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xsanskarx/qwen2-0.5b_numina_math-instruct-gguf

This repository contains a gguf fine-tuned version of the Qwen-2 0.5B model specifically optimized for mathematical instruction understanding and reasoning. It builds upon the Numina dataset, which provides a rich source of mathematical problems and solutions designed to enhance reasoning capabilities even in smaller language models.

Motivation

My primary motivation is the hypothesis that high-quality datasets focused on mathematical reasoning can significantly improve the performance of smaller models on tasks that require logical deduction and problem-solving. Uploading comprehensive benchmarks is the next step in evaluating this claim.

Model Details

  • Base Model: Qwen-2 0.5B
  • Fine-tuning Dataset: Numina
  • Key Improvements: Enhanced ability to parse mathematical instructions, solve problems, and provide step-by-step explanations.
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GGUF
Model size
494M params
Architecture
qwen2

16-bit

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Dataset used to train xsanskarx/qwen2-0.5b_numina_math-instruct-gguf