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- Reasoning
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<img src="https://www.German-RAG.ai/wp-content/uploads/2024/12/German-RAG-ICON-TO-WORDLOGO-Animation_Loop-small-ezgif.com-video-to-gif-converter.gif" alt="German-RAG Logo" width="400" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
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# German-RAG-PHI-3-mini-4B-CPT-HESSIAN-AI
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<!-- Provide a quick summary of what the model is/does. -->
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| Model | GPU Type | Power Consumption From GPUs |
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| German-RAG-PHI-CPT | A100 ([Hessian AI supercomputer](https://hessian.ai/de/)) | 0.00576MWh MWh |
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## Bias, Risks, and Limitations
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Like any base language model or fine-tuned model without safety filtering, it is relatively easy for a user to prompt these models to generate harmful and generally sensitive content.
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## Model Card Contact
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For errors in this model card, please contact ([German-RAG@avemio.digital](mailto:German-RAG@avemio.digital)).
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## The German-RAG AI Team
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[Marcel Rosiak](https://de.linkedin.com/in/marcel-rosiak)
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[Soumya Paul](https://de.linkedin.com/in/soumya-paul-1636a68a)
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- Reasoning
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---
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# German-RAG-PHI-3-mini-4B-CPT-HESSIAN-AI
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<!-- Provide a quick summary of what the model is/does. -->
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| Model | GPU Type | Power Consumption From GPUs |
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|----------------|---------------------|-----------------------------|
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| German-RAG-PHI-CPT | A100 ([Hessian AI supercomputer](https://hessian.ai/de/)) | 0.00576MWh MWh |
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## Bias, Risks, and Limitations
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Like any base language model or fine-tuned model without safety filtering, it is relatively easy for a user to prompt these models to generate harmful and generally sensitive content.
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## The German-RAG AI Team
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[Marcel Rosiak](https://de.linkedin.com/in/marcel-rosiak)
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[Soumya Paul](https://de.linkedin.com/in/soumya-paul-1636a68a)
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