Meta Chameleon 7B and 34B Models Released

In the video ‘Meta Chameleon 7B and 34B Dropped’ by Fahd Mirza, the presenter introduces Meta’s newly released Chameleon models, which include the 7 billion and 34 billion parameter versions. These models mark a significant advancement in Transformer models, offering a unified architecture for encoding and decoding both text and images. Unlike traditional late fusion models that rely on diffusion-based learning, Meta Chameleon uses tokenization for text and images, enabling a more streamlined and scalable design. The models are capable of generating creative captions for images and combining text prompts with images to create new scenes. Meta has released these models under a research-only license, emphasizing responsible development and usage. The video also highlights Meta’s innovative approach to building better and faster language models through multi-token prediction, which predicts multiple future words at once, improving efficiency and speed. Fahd Mirza expresses his eagerness to gain access to these models and plans to demonstrate their local installation once he receives access.