SupersonicLabs/Julia-1
text-classification model by SupersonicLabs
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From the publisher
Model card & documentation
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Julia 1 From context to decisions. Julia 1 is the first model in the Julia family and the first released test of our training system. At 144.3M parameters, it turns a state, a question, and possible answers into one clear decision. The same interface handles classification, routing, ordered scores, and Boolean decisions. Measured on 2026-09-24 with H200 BF16 inference and strict encoding. These are results for the checkpoint in this repository. Typed accuracy: Choice 71.33% (428/600), Noul 80.67% (484/600), Score 68.88% (551/800). MASSIVE measures 18 scenario labels across 52 locales with 2,974 examples per locale. It does not measure intent classification or slot filling. The all-locale value is macro accuracy. Protocol: typed-decisions supplies the 400 test cases; classification pilots follow the pinned Jev benchmark protocol using BTZSC. Jev numbers are supplied comparison references, not a new Jev run. Classification pilots cover 100 examples per dataset. Banking uses a 72-label pilot…
Read the full model card ↗ · Preview checked 2026-11-10T18:56:37.745Z
Inside the original model card — Document outline
- Evaluation
- Where Julia is accurate — and where it can miss
- Why a decision model for routing?
- From mmBERT-small to Julia 1
- WebGPU and ONNX
- Start here
- Reproduce typed-decision accuracy
- Existing list API
- Limits and deployment notes
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Documentation belongs to its respective authors. Reported project/model license: apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
SupersonicLabs/Julia-1 is a text-classification model repository published by SupersonicLabs on Hugging Face. The source reports the pytorch library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- text-classification
- Library
- pytorch
- Recent downloads (30 days)
- 4,889
- Cumulative likes
- 475
- Hugging Face trending score
- 47
- Reported safetensors parameters
- 144,292,870
- Architecture
- Not reported
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2026-09-23T15:29:46.000Z
- Last modified
- 2026-09-26T22:03:07.000Z
Compatibility and lineage
Language coverage was not reported.
Reported base models: jhu-clsp/mmBERT-small
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-10-11T06:40:09.055Z. Daily imports are snapshots, not real-time monitoring.
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