LocalLLaMA
Welcome to LocalLLaMA! Here we discuss running and developing machine learning models at home. Lets explore cutting edge open source neural network technology together.
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Rules:
Rule 1 - No harassment or personal character attacks of community members. I.E no namecalling, no generalizing entire groups of people that make up our community, no baseless personal insults.
Rule 2 - No comparing artificial intelligence/machine learning models to cryptocurrency. I.E no comparing the usefulness of models to that of NFTs, no comparing the resource usage required to train a model is anything close to maintaining a blockchain/ mining for crypto, no implying its just a fad/bubble that will leave people with nothing of value when it burst.
Rule 3 - No comparing artificial intelligence/machine learning to simple text prediction algorithms. I.E statements such as "llms are basically just simple text predictions like what your phone keyboard autocorrect uses, and they're still using the same algorithms since <over 10 years ago>.
Rule 4 - No implying that models are devoid of purpose or potential for enriching peoples lives.
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I'm running Gufo on a Strix Halo PC with 128GB shared memory.
The quant is unsloth's UD-Q4_K_XL. Speed is really good with this configuration (1600 t/s prefill and 100 t/s decode). I wanted to try some higher quants as well but I'm waiting for Qwen 4 for now to do more testing.
You should be able to get QFN running quite well on your system as well when offloading unused experts to RAM.
Amazing, will give that a shot. Thanks!
I think Gufo is optimized only for the Strix Halo but llama.cpp should get you running with expert offloading no problem.
i reccomend strata instead