💭 About

I recently felt on this news:

Mistral AI makes its first large language model free for everyone | TechCrunchMistral AI makes its first large language model free for everyone | TechCrunch

Mistral, a French AI startup that raised a huge seed round in June, has debuted its first model, totally free to download and use.

techcrunch.com

The two key points that kept my attention were:

the model was released under the Apache 2.0 license,...

and

Mistral 7B is a further refinement of other “small” large language models like Llama 2, offering similar capabilities (according to some standard benchmarks) at a considerably smaller compute cost

Then a few weeks later the release of the "GenAI Stack":

👉 So I started to look around... and find the benefits I could take out of these tools.

💭 Then & now

Actually my only two options were:

• Use my OpenAI account and use gpt-3.5-turbo flavours or gpt-4 to achieve custom projects (and share my data with OpenAI)
• Use Kaggle GPUs resources & play with resources for free... still with the need to share (at least temporarly my resources) with Kaggle

🎯 What we'll achieve

With these two announcements, I wondered what I could achieve locally on my own hardware:

👉 This blog post is dedicated to the unboxing of this stack and the amazing perspectives it unleashes... and why Open Source matters.

🍿 Demo

💡 Load any custom model into ollama

Below a short an easy trick on how to install a finetuned custom model into ollama : jackalope-7b (a fine tuned version of Mistral-7B).

🔖 Bookmarks

• 🦙 ollama.ai
• 🌬️ mistral.ai
• 📢 Mistral 7B announcement

More about GenAI stack