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

https://localsotabenchmark.engineersf.dev/

by kumarski • 1 day ago

35 25 1 day ago

localsotabenchmark.engineersf.dev

kumarski4• 1 day ago

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• 1 day ago

One word: wrong.

nailer2• 1 day ago

This isn't constructive feedback. In my case it detected my Mac's capablities accurately and gave me models to use. What was wrong about it?

haeberli2• 1 day ago

my case, did not detect my Mac's capabilities accurately

nailer2• 1 day ago

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.

kumarski4• 1 day ago

Thank you G!

spprashant• 1 day ago

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

majormunky• 1 day ago

Yeah, similar situation here, it shows 16gb on my 64gb mac

not_your_vase• 1 day ago

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)

embedding-shape• 1 day ago

I get "NVIDIA GeForce 8800" (?) in Firefox, and "ANGLE (NVIDIA Corpor" [sic] in Chromium/Chrome, the GPU is a RTX Pro 6000. I'm guessing if it doesn't have exact hit it basically picks at the top/bottom of the list?

kumarski4• 23 hours ago

see comment below from me.

jsherer• 1 day ago

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

ms7892• 1 day ago

Wow

ProllyInfamous• 13 hours ago

Be careful visiting this website: it is very dangerous to your wallet.

For example: just last month, it made me purchase a 5070Ti...

#GPUsAnonymous #Club1080Ti

kumarski4• 17 minutes ago

Thank you for this. my version was ghettofabulous and in the right direction but it appears the outputs are wrong.

roboror• 1 day ago

Identified every component of my system incorrectly. W11.

jrm4• 1 day ago

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?)

haeberli2• 1 day ago

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

nickv• 1 day ago

Me too. I have the same spec model (M5 Max with 125gb of ram) and it reports as 32gb.

harvey9• 1 day ago

Reports android tablet as a 'linux PC'.

dmitrygr• 1 day ago

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

juancn• 1 day ago

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• 1 day ago

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

efilife• 1 day ago

I recommend llmfit. It shows you exactly what models you can run and at what speeds

https://github.com/AlexsJones/llmfit

jdiff• 7 hours ago

Be nice if I could correct the specs when detected incorrectly, or check the specs of a different machine without needing to physically pull this up on each machine.

Model choices all seem quite out of date. Phi-3, GPT-4o? Claude 3.5? And I thought Gemini Ultra was a subscription plan, not a model.

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

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