37 lines
1.3 KiB
Markdown
37 lines
1.3 KiB
Markdown
---
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license: apache-2.0
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base_model:
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- Qwen/Qwen2.5-1.5B
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- Qwen/Qwen2.5-Math-1.5B-Instruct
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- DeepSeek-AI/DeepSeek-R1-Distill-Qwen-1.5B
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tags:
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- merge
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- mergekit
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- dare-ties
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- medical-reasoning
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- clinical-coding
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---
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# DeepSeek-R1-Distill-Merge-Qwen-Math-1.5Bb
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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.
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## Merge Methodology
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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**.
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- **Merge Method:** `dare_ties`
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- **Base Model:** `Qwen/Qwen2.5-1.5B`
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- **Models Integrated:**
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- `Qwen/Qwen2.5-Math-1.5B-Instruct` (Weight: 0.5)
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- `DeepSeek-AI/DeepSeek-R1-Distill-Qwen-1.5B` (Weight: 0.5)
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- **Parameters:**
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- Density: 0.53
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- Normalize: True
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- Int8 Mask: True
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## Usage
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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.
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## Citation (Journal Submission)
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If using this model for research, please cite the merge methodology and the source models accordingly.
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