FuseO1-DeepSeekR1-Qwen2.5-Coder-32B-Preview
| Property | Value |
|---|---|
| Model Size | 32B parameters |
| Developer | FuseAI Team |
| Base Models | DeepSeek-R1-Distill-Qwen-32B, Qwen2.5-32B-Coder |
| Model Type | Long-Short Reasoning Merge |
| Primary Focus | Mathematics and Coding Tasks |
What is FuseO1-DeepSeekR1-Qwen2.5-Coder-32B-Preview?
This model represents an innovative fusion of large language models specifically designed to enhance System-II reasoning capabilities. It combines DeepSeek-R1 and Qwen2.5-Coder through advanced SCE merging methodologies, creating a unified model that excels in both long and short reasoning processes.
Implementation Details
The model implements a Long-Short Reasoning Merge architecture, specifically combining the strengths of DeepSeek-R1-Distill-Qwen-32B's long-chain reasoning with Qwen2.5-32B-Coder's efficient processing. This fusion enables superior performance in complex reasoning tasks while maintaining versatility across different domains.
- Achieves significant performance improvements over individual base models
- Implements advanced SCE merging methodology
- Supports both long-chain and short-chain reasoning processes
Core Capabilities
- Strong performance in LiveCodeBench (56.4% accuracy)
- Enhanced mathematical reasoning abilities
- Improved performance in both easy and hard coding tasks
- Superior results compared to OpenAI o1-preview and o1-mini in various benchmarks
Frequently Asked Questions
Q: What makes this model unique?
The model's unique strength lies in its ability to combine long-chain reasoning capabilities with efficient short-chain processing, making it particularly effective for complex mathematical and coding tasks. It demonstrates significant improvements over base models and approaches the performance of leading commercial models.
Q: What are the recommended use cases?
The model excels in mathematical reasoning, coding tasks, and scientific problem-solving. It's particularly well-suited for applications requiring both detailed step-by-step reasoning and efficient computation, such as advanced mathematics education and complex programming challenges.
