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.
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.
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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For what stuff do you want to use them? I don't think they come remotely close to today's commercial models. Maybe for a specific purpose?
hey, thanks for your response.. yeah that's what I meant, the 2b models aren't usable in today's state, but more practical for everyday use if they work out..
I actually meant the 31b models are useful for my purpose. I don't do full-on agentic coding, just interactive chat/prompting. Example, I make good use for making linux shell scripts (as I don't know howto myself). Currently I use qwen3.5-flash via cloud. It's as good as the frontier models back then if not better..
I wanted to use smaller models, but then do more work on the "thinking" process. I didn't come far, because it get so slow with normal hardware and too expensive on dedicated one. Time consuming (I'm also not a programmer) but a fun project, but in the end I just decided to satisfy the privacy angle with protons ai Lumo.
Proton has AI? Damn, that's gotta be bleeding their coffers
They have been working on this. Only 3 months ago it was pretty terrible. Today it's almost on par with chatgpt. A bit worse on rag, slower,.. good enough for normal use.