having contributors sign a CLA is always very sus and I think this is indicative of the project owners having some plans of monetizing it even though it is currently under AGPLv3. Their core values of no dark patterns and whatnot seem like a sales argument rather than an actual motivation/principle, especially when you see that they are a bootstrapped startup.
Thanks for pointing that out—looks like they’re working on a Server Suite. I’d guess that they try to monetize that but leave the personal desktop version free
Yeah it's easy to fall into a negativity bias instead of doing a risk benefit analysis , the company could be investing money and resources that could be missing from open source projects, especially professional work by non programmers (e.g. UX researchers) which is something that open source projects usually miss.
I’m starting to come around to big corps running their custom enhanced versions while feeding their open source counterparts with the last gen weights. As much as I love open source, people need to eat.
As was mentioned, if they start doing something egregious, they’re not the only game in town, and can also be forked. Love it or hate it, a big corp sponsor makes Joe six-pack feel a little more secure in using a product.
GPLv3 allows you to sell your work for money, but you still have to hand over the code your customers purchased. You buy our product, you own it, as is. Do whatever you like with it, but if you sell a derivative, you better cough up the new code to whoever bought it.
Depends. Are either of those companies bootstrapping a for-profit startup and trying to dupe people into contributing free labor prior to their inevitable rug pull/switcheroo?
Do explain how you dupe people into contributing free labor and do a switcheroo with an open source project. All the app does is just provide a nice UI for running models.
Ok I tried it out and as of now Jan has a better UI/UX imo (easier to install and use), but Open WebUI seems to have more features like document/image processing.
They all work well enough on my weak machine with an RX580.
Buuuuuuuuuut, RWKY had some kind of optimization thing going that makes it two or three times faster to generate output. The problem is that you have to be more aware of the order of your input. It has a hard time going backwards to a previous sentence, for example.
So you'd want to say things like "In the next sentence, identify the subject." and not "Identify the subject in the previous text."
@jeena And absolutely nothing can go wrong by downloading random files from the internet based on contemporary hype, making them executable and starting them...
Very. Just have a good enough internet connection and hardware to download and run models. Interrupted downloads must start over. 4-41 GB. Otherwise find the source, use wget, and download to the correct folder.
Is there a model you prefer? I've been throwing the exact same question to different models and they seem to all give a very similar answer.
Also, how is it getting certain information if it's all offline? For example, I asked it to recommend some bike products, and gave very specific brands and models.
So what exactly is this? Open-source ChatGPT-alternatives have existed before and alongside ChatGPT the entire time, in the form of downloading oogabooga or a different interface and downloading an open source model from Huggingface. They aren't competitive because users don't have terabytes of VRAM or AI accelerators.
Edit: spelling. The Facebook LLM is pretty decent and has a huge amount of tokens. You can install it locally and feed your own data into the model so it will become tailor made.
It's basically a UI for downloading and running models. You don't need terabytes of VRAM to run most models though. A decent GPU and 16 gigs of RAM or so works fine.