facebookresearch/chameleon
A mixed-modal early-fusion foundation model from Meta FAIR that handles both text and images with early-fusion architecture.
Not currently ranked — collecting fresh signals.
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Meta Chameleon is a foundation model developed by Meta’s Fundamental AI Research (FAIR) team that natively processes both text and images in an early-fusion manner. The repository provides standalone GPU-based inference code for running model checkpoints, a browser-based viewer for inspecting multimodal inputs and outputs, and evaluation prompts for human assessment.
Frequently asked
- What is facebookresearch/chameleon?
- A mixed-modal early-fusion foundation model from Meta FAIR that handles both text and images with early-fusion architecture.
- Is chameleon open source?
- Yes — facebookresearch/chameleon is an open-source project tracked on heatdrop.
- What language is chameleon written in?
- facebookresearch/chameleon is primarily written in Python.
- How popular is chameleon?
- facebookresearch/chameleon has 2.1k stars on GitHub.
- Where can I find chameleon?
- facebookresearch/chameleon is on GitHub at https://github.com/facebookresearch/chameleon.