| --- |
| 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.") |
