Julia 1: A 144M-Parameter Decision Model Trained for $104
A small AI lab in Brazil just released a model with an unusual claim. Not "beats GPT." Not "agentic superintelligence." The claim is this: a 144.3-million-parameter model that picks the right answer from a list you give it, runs on a CPU, on a tablet, on a 12-year-old laptop class of chip, and the entire training cost about R$540. That is US$104.08. The model is Julia 1, from Supersonic Labs. It…
Brazil's Supersonic Labs has released a decision model named Julia 1, with an impressive claim. It's a 144.3-million-parameter model that operates on a CPU, a tablet, or a 12-year-old laptop-class chip, and the entire training cost is a mere US$104.08. Developed by the small AI lab, Julia 1 is designed to pick the correct answer from a list of options, making it suitable for tasks such as classifying support tickets or determining the urgency of an issue.
Unlike traditional AI pipelines that generate text, Julia 1 focuses on providing labels for specific questions. It can handle three types of questions: choosing one option from a closed list, placing an input on an ordered scale, or returning the probability that a statement is true. This approach eliminates the need for parsing answers, reducing the likelihood of producing malformed responses.
The model was trained using mmBERT-small, a multilingual encoder from Johns Hopkins CLSP, and then adapted to a decision-making task. The training cost was a relatively low R$540, or US$104.08, thanks to utilizing existing infrastructure and avoiding expensive GPU resources.
Julia 1 has shown promising results in various benchmarks, including typed decisions, AG News, and emotion classification. However, it struggles with longer lists of similar categories and lacks external knowledge or multi-step reasoning capabilities. The model's impressive performance comes at a low cost, making it an attractive option for businesses looking to implement narrow AI solutions on a budget.
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