Cua open-sources a 706,048-parameter model for filling forms
CUA-S1-FORMS makes one-pass choices among predefined actions, then hands the plan to Cua Driver for execution.
By Ryan Merket · Published
Primary source: Cua on X
Why it matters
Cua is testing whether small, task-specific models can remove expensive LLM calls from repetitive agent workflows while keeping actions constrained by ordinary code.
Francesco Bonacci (@francedot), the founder of Cua, released a small open-source model on September 18th that plans how an AI agent should fill out forms without repeatedly calling a large language model.
CUA-S1-FORMS is the first release in what the San Francisco-based Cua calls its CUA-S1 family of specialized "System One" models. The model has 706,048 trainable parameters and a 2.8 MB checkpoint, making it tiny by contemporary AI standards. Cua published the model, training code and dataset under the MIT license.…
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