Pixtral 12B - Mistral vs Terracotta

French AI startup Mistral has recently launched its first multimodal model, Pixtral 12B, which processes both images and text. Built on Mistral's Nemo 12B text model, Pixtral 12B boasts 12 billion parameters (24GB in size), enabling it to perform tasks like captioning images and counting objects within photos.

The model is available for download on GitHub and Hugging Face, under the Apache 2.0 license, allowing for unrestricted use, including fine-tuning and commercial applications.

Pixtral 12B is comparable to other multimodal models such as Anthropic’s Claude family and OpenAI’s GPT-4, capable of answering questions based on images using URLs or base64-encoded formats. While no web demos were available at launch, Mistral plans to roll out testing through its chatbot and API platforms soon.

This release follows the company's significant $645 million funding round, highlighting Mistral’s ambition to compete with major AI players by focusing on open models and corporate consulting services.

Terracotta is a cutting-edge platform designed to enhance the workflow for developers and researchers working with large language models (LLMs). This intuitive and user-friendly platform allows you to manage, iterate, and evaluate your fine-tuned models with ease. With Terracotta, you can securely upload data, fine-tune models for various tasks like classification and text generation, and create comprehensive evaluations to compare model performance using both qualitative and quantitative metrics. Our tool supports connections to major providers like OpenAI and Cohere, ensuring you have access to a broad range of LLM capabilities. Terracotta is the creation of Beri Kohen and Lucas Pauker, AI enthusiasts and Stanford graduates, who are dedicated to advancing LLM development. Join our email list to stay informed on the latest updates and features that Terracotta has to offer.