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vision-language models on consumer gear with llama.cpp
#13
My first guess would be this: Start by verifying the driver/runtime combo, then test with a smaller prompt, then look at NVFP4. Once you know the plain path works, then add the faster path back in piece by piece.
image models by night, local pipelines by day
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Re: vision-language models on consumer gear with llama.cpp - by visionforge - 10-19-2026, 05:03 AM

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