README.md

---
license: apache-2.0
language:
- en
pipeline_tag: text-generation
tags:
- mathematics
- education
- instruction-tuning
- large-language-model
- llama
---
# MathCoder-7B: Instruction-Tuned Educational Math Model

## Overview
MathCoder-7B is a fine-tuned large language model designed to generate clear, step-by-step solutions for educational mathematics problems. The model focuses on instructional clarity and reasoning transparency rather than benchmark optimisation.

## Task
- Educational math problem solving
- Step-by-step solution generation
- Math tutoring assistance

## Training Details
- Base model: 7B parameter open-source language model
- Fine-tuning approach: Instruction tuning
- Dataset: Custom-curated educational math instruction data
- Training environment: Single-GPU setup
- Objective: Improve structured reasoning and explanation quality

## Intended Use
This model is intended for academic research, educational tools, and experimentation with math tutoring systems. It is not designed for production use or safety-critical applications.

## Limitations
- The model has not been evaluated on standard mathematical benchmarks.
- It may generate verbose outputs for simple problems.
- Errors may occur for advanced or highly specialised math topics.

## Notes
- This model was developed as part of MSc-level academic coursework.
- Emphasis was placed on clarity of reasoning and pedagogical usefulness.
- Future work may include dataset expansion and formal evaluation.

## Changelog
- August 2025: Initial fine-tuned release
- Planned: Improved dataset and evaluation in future versions

## Example Usage
```python
from transformers import pipeline

pipe = pipeline("text-generation", model="ushasree2001/math_coder")
pipe("Solve: If 3x + 5 = 14, find x.")