radar-generalist/RADAR
AI model by radar-generalist
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Model card & documentation
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[](https://www.science.org/doi/10.1126/science.aec6129) [](https://github.com/alibaba-damo-academy/damo-radar) [](https://zenodo.org/records/21271172) [](https://creativecommons.org/licenses/by-nc-sa/4.0/) RADAR is a generalist vision-language model trained on over 400,000 contrast-enhanced abdominal CT examinations with 15 million anatomy-aware image–text pairs, learning directly from clinical reports without manual annotation. RADAR provides a scalable and versatile framework for…
Read the full model card ↗ · Preview checked 2026-09-21T09:49:40.993Z
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Model overview
radar-generalist/RADAR is a task-unspecified model repository published by radar-generalist on Hugging Face. A library was not reported.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- Not reported
- Library
- Not reported
- Recent downloads (30 days)
- 0
- Cumulative likes
- 59
- Hugging Face trending score
- 56
- Reported safetensors parameters
- Not reported
- Architecture
- Not reported
- License
- cc-by-nc-sa-4.0
- Access
- Not gated by Hugging Face
- Created
- 2026-07-22T03:10:57.000Z
- Last modified
- 2026-09-18T01:42:59.000Z
Compatibility and lineage
Reported languages: en
Base-model lineage was not included.
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 2026-09-21T06:36:47.722Z. Daily imports are snapshots, not real-time monitoring.
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