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?
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.
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.
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)".
I find this to be pretty accurate: https://www.canirun.ai/
Identified every component of my system incorrectly. W11.
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.
Firefox on macOS. site reported M1 and 16GB. Mac is M4 + 24GB
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?)
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.
'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.
Thank you G!
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