jsherer 1 day ago

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

  • ProllyInfamous 8 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

jdiff 3 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Model choices all seem quite out of date.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.

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?

  • kumarski 19 hours ago

    see comment below from me.

roboror 1 day ago

Identified every component of my system incorrectly. W11.

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

juancn 22 hours 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)".

kumarski 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.

nottorp 22 hours ago

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

harvey9 23 hours ago

Reports android tablet as a 'linux PC'.

haeberli 1 day ago

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

  • nickv 23 hours ago

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

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?)

dmitrygr 23 hours ago

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

nailer 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.

cyanydeez 1 day ago

One word: wrong.

  • nailer 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?

    • haeberli 1 day ago

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