Comments (1)
The triton kernel is tailored to AMD at the moment. I would recommend setting VLLM_ATTENTION_BACKEND=xformers instead
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Related Issues (20)
- [Misc]: Curious why this is happening: Running phi-3-vision on a RTX 3070 (8GB VRAM) works with transformer but not with vllm (goes out of memory) HOT 3
- [Bug]: Concurrently captioning images with phi3 Vision can cause the backend to crash HOT 3
- [Feature]: Request for SmartSpec Method Support HOT 2
- [Installation]: Wrong torch header file referenced when compiling from source
- [Bug]: Query with logprobs and echo crashes vllm (llama-3-8b-instruct) HOT 1
- [Feature]: Add distributed inference support for lora adapters.
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- [Bug]: Inconsistent Responses with VLLM When Batch Size > 1 even temperature = 0 HOT 1
- [Misc]: How can I serve multiple models on a single port using the OpenAI API? HOT 3
- [Bug]: TRACKING ISSUE: `AsyncEngineDeadError`
- [Bug]: Internal Server Error when hosting Salesforce/SFR-Embedding-Mistral
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- [Feature]: Support for google/gemma-2-9b-it / gemma-2-27b-it HOT 1
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- [New Model]: Florence-2
- Virtual Office Hours: July 9 and July 25
- [Bug]: Illegal memory access for MoE kernel with large workloads HOT 1
- [Bug]: "work_use_ray" not work anymore in the latest version HOT 2
- [Usage]: can I save log to a file? HOT 1
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