Instructions to use inclusionAI/Ling-3.0-flash-VL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Inference
- HuggingChat
- Notebooks
- Google Colab
- Kaggle
Training Content Summary Update
Browse files
README.md
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"temperature": 1.0, "top_k": 20, "top_p": 0.95
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}'
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```
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Video input uses `{"type": "video_url", "video_url": {"url": "..."}}` in the same message shape. For MMMU-Pro / `bench_serving` reproduction commands and per-hardware recipes, see the cookbook page linked above.
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"temperature": 1.0, "top_k": 20, "top_p": 0.95
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}'
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```
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Video input uses `{"type": "video_url", "video_url": {"url": "..."}}` in the same message shape. For MMMU-Pro / `bench_serving` reproduction commands and per-hardware recipes, see the cookbook page linked above.
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<!-- TDS-LINKS:START -->
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## Training content summary
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The public training-content summary identifying **Ling-3.0-flash-VL** is available below. Please refer to the document for its covered model versions, training-content scope, summary version, and update date.
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- [Training-content summary (PDF)](https://huggingface.co/inclusionAI/AI-Transparency/resolve/main/Ling-3.0-VL_TDS-Summary.pdf)
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- [Training-content documentation index](https://huggingface.co/inclusionAI/AI-Transparency)
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This summary concerns training-content disclosure; it does not replace the model’s technical documentation, usage terms, or license.
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<!-- TDS-LINKS:END -->
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