[deanc]

Yes. But llmfit is far more useful as it detects your system resources.

[Someone1234]

I feel like they both solve different issues well:

- If you already HAVE a computer and are looking for models: LLMFit

- If you are looking to BUY a computer/hardware, and want to compare/contrast for local LLM usage: This

You cannot exactly run LLMFit on hardware you don't have.

[shrinks99]

Yes, but you can get LLMFit to recommend hardware requirements with `llmfit plan --context <TOKENS> <MODEL>`.

[dgrin91]

Honestly I was surprised about this. It accurately got my GPU and specs without asking for any permissions. I didnt realize I was exposing this info.

[johnisgood]

Why were you surprised?

You can check out here how it does that: https://github.com/AlexsJones/llmfit/blob/main/llmfit-core/s...

To detect NVIDIA GPUs, for example: https://github.com/AlexsJones/llmfit/blob/main/llmfit-core/s...

In this case it just runs the command "nvidia-smi".

Note: llmfit is not web-based.

[spudlyo]

I run LibreWolf, which is configured to ask me before a site can use WebGL, which is commonly used for fingerprinting. I got the popup on this site, so I assume that's how they're doing it.

[dekhn]

How could it not? That information is always available to userspace.

[bityard]

"Available to userspace" is a much different thing than "available to every website that wants it, even in private mode".

I too was a little surprised by this. My browser (Vivladi) makes a big deal about how privacy-conscious they are, but apparently browser fingerprinting is not on their radar.

[dekhn]

We switched to talking about llmfit in this subthread, it runs as native code.

[swiftcoder]

It's pretty hard to avoid GPU fingerprinting if you have webgl/webgpu enabled

[rithdmc]

Do you mean the OPs website? Mine's way off.

> Estimates based on browser APIs. Actual specs may vary