rho-1b-sft-GSM8K
| Property | Value |
|---|---|
| Model Size | 1B parameters |
| Paper | arXiv:2410.01679 |
| Model Hub | HuggingFace |
What is rho-1b-sft-GSM8K?
rho-1b-sft-GSM8K is a specialized language model built on the Rho architecture, containing 1 billion parameters and fine-tuned specifically on the GSM8K dataset. This model represents a focused effort to enhance mathematical reasoning capabilities through Supervised Fine-Tuning (SFT).
Implementation Details
The model builds upon the research presented in arXiv:2410.01679, implementing supervised fine-tuning techniques on the GSM8K (Grade School Math 8K) dataset. The architecture leverages the Rho framework, which is designed to balance computational efficiency with performance.
- Built on Rho architecture with 1B parameters
- Specialized for mathematical reasoning tasks
- Implements SFT techniques from referenced research
- Hosted on HuggingFace for easy access and deployment
Core Capabilities
- Mathematical problem solving
- Grade-school level mathematical reasoning
- Step-by-step solution generation
- Structured mathematical computation
Frequently Asked Questions
Q: What makes this model unique?
This model represents a focused implementation of the Rho architecture specifically optimized for mathematical reasoning through supervised fine-tuning on the GSM8K dataset, making it particularly effective for grade-school level mathematical problems.
Q: What are the recommended use cases?
The model is best suited for applications requiring mathematical reasoning at the grade-school level, including educational tools, automated tutoring systems, and mathematical problem-solving applications.
