Instructions to use ibm-granite/granitelib-rag-r1.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Granite Library
How to use ibm-granite/granitelib-rag-r1.0 with Granite Library:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
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answerability/README.md
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**Infrastructure:** We trained the granite-4.0-micro LoRA adapter on IBM's Vela cluster using 8 A100 GPUs.
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**Ethical Considerations:** The answerability adapter
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for Granite 4.0 Micro and was trained on its behavior. While it may be applied
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to other LLMs, it has not been validated for them.
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**Resources**
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- ⭐️ Learn about the latest updates with Granite: https://www.ibm.com/granite
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**Infrastructure:** We trained the granite-4.0-micro LoRA adapter on IBM's Vela cluster using 8 A100 GPUs.
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**Ethical Considerations:** The answerability adapter outputs are not guaranteed to be factually accurate or complete. All outputs should be independently validated before use in decision-making or downstream applications. The model has been trained and evaluated on English data only.
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**Resources**
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- ⭐️ Learn about the latest updates with Granite: https://www.ibm.com/granite
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