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.
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.
