Instructions to use apus-ailab/APUS-OpenJev-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use apus-ailab/APUS-OpenJev-v1 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("apus-ailab/APUS-OpenJev-v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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68e5880 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | # License scope
The root [MIT License](LICENSE) applies to original APUS-OpenJev-v1 contributions by the named contributors, including the new model cards and charts. It does not replace licenses or copyright notices for third-party components.
| Component | Applicable terms |
| --- | --- |
| Original release code and documentation | MIT, where newly authored and not otherwise marked |
| Qwen-derived model weights | Apache License 2.0 and the preserved base-model notices |
| Inherited runtime / source-project code | Existing Apache License 2.0 notices; no blanket relicensing |
| Evaluation data and training sources | Each source dataset's license; see the separate dataset repository |
The model directories [4B](4B-5949/LICENSE), [9B](9B-3000/LICENSE), and [9B research variant](9B-5949/LICENSE) retain their original license files. Each also includes `provenance/BASE-LICENSE.txt` and `provenance/SOURCE-PROJECT-LICENSE.txt`. All existing notices remain intact.
The MIT notice does not imply that all underlying weights, datasets, or third-party assets are MIT-licensed. Repository visibility and access permissions are separate from these license terms.
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