLM support embedding api of multimodal llm? HOT 3
- [Usage]: Model Qwen2VLForConditionalGeneration does not support LoRA, but LoRA is enabled. HOT 2
- [Installation]: How to install vLLM on Jetson
- [Usage]: Running LLMEngine (or AsyncLLMEngine) in Arrow Flight RPC do_exchange()
- [Installation]: I want to install with CPU follow the guide on windows (wsl2, ubuntu) but the wsl crash. HOT 2
- [Bug]: L40 GPU deepseek-v2 fp8 cuda graph error; Using `--enforce-eager` can run properly. HOT 3
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