Welcome to the exciting world of AI advancements! On April 13, we introduced the highly anticipated model, Mistral-22b-v.02, two days after the release of its predecessor. This innovative model, crafted by Nicolas Mejia-Petit, represents a significant evolution in our approach to machine learning.

What is Mistral-22b-v.02?

This isn’t just another machine learning model; Mistral-22b-v.02 is a 22B parameter dense model. Unlike its predecessor, which utilized a mixture of experts (MOE), this model has transformed into a single, dense configuration. Think of it as gathering a group of chefs (experts) who each bring their special ingredient (knowledge) to create a delicious and unified dish (the model).

Notably, this model has been trained on 8x more data than version 0.1, enabling better learning capabilities and more comprehensive outputs.

Capabilities of Mistral-22b-v.02

• Math Proficiency: Although it wasn’t primarily trained on math problems, Mistral-22b-v.02 shows remarkable mathematical skills.
• Better Coding Skills: This version excels in coding tasks. For instance, it successfully completed a simple challenge: creating an HTML site with a button that changes the background color.
• Enhanced Cohesion: The model provides more cohesive and fitting responses to prompts, improving overall interaction quality.
• Highly Uncensored Responses: The model has been realigned to answer freely, so approach with caution.
• Multi-Turn Conversations: Trained primarily on datasets centered around multi-turn dialogues, it diversely covers several topics.
• JSON Mode: Early tests suggest its capability in responding and utilizing JSON formats.
• Agent Abilities: With training on tasks for physical interaction and online navigation, this model showcases real-world tasking capabilities.
• 32k Sequence Length: This feature allows it to handle extensive inputs effectively.

Experimental Nature

Mistral-22b-v.02 is still a work in progress (WIP). We have already commenced training for version 0.3 using a different methodology aimed at broadening the model’s internal knowledge. Initial tests indicate that version 2 significantly improves upon version 1.

How to Use Mistral-22b-v.02

To make optimal use of this model, a specific chat format is required:

### System: You are a helpful assistant.
### Human: Give me the best chili recipe you can
### Assistant: Here is the best chili recipe...

Troubleshooting and Future Updates

If you face challenges utilizing Mistral-22b-v.02, consider the following troubleshooting tips:

• Ensure you are using the correct Guanaco prompt format; incorrect formatting can yield suboptimal results.
• If responses seem irrelevant, double-check your input prompts for clarity and specificity.
• Keep updated with new releases and methodologies as frequent model enhancements are expected.

For more insights, updates, or to collaborate on AI development projects, stay connected with fxis.ai.

Looking Ahead: Mistral-22b-v.3

We’re excited about the upcoming version 0.3, which is currently being trained. This new iteration will feature a different base model in hopes of refining our results further. Expect a release within the next ~24 hours! 🌟

At fxis.ai, we believe that such advancements are crucial for the future of AI, as they enable more comprehensive and effective solutions. Our team is continually exploring new methodologies to push the envelope in artificial intelligence, ensuring that our clients benefit from the latest technological innovations.

Final Thoughts

The landscape of AI is continuously evolving, and with the Mistral-22b-v.02 model, we are taking significant strides forward. We look forward to your feedback and cannot wait to reveal what version 0.3 has in store!