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Model: olusegunola/DeepSeek-R1-Distill-Merge-Qwen-Math-1.5Bb
Source: Original Platform

README.md

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+---
+license: apache-2.0
+base_model:
+  - Qwen/Qwen2.5-1.5B
+  - Qwen/Qwen2.5-Math-1.5B-Instruct
+  - DeepSeek-AI/DeepSeek-R1-Distill-Qwen-1.5B
+tags:
+- merge
+- mergekit
+- dare-ties
+- medical-reasoning
+- clinical-coding
+---
+
+# DeepSeek-R1-Distill-Merge-Qwen-Math-1.5Bb
+
+This model is a high-performance merge designed to bridge **Mathematical Logic** and **Reasoning**. It was constructed using **MergeKit** with the **DARE-TIES** method to preserve specialized weights from both source models.
+
+## Merge Methodology
+The merge integrates the logical foundations of **Qwen2.5-Math** with the distilled reasoning capabilities of **DeepSeek-R1**. This combination aims to improve accuracy in structured tasks such as **USMLE-style Q&A** and **ICD-10 clinical coding**.
+
+- **Merge Method:** `dare_ties`
+- **Base Model:** `Qwen/Qwen2.5-1.5B`
+- **Models Integrated:**
+  - `Qwen/Qwen2.5-Math-1.5B-Instruct` (Weight: 0.5)
+  - `DeepSeek-AI/DeepSeek-R1-Distill-Qwen-1.5B` (Weight: 0.5)
+- **Parameters:**
+  - Density: 0.53
+  - Normalize: True
+  - Int8 Mask: True
+
+## Usage
+This model is intended for research purposes in the medical domain. It excels at tasks requiring **Chain-of-Thought (CoT)** explanation before providing a final medical answer.
+
+## Citation (Journal Submission)
+If using this model for research, please cite the merge methodology and the source models accordingly.