Dohnuts D'oh! But dohnuts. Dohnuts builds small multimodal models for direct decisions. Give the model a message, a document, or an image, and ask it to choose, judge, or score. It returns probabilities in a single forward pass, with multiple questions sharing the same input. That is our take on System 1. The Python toolkit covers training, inference, evaluation, and agent integration. The 0.8B model runs locally on a consumer GPU. Model · Model card · Documentation · Benchmarks One message, several decisions Route a support request and check whether it asks for a refund in the same call:
| Stars | 36 |
| Forks | 5 |
| Language | Python |
| Category | AI Tool |
| License | Apache-2.0 |
| Quality Score | 61.9869943400849/100 |
| Last Updated | 2026-10-06 |
| Created | 2026-09-21 |
| Platforms | python |
| Est. Tokens | ~14k |
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dohnuts is Dohnuts builds small multimodal models for direct decisions. -> System One model. It is categorized as a AI Tool with 36 GitHub stars.
dohnuts is primarily written in Python. It covers topics such as decision-model, jev, laya.
You can find installation instructions and usage details in the dohnuts GitHub repository at github.com/PsiACE/dohnuts. The project has 36 stars and 5 forks, indicating an active community.
dohnuts is released under the Apache-2.0 license, making it free to use and modify according to the license terms.