RADAR-Vicuna-7B
RADAR-Vicuna-7B is an AI-text detector trained via adversarial learning between the detector and a paraphraser on human-text corpus (OpenWebText) and AI-text corpus generated based on OpenWebText.
Params
7.0 B
Context
512
Downloads 30d
315 K
Likes
13
Download history
daily snapshots · 55 days
▲ 622 K in the last 30 days (66.4%)
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Specifications
- Architecture
- RobertaForSequenceClassification
- Parameters
- 7.0 B
- Context length
- 512
- Vocabulary
- 50,265
- Layers / heads
- 24 / 16
- First seen on the Hub
- 2023-06-24
- Training datasets
- undisclosed
- Added to our catalog
- 2026-07-28
Compare with any text-classification model