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Supersonic Labs releases Julia-1, a 144.3M-parameter decision model with a 550.5 MiB checkpoint
Built on mmBERT-small, the Apache-2.0-licensed classifier takes a state, a question and up to 20 options, and returns one of them.
Check our sources · 3 facts from 1 sourceSupersonic Labs released Julia-1, a 144.3-million-parameter open-weights model for classification and binary judgments rather than text generation.
Built on JHU CLSPs mmBERT-small, it accepts a context, a question, and 2 to 20 candidate answers, and its FP32 weights occupy 550.5 MiB. The model artifacts are licensed under Apache 2.0, and the checkpoint evaluation, dated September 24, 2026, is the first release in what the company calls the Julia family of decision models.
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Check our sources
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1 SupersonicLabs/Julia-1
Open the source archived copy-
Julia-1 has 144.3 million parameters and is built on JHU CLSPs mmBERT-small.
citeAt 144.3M parameters, it turns a state, a question, and possible answers into one clear decision.
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The model weighs about 550.5 MiB and is licensed under Apache 2.0.
citeDownload the complete repository, including its 550.5 MiB checkpoint, then install its Python package
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The model accepts a state, a question, and 2 to 20 candidate options to produce a decision.
citestate + question + 2–20 options → one selected option
Every sentence above is checked against this source. Each fact has its own address you can cite.
Source 1 · Hugging Face (Supersonic Labs model card) · 24 Sep 2026
SupersonicLabs/Julia-1
Julia-1 has 144.3 million parameters and is built on JHU CLSPs mmBERT-small.
At 144.3M parameters, it turns a state, a question, and possible answers into one clear decision.
The model weighs about 550.5 MiB and is licensed under Apache 2.0.
Download the complete repository, including its 550.5 MiB checkpoint, then install its Python package
The model accepts a state, a question, and 2 to 20 candidate options to produce a decision.
state + question + 2–20 options → one selected option
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