• I find this to be pretty accurate: https://www.canirun.ai/
  • Identified every component of my system incorrectly. W11.
  • 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)".

  • 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)

    • 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?
  • For some reason it is not able to detect 64GB RAM on my Fedora Linux mini PC. It shows only 8GB.
    • Yeah, similar situation here, it shows 16gb on my 64gb mac
  • Reports android tablet as a 'linux PC'.
  • 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.

  • auto-detect failed to correctly detect 128GB ram vs 32GB ram on MacBook Pro M5
    • Me too. I have the same spec model (M5 Max with 125gb of ram) and it reports as 32gb.
  • 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?)

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

  • One word: wrong.
    • 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?
      • my case, did not detect my Mac's capabilities accurately