Hey everyone!
I think it’s time we had a fosai model on HuggingFace. I’d like to start collecting ideas, strategies, and approaches for fine-tuning our first community model.
I’m open to hearing what you think we should do. We will release more in time. This is just the beginning.
For now, I say let’s pick a current open-source foundation model and fine-tune on datasets we all curate together, built around a loose concept of using a fine-tuned LLM to teach ourselves more bleeding-edge technologies (and how to build them using technical tools and concepts).
FOSAI is a non-profit movement. You own everything fosai as much as I do. It is synonymous with the concept of FOSS. It is for everyone to champion as they see fit. Anyone is welcome to join me in training or tuning using the workflows I share along the way.
You are encouraged to leverage fosai tools to create and express ideas of your own. All fosai models will be licensed under Apache 2.0. I am open to hearing thoughts if other licenses should be considered.
We’re Building FOSAI Models! 🤖
Our goal is to fine-tune a foundation model and open-source it. We’re going to start with one foundation family with smaller parameters (7B/13B) then work our way up to 40B (or other sizes), moving to the next as we vote on what foundation we should fine-tune as a community.
Fine-Tuned Use Case ☑️
Technical
FOSAI Model Idea #1- Research & Development AssistantFOSAI Model Idea #2- Technical Project ManagerFOSAI Model Idea #3- Personal Software DeveloperFOSAI Model Idea #4- Life Coach / Teacher / MentorFOSAI Model Idea #5- FOSAI OS / System Assistant
Non-Technical
FOSAI Model Idea #6- Dungeon Master / Lore MasterFOSAI Model Idea #7- Sentient Robot CharacterFOSAI Model Idea #8- Friendly Companion CharacterFOSAI Model Idea #9- General RPG or Sci-Fi CharacterFOSAI Model Idea #10- Philosophical Character
OR
FOSAI Foundation Model ☑️
Foundation Model ☑️
(Pick one)
MistralLlama 2Falcon..(Your Submission Here)
Model Name & Convention
snake_case_exampleCamelCaseExamplekebab-case-example
0.) FOSAI ☑️
fosai-7Bfosai-13B
1.) FOSAI Assistant ☑️
fosai-assitant-7Bfosai-assistant-13B
2.) FOSAI Atlas ☑️
fosai-atlas-7Bfosai-atlas-13B
3.) FOSAI Navigator ☑️
fosai-navigator-7Bfosai-navigator-13B
4.) ?
Datasets ☑️
TBD!What datasets do you think we should fine-tune on?
Alignment ☑️
To embody open-source mentalities, I think it’s worth releasing both censored and uncensored versions of our models. This is something I will consider as we train and fine-tune over time. Like any tool, you are responsible for your usage and how you choose to incorporate into your business and/or personal life.
License ☑️
All fosai models will be licensed under Apache 2.0. I am open to hearing thoughts if other licenses should be considered.
This will be a fine-tuned model, so it may inherit some of the permissions and license agreements as its foundation model and have other implications depending on your country or local law.
Generally speaking, you can expect that all fosai models will be commercially viable through the selection process of its foundation family and the post-processing steps that are fine-tuning the model.
Costs
I will be personally covering all training and deployment costs. This may change if I choose to put together some sort of patronage, but for now - don’t worry about this. I will be using something like RunPod or some other custom deployed solution for training.
Cast Your Votes! ☑️
Share Your Ideas & Vote in the Comments Below! ✅
What do you want to see out of this first community model? What are some of the fine-tuning ideas you’ve wanted to try, but never had the time or chance to test? Let me know in the comments and we’ll brainstorm together.
I am in no rush to get this out, so I will leave this up for everyone to see and interact with until I feel we have a solid direction we can all agree upon. There will be plenty of more opportunities to create, curate, and customize more fosai models I plan to release in the future.
Update [10/25/23]: I may have found a fine-tuning workflow for both Llama (2) and Mistral, but I haven’t had any time to validate the first test run. Once I have a chance to do this and test some inference I’ll be updating this post with the workflow, the models, and some sample output with example datasets. Unfortunately, I have ran out of personal funds to allocate to training, so it is unsure when I will have a chance to make another attempt at this if this first attempt doesn’t pan out. Will keep everyone posted as we approach the end of 2023.
It seems like we’ll be starting with Mistral - which means the model will be completely open-source under the Apache 2.0 License.
All fine-tunings I release under fosai would be licensed under the same Apache 2.0 agreement, giving you and everyone else complete permissions to modify, download, distribute, and deploy this model as you see fit. It would make the model commercially viable out-of-the-box without any restrictions set by a corporation or entity.
I’m also not a copyright lawyer, so someone correct me If I’m wrong here but if I fine-tune Mistral (which I probably will) and also release the derivative under the Apache 2.0 license - you own the version you choose to download completely. You don’t need to adhere to a usage policy. You are still responsible for what you end up doing with your model (within all local applicable laws), but you also don’t have to worry about Meta (or some other entity) revoking or changing their policy/usage/terms at some point in the future. You are free to do whatever you want with an Apache licensed model.
At the end of the day, Llama 2 is owned and distributed by Meta AI, which has some of those restrictions I mentioned, even though it is somewhat open-source. Here is the license. Some notes from it that might be worth mentioning: