Update README.md

README.md

@@ -6,17 +6,35 @@ tags:
 - unsloth
 - llama
 - trl
+- reinforcement-learning
+- chain-of-thought
+- cold-start
 license: apache-2.0
 language:
 - en
 ---
+# DeepSeek-R1-Medical-COT
 
-# Uploaded  model
+## Overview
+This model is a fine-tuned version of the **DeepSeek-R1-Distill-Llama-8B** model, optimized for medical reasoning and clinical decision-making tasks. It leverages advanced techniques such as **Reinforcement Learning with Human Feedback (RLHF)**, **Chain-of-Thought (CoT)** reasoning, and **cold-start optimization** to provide accurate and explainable responses in medical scenarios.
 
-- **Developed by:** emredeveloper
-- **License:** apache-2.0
-- **Finetuned from model :** unsloth/deepseek-r1-distill-llama-8b-unsloth-bnb-4bit
+---
+
+## Key Features
 
-This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
+### 1. **Chain-of-Thought Reasoning**
+- The model generates step-by-step explanations for its answers, ensuring logical and transparent reasoning.
+- Example:
+  ```plaintext
+  <think>
+  Let's break this down step by step:
+  1. Analyze the key information provided in the question.
+  2. Identify relevant medical concepts or conditions.
+  3. Consider possible explanations or hypotheses based on the given data.
+  4. Evaluate each hypothesis critically and eliminate unlikely options.
+  5. Arrive at the most logical conclusion based on the evidence.
+  </think>
 
-[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
+  <answer>
+  Based on the above reasoning, the most likely answer is: {}
+  </answer>