Mouhib007
/

DeepSeek-r1-Medical-Mini

@@ -36,30 +36,21 @@ This model is a fine-tuned version of the unsloth/DeepSeek-R1-Distill-Llama-8B m
 <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
 This model is intended for use in medical reasoning tasks, particularly those requiring complex chain-of-thought reasoning. It can be used to generate responses to medical questions, provide explanations, and assist in medical decision-making processes.
-### Direct Use
-<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
-[More Information Needed]
 ### Downstream Use
 <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
 The model can be further fine-tuned for specific medical subdomains or integrated into larger healthcare applications, such as diagnostic tools, medical chatbots, or educational platforms.
-[More Information Needed]
 ### Out-of-Scope Use
 <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
 This model is not intended for use in high-stakes medical decision-making without human oversight. It should not be used as a substitute for professional medical advice, diagnosis, or treatment.
-[More Information Needed]
 ## Bias, Risks, and Limitations
 <!-- This section is meant to convey both technical and sociotechnical limitations. -->
 The model may inherit biases present in the training data, which could affect its performance on certain medical topics or populations. Additionally, the model's responses should be carefully validated, as it may generate incorrect or misleading information.
-[More Information Needed]
 ### Recommendations

 <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
 This model is intended for use in medical reasoning tasks, particularly those requiring complex chain-of-thought reasoning. It can be used to generate responses to medical questions, provide explanations, and assist in medical decision-making processes.
 ### Downstream Use
 <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
 The model can be further fine-tuned for specific medical subdomains or integrated into larger healthcare applications, such as diagnostic tools, medical chatbots, or educational platforms.
 ### Out-of-Scope Use
 <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
 This model is not intended for use in high-stakes medical decision-making without human oversight. It should not be used as a substitute for professional medical advice, diagnosis, or treatment.
 ## Bias, Risks, and Limitations
 <!-- This section is meant to convey both technical and sociotechnical limitations. -->
 The model may inherit biases present in the training data, which could affect its performance on certain medical topics or populations. Additionally, the model's responses should be carefully validated, as it may generate incorrect or misleading information.
 ### Recommendations