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

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)

Identified every component of my system incorrectly. W11.

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.

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?)

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

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)".

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Model choices all seem quite out of date.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.

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.

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

https://github.com/AlexsJones/llmfit

Ive got a tack server collecting dust.

How do I plug in a specific hardware?

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

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

Reports android tablet as a 'linux PC'.

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

One word: wrong.