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  # Model Details
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  - **Model Type:** Transformer-based language model (Qwen3-4B)
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- - **Training Data:** Trained on medical text using the [(MedVAL-Bench)](https://huggingface.co/datasets/stanfordmimi/MedVAL-Bench) dataset
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  - **Fine-Tuning**: PEFT (QLoRA) via [DSPy](https://dspy.ai/)
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  - **Precision**: bfloat16 (bf16) with 4-bit quantization
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  - **License:** MIT License
@@ -138,13 +138,13 @@ All interactions will be structured in the following way, with the appropriate v
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  {ai_generated_output}
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  [[ ## reasoning ## ]]
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- {TO_BE_FILLED_BY_MODEL}
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  [[ ## errors ## ]]
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- {TO_BE_FILLED_BY_MODEL}
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  [[ ## risk_level ## ]]
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- {TO_BE_FILLED_BY_MODEL}
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  [[ ## completed ## ]]
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  """
 
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  # Model Details
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  - **Model Type:** Transformer-based language model (Qwen3-4B)
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+ - **Training Data:** Trained on medical text using the [MedVAL-Bench](https://huggingface.co/datasets/stanfordmimi/MedVAL-Bench) dataset
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  - **Fine-Tuning**: PEFT (QLoRA) via [DSPy](https://dspy.ai/)
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  - **Precision**: bfloat16 (bf16) with 4-bit quantization
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  - **License:** MIT License
 
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  {ai_generated_output}
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  [[ ## reasoning ## ]]
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+ # TO_BE_FILLED_BY_MODEL
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  [[ ## errors ## ]]
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+ # TO_BE_FILLED_BY_MODEL
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  [[ ## risk_level ## ]]
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+ # TO_BE_FILLED_BY_MODEL
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  [[ ## completed ## ]]
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  """