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README.md

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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.")