LocalLLaMA

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Welcome to LocalLLaMA! Here we discuss running and developing machine learning models at home. Lets explore cutting edge open source neural network technology together.

Get support from the community! Ask questions, share prompts, discuss benchmarks, get hyped at the latest and greatest model releases! Enjoy talking about our awesome hobby.

As ambassadors of the self-hosting machine learning community, we strive to support each other and share our enthusiasm in a positive constructive way.

founded 2 years ago

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Beginner questions thread (sh.itjust.works)

submitted 2 years ago by [email protected] to c/[email protected]

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Trying something new, going to pin this thread as a place for beginners to ask what may or may not be stupid questions, to encourage both the asking and answering.

Depending on activity level I'll either make a new one once in awhile or I'll just leave this one up forever to be a place to learn and ask.

When asking a question, try to make it clear what your current knowledge level is and where you may have gaps, should help people provide more useful concise answers!

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[–] [email protected] 2 points 1 month ago* (last edited 1 month ago) (1 children)

From what I know, I assume yes, the relation between model size and speed/performance should be linear. Maybe there is some additional small overhead making it a bit faster or slower than expected. But I'm really not an expert on the maths, so don't trust me.

And maybe have a look at this bugreport: https://github.com/ggml-org/llama.cpp/issues/11332
I think it matches your situation. They resolve this by messing with the batch size and someone recommends not to use Vulkan on an iGPU.

[–] [email protected] 1 points 1 month ago

Oh great, thanks