Pretty much every LLM you can download already has CUDA support via PyTorch.

However, some of the easier to use frontends don't use GPU acceleration because it's a bit of a pain to configure across a wide range of hardware models and driver versions. IIRC GPT4All does not use GPU acceleration yet (might need outdated; I haven't checked in a while).

If this makes local LLMs more accessible to people who are not familiar with setting up a CUDA development environment or Python venvs, that's great news.

Idk I kinda like the idea of a madman living in my graphics card. I want to be able to spin them up and have them tell me lies that sound plausible and hallucinate things.

Gpu is cheaper (somehow)

Your shrink renders video frames?

You can already do this. There are plenty of vids that show you how and it's pretty easy to get started. Expanding functionality to get it to act and respond how you want is a bit more challenging. But definitely doable.

There's also GPT4All that I'm aware of.

I use https://huggingface.co/chat , you can also easily host open source models on your local machine

Oh nooo, what an unfortunate turn of events. Guess that just means your GPU is too weak and old. How about upgrading to 40 series?

-- Nvidia, probably

On my 4090, the performance is much better than ChatGPT4. The output is way worse though.

2xxx too. It's only available for 3xxx and up.

Just use Ollama with Ollama WebUI

The whole point of the project was to use the Tensor cores. There are a ton of other implementations for regular GPU acceleration.

Here is an alternative Piped link(s):

NVIDIA song

Piped is a privacy-respecting open-source alternative frontend to YouTube.

I'm open-source; check me out at GitHub.

I had almost forgotten that existed

Thanks