math-shepherd-mistral-7b-prm
| Property | Value |
|---|---|
| Base Model | Mistral-7B |
| Research Paper | Math-Shepherd Paper |
| Downloads | 26,457 |
| Framework | PyTorch |
What is math-shepherd-mistral-7b-prm?
math-shepherd-mistral-7b-prm is a specialized process reward model built on the Mistral-7B architecture, designed to evaluate the quality of step-by-step mathematical solutions. This model implements a unique scoring system using a special step tag 'ки' to assess the correctness of each solution step.
Implementation Details
The model processes mathematical problems and their step-by-step solutions, utilizing a binary scoring mechanism with '+' and '-' tokens to evaluate correctness. It employs the Mistral-7B architecture and is implemented using PyTorch and the Transformers library.
- Uses special step tag 'ки' for solution step demarcation
- Implements softmax-based scoring for solution evaluation
- Processes both question and solution pairs in a structured format
- Provides step-wise confidence scores through logits analysis
Core Capabilities
- Evaluation of mathematical solution steps with high precision
- Generation of confidence scores for each solution step
- Ability to distinguish between correct and incorrect final answers
- Support for complex, multi-step mathematical problems
Frequently Asked Questions
Q: What makes this model unique?
This model specializes in evaluating mathematical solutions step-by-step, using a novel approach with the 'ки' tag system and providing granular scoring for each solution step. Its ability to distinguish between correct and incorrect solutions makes it valuable for educational and verification purposes.
Q: What are the recommended use cases?
The model is ideal for automated mathematical solution verification, educational applications requiring step-by-step solution validation, and systems needing to assess the quality of mathematical reasoning processes.
