Pixtral 12B - Mistral vs LlamaIndex

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.

LlamaIndex presents a seamless and powerful data framework designed for the integration and utilization of custom data sources within large language models (LLMs). This innovative framework makes it incredibly convenient to connect various forms of data, including APIs, PDFs, documents, and SQL databases, ensuring they are readily accessible for LLM applications. Whether you're a developer looking to get started easily on GitHub or an enterprise searching for a managed service, LlamaIndex's flexibility caters to your needs. Highlighting essential features like data ingestion, indexing, and a versatile query interface, LlamaIndex empowers you to create robust end-user applications, from document Q&A systems to chatbots, knowledge agents, and analytics tools. If your goal is to bring the dynamic capabilities of LLMs to your data, LlamaIndex is the tool that bridges the gap with efficiency and ease.