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Update factuality-correction/granite-4.0-micro/README.md (#6)
Browse files- Update factuality-correction/granite-4.0-micro/README.md (e79b7a13ff8f4dbf33845eb0d8e0c7fe378c9ffd)
Co-authored-by: Manish Nagireddy <mnagired@users.noreply.huggingface.co>
factuality-correction/granite-4.0-micro/README.md
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**Resources**
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## Infrastructure
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We trained the Granite Micro 4.0 Factuality Correction adapter on IBM's Vela cluster using 4 A100 GPUs.
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## Ethical Considerations
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The Granite Micro 4.0 Factuality Correction adapter is primarily fine-tuned on English-only input–output pairs. Although the underlying base model supports multilingual dialogue, the adapter’s performance on non-English tasks may differ from its performance on English. In addition, while the base model has been aligned with safety considerations in mind, the adapter may, in some cases, produce inaccurate, biased, or otherwise unsafe outputs in response to user prompts. It is also important to note that there is no built-in safeguard guaranteeing that the correction output is always correct. As with other generative models, safety assurance relies on offline evaluation procedures (see Evaluation), and while we expect the generated outputs to meet safety standards, this cannot be guaranteed. Finally, this adapter is specifically optimized for the factuality definition described above, and its behavior outside that scope may be limited.
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**Resources**
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