When I first got into local LLMs nearly 3 years ago, in mid 2023, the frontier closed models were ofcourse impressively capable.
I then tried my hand on running 7b size local models, primarily one called Zephyr-7b (what happened to these models?? Dolphin anyone??), on my gaming PC with 8GB AMD RX580 GPU. Fair to say it was just a curiosity exercise (in terms of model performance).
Fast forward to this month, I revisit local LLM. (Although I no longer have the gaming PC, cost-of-living-crisis anyone 😫 )
And, the 31b size models look very sufficient. #Qwen has taken the helm in this order. Which is still very expensive to setup locally, although within grasp.
I’m rooting for the edge-computing models now - the ~2b size models. Due to their low footprint, they are practical to run in a SBC 24/7 at home for many people.
But these edge models are the ‘curiosity category’ now.
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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.
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I didn;t try any 7b ones lately, they may be better fit for 16gb I think. I was able to try the 2b ones as I mentioned (on cpu). they are subpar. like mentioned the usable ones were 31b, I think you need atleast 24gb vram for most models though. maybe someone else can suggest better.
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you can give “unloading some layers to RAM” a try though… that way you can get your hands on the “usable” 31b models. browse around to find some good 31b ones… GL
Do you have 24 GB?
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That’s your issue.
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For small model bonsai series seems getting the spotlight. Natively trained on1bit and ternary 1.58bit, 8B runs on ~1GB memory. I’m curios on local models but haven’t tried because of lack of gaming rig but it seems work enough for regular pc
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funny I tried the 8B bonsai https://huggingface.co/prism-ml/Bonsai-8B-gguf when loaded it takes ~7GB RAM!! When prompting it stalls my llama.cpp container (I’m running on a weak 4th gen i5)
Interesting thanks!



