Fuyu Models by Adept AI
About
Developed by Adept AI, the Fuyu large language model (LLM) family is distinct for its innovative approach in handling multimodal tasks, specifically catering to digital agents. It boasts a simplified architecture, employing a decoder-only transformer without needing a specific image encoder. Instead, image patches are directly fed as linear projections into the transformer's initial layer, which allows for flexible processing of various image resolutions. This configuration not only streamlines training but also accelerates inference, providing rapid response times under 100 milliseconds for handling large images. Although the Fuyu models are primarily optimized for digital agent applications, they demonstrate robust performance on standard image understanding benchmarks. One of the models in this family, the Fuyu-8B, is publicly available under a CC-BY-NC license, offering opportunities for research and development with the caveat that it may require fine-tuning to meet specific application needs.
Current Variants
Use-when guidance is derived from seed capabilities, context, release, and replacement fields.
| Model | Use when | Released | Signals | Status |
|---|---|---|---|---|
| Fuyu-Heavy | Use when provider availability and model metadata match the workload. | 2024-01 | — | Current |
Release Timeline
1 release groupSpecifications(2 models)
| Model | Released | Parameters |
|---|---|---|
| Fuyu-Heavy | 2024-01 | — |
Available From(1 provider)
Frequently Asked Questions
- What is Fuyu used for?
- Fuyu is used for coding and agent workflows. The family description and listed model capabilities point to those workloads as the best fit.
- How does Fuyu compare to Persimmon?
- Fuyu by Adept AI is strongest where you need coding, while Persimmon by Adept AI is the closest related family to check for coding. Fuyu has 2 listed variants, so compare the specs and pricing tables before choosing a production model.
- Which Fuyu model should I use?
- If price is the main constraint, use the pricing table first because Fuyu does not have complete provider pricing in the local data. For the most capable/latest local choice, evaluate Fuyu-Heavy.
