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ushasree2001/
math_coder

Name: math_coder
Rating: 2.5 (6 reviews)

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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.")