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:
# 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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Download LICENSE_NOTICES.md from apus-ailab/APUS-OpenJev-v1: direct link, hf CLI and curl.
- Browser
- Download file 1.17 kB
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https://huggingface.co/apus-ailab/APUS-OpenJev-v1/resolve/dbb25630720f247b0054ec9f261593d8aa4e0e98/LICENSE_NOTICES.md
- Command line
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hf download hf://apus-ailab/APUS-OpenJev-v1@dbb25630720f247b0054ec9f261593d8aa4e0e98/LICENSE_NOTICES.md
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curl -L -o LICENSE_NOTICES.md https://huggingface.co/apus-ailab/APUS-OpenJev-v1/resolve/dbb25630720f247b0054ec9f261593d8aa4e0e98/LICENSE_NOTICES.md
1.17 kB
License scope
The root MIT 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, 9B, and 9B research variant 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.