I built a page that tells you what AI model your laptop can run

kumarski

and no I'm not a software develpoer - just smacked it together with minimax for personal needs. Thought it was nifty so shared. Would love to see a real CS person's version of this and/or best prompt to build something like this accurately and keep it up to date as models advance and SOTA shifts.

cyanydeez

One word: wrong.

nailer

Great idea! You're 95% of the way there and the rest is a couple of UI tweaks. 1. I thought the table showing a bunch of models after my laptop specs would be models I could run on my laptop. Model Tier Example Models Params RAM Needed Your Status Top SOTA GPT-4o, Claude 3.5 Sonnet, Gemini Ultra 1T+ Datacenter — Large Models Llama 3 70B, Mistral Large, Command R+ 70B 64 GB Usable Mid Models Llama 3 8B, Mistral 7B, Phi-3 Medium 7-13B 16 GB Usable Small Models Phi-3 Mini, Llama 3 2B, Gemma 2B 1-3B 4 GB Your Tier 'Your tier' is too subtle. I would make 'Your tier' highlight the ENTIRE row in some bright color to make it more obvious, and maybe fade the other rows slightly. 2. I don't know what 'usable' means. How can these models be status:usable if they are not 'my tier'? I deduce 'usable' doesn't mean usable on my laptop but I don't know what 'usable' does mean. 3. Give me links to set up the best model I can.

spprashant

For some reason it is not able to detect 64GB RAM on my Fedora Linux mini PC. It shows only 8GB.

not_your_vase

That's not very accurate. It sees 8 GB RAM instead of 64. And it detects GTX 9 GPU, though I have an RTX30 one. (Edit: now it came to my mind that Firefox has fingerprinting protection by default. But even after whitelisting this website, the result is the same)

jsherer

I find this to be pretty accurate: https://www.canirun.ai/

roboror

Identified every component of my system incorrectly. W11.

jrm4

Interestingly wrong; probably has to do with the fingerprinting and whatnot. I do appreciate that the "canirun" one 1) was also wrong 2) but let me pick my real card from the dropdown with results that seemed much more accurate. Genuine question - is there literally any factor besides RAM and GPU (with VRAM info?)

haeberli

auto-detect failed to correctly detect 128GB ram vs 32GB ram on MacBook Pro M5

harvey9

Reports android tablet as a 'linux PC'.

dmitrygr

Firefox on macOS. site reported M1 and 16GB. Mac is M4 + 24GB

juancn

It's too conservative, on my Air M4 I run gemma-4-12B-it-qat-UD-Q4_K_XL fine with llama.cpp The app states "Small Models (1-3B)".

nottorp

What about my desktop? Will it detect what models a desktop can run?

efilife

I recommend llmfit. It shows you exactly what models you can run and at what speeds https://github.com/AlexsJones/llmfit