Mark Zuckerberg open sources 3 new LLMs

The issue is that "open source" is a term for computer software. And it doesn't really apply to other things. But people use it regardless. With software, it means you share the recipe, the program code. With machine learning models, there isn't really such a thing. It's a pile of numbers (the weights) that are the important thing. They get shared in this case. But you can't reproduce them. For that you'd need the dataset that went in (which Meta doesn't share because lots of that is copyrighted and they have several court cases running because they just stole the texts and said it's alright.) But what open source allows (amongst other things) is to build upon things and modify them. And that can be done with the models to a certain degree. They can be fine-tuned and incorporated in custom projects. In the end they (Meta) want to frame things a certain way and be the good guys. But the term still doesn't really mean what it's supposed to mean.

There are other models with other licenses. There are Apache-licensed models available. There are models which do or don't allow for commercial usage. We also have some with the datasets and everything available. But at least those aren't state of the art anymore.

https://opensource.org/blog/metas-llama-2-license-is-not-open-source

The actual licence is here: https://ai.meta.com/llama/license/

iv. Your use of the Llama Materials must comply with applicable laws and regulations (including trade compliance laws and regulations) and adhere to the Acceptable Use Policy for the Llama Materials (available at https://ai.meta.com/llama/use-policy), which is hereby incorporated by reference into this Agreement.

v. You will not use the Llama Materials or any output or results of the Llama Materials to improve any other large language model (excluding Llama 2 or derivative works thereof).

2. Additional Commercial Terms. If, on the Llama 2 version release date, the monthly active users of the products or services made available by or for Licensee, or Licensee’s affiliates, is greater than 700 million monthly active users in the preceding calendar month, you must request a license from Meta, which Meta may grant to you in its sole discretion, and you are not authorized to exercise any of the rights under this Agreement unless or until Meta otherwise expressly grants you such rights.

I mean, from what I can tell we still don't, at least as home users. The full size model won't fit on any commercial hardware. Even with a top of the line 4090 GPU you're limited to the 8B model if you want to run it offline, and that still charts lower than the last-gen 70B model.

Still cool to have it be available, though.

What is the parameter count for the famous proprietary models like gpt 4o and claude 3.5 sonnet?