Granite Library
Safetensors
GGUF
English
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Update answerability/README.md

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@@ -144,9 +144,7 @@ labels and filter out noisy samples.
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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 is designed specifically
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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