Supersonic Labs Releases Julia 1: A 144.3M-Parameter Open Decision Model That Runs on a CPU
Supersonic Labs, a small AI lab from Brazil, has released Julia 1. It is a compact decision model, not a chatbot. You pass it context, a question, and 2 to 20 candidate answers. It picks one and returns a probability for every option. The model has 144.3M parameters and runs on a plain CPU. Is it deployable? Yes. The weights are on Hugging Face under Apache 2.0 and run locally with Python 3.11+ on CPU or a BF16-capable GPU. An ONNX build also runs in the browser via WebGPU. A hosted API is a
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A Brazilian AI lab has released Julia 1, a compact decision model with 144.3 million parameters designed to pick the best option from 2 to 20 candidate answers rather than generate text. The model runs on standard CPUs and is freely available under Apache 2.0 licensing, making it deployable locally via Python or in web browsers. Julia 1 handles three types of decisions through a single interface: choosing between labeled options, scoring items on an ordered scale, and evaluating yes-or-no statements with probability outputs. The model was trained on a modest budget of approximately $104 in cloud GPU costs and achieved competitive or superior performance compared to existing decision models on most benchmark tests, though it performed significantly worse on a 72-label classification task.
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