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Update model card

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@@ -34,7 +34,7 @@ LoRA fine-tuned model merged into standalone format for Finnish dental medicine
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  **Research Focus:** This model demonstrates domain-specific fine-tuning with low computational resources. The goal is to explore how specialized models can be trained and deployed on consumer hardware (including personal GPUs) rather than requiring high-end infrastructure.
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- **System prompt recommendation:** This model was trained with a specific system prompt. For best results, we recommend using the same prompt format shown in the examples below.
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  **Response Format:** The model is trained to structure all clinical responses in three sections: "### Tausta" (Background), "### Arvio" (Assessment), "### Suositus" (Recommendation).
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  **Research Focus:** This model demonstrates domain-specific fine-tuning with low computational resources. The goal is to explore how specialized models can be trained and deployed on consumer hardware (including personal GPUs) rather than requiring high-end infrastructure.
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+ **System Prompt Recommendation:** This model was trained with a specific system prompt. For best results, we recommend using the same prompt format shown in the examples below.
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  **Response Format:** The model is trained to structure all clinical responses in three sections: "### Tausta" (Background), "### Arvio" (Assessment), "### Suositus" (Recommendation).
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