# Third-party model notices

GUI-JEPA contributions are covered by the MIT license in `LICENSE`. The following pretrained models were used to initialize included weights, and their Apache-2.0 license notices and conditions remain applicable. A copy of Apache-2.0 is included in `licenses/Apache-2.0.txt`.

| Included component | Upstream model | Upstream license | GUI-JEPA adaptation |
|:--|:--|:--|:--|
| `encoder/encoder_1.pt` | [timm/vit_large_patch16_224.augreg_in21k_ft_in1k](https://huggingface.co/timm/vit_large_patch16_224.augreg_in21k_ft_in1k) | Apache-2.0 | GUI screenshot JEPA pretraining; classification head removed |
| `policy/matcher_lm/` | [sentence-transformers/all-MiniLM-L12-v2](https://huggingface.co/sentence-transformers/all-MiniLM-L12-v2) | Apache-2.0 | Fine-tuned as the policy cross-encoder text matcher |
| `span_ranker/ranker_lm/` | [sentence-transformers/all-MiniLM-L6-v2](https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2) | Apache-2.0 | Fine-tuned for goal-source span ranking |
| `click_reranker/reranker_lm/` | [sentence-transformers/all-MiniLM-L12-v2](https://huggingface.co/sentence-transformers/all-MiniLM-L12-v2) | Apache-2.0 | Fine-tuned for click candidate reranking |

The corresponding tokenizer assets are derived from the same upstream repositories. We thank the Google Vision Transformer, timm, Microsoft MiniLM and sentence-transformers authors. The upstream model cards link the original papers, attribution and licensing information.

The frozen CLIP text encoder (`openai/clip-vit-base-patch32`) is an external runtime dependency and is downloaded separately. AndroidControl, GUI-Odyssey and VideoCUA are training/evaluation data sources and are distributed by their respective owners.