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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.
I was going to do a reinstall; it has been a few years of inplace upgrades and a lot of extra cruft that inevitably gets built up. I was asking mainly to see if there was a clear recommendation for which system is best for experimenting with local LLM's etc...Looks like there isn't any specific advantages to any system so I'll probably just stick with Mint, likely wait until Mint 27 is released before doing an upgrade.
Ah, I was worried that there was some local model distro meta that I wasn't aware of. I have no knowledge of AMD but according to DeepSeek we seem to have somewhat comparable hardware for local LLM. I just noticed the 64GB RAM and figured you'd be on a whole different level, but apparently that setup is in the mid-high tier, spanning from 7-32B? What kind of models have you tried so far, and did any stand out? I've only been able to get a 13B Qwen3.5 model as most myself (which was way too slow to be worth it). From what I have picked up >24B is where you get a generally good model that goes beyond a niche purpose.
It has been a while, but last model I ran was gemma4:e4b 9.6GB. It ran very quickly; also have run deepseek-coder-v2:16b 8.9GB, again very fast.....
I am looking to get back into it once I have a bit of time on my hands; I'll look into the state of the art models again and see what I can run.