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17 May 2024

Paper summary

Paper summary: Chameleon: Mixed-Modal Early-Fusion Foundation Models

Chameleon is one token-based model that reads and generates images and text in any order, using early fusion, plus a training recipe designed to keep this mixed-modal setup stable.

  • Images are turned into discrete tokens and mixed with text tokens from the very first layer, which is what "early fusion" means.
  • Human judges rated its long-form mixed image-and-text outputs as matching or beating much larger models.

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AI updates

Transformers 4.41: GGUF support, Phi-3, PaliGemma

Transformers v4.41 added Phi-3 (with 128K-context variants), the JetMoE mixture-of-experts model, Google's PaliGemma vision-language model and GGUF loading support.

  • Phi-3-mini comes in 4K and 128K context versions; the release notes call it the first in its class to reach 128K with little quality loss.
  • JetMoE uses mixtures of both attention heads and MLP experts.

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