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A comment on Gemma 3 QAT Models: Bringing AI to Consumer GPUs. Parent comment

Re:Gemma 3 QAT Models: Bringing AI to Consumer GPUs by rs186 on Sunday April 20, 2025 @04:33PM (#43746346)
I have a 4070 super for gaming, and used it to play with LLM a few times. It is by no means a bad card, but I realize that unless I want to get 4090 or new Macs that I don't have any other use for, I can only use it to run smaller models. However, most smaller models aren't satisfactory and are still slower than hosted LLMs. I haven't found a model that I am happy with for my hardware.

Regarding agentic workflows -- sounds nice but I am too scared to try it out, based on my experience with standard LLMs like GPT or Claude for writing code. Small snippets or filling in missing unit tests, fine, anything more complicated? Has been a disaster for me.

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Re:Gemma 3 QAT Models: Bringing AI to Consumer GPUs by taneq on Monday April 21, 2025 @02:39AM (#43748998)
As I understand it, these models are limited on GPU memory far more than GPU compute. You’d be better off with dual 4070s than with a single 4090 unless the 4090 has more RAM than the other two combined.
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