WizardMath 7B
Reinforced Evol-Instruct for Math

Why This Mattered in 2023

WizardMath was one of the first demonstrations that a small open-source model could be dramatically improved on specific tasks through clever training methodology. The jump from 14.6% to 54.9% on GSM8K showed that task-specific fine-tuning could close much of the gap with much larger models.

Source: "WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct" — Luo et al., August 2023 (arXiv:2308.09583)

Python API Example

import requests

def solve_math(problem: str) -> str:
    """Send a math problem to WizardMath via Ollama API."""
    response = requests.post(
        "http://localhost:11434/api/generate",
        json={
            "model": "wizard-math",
            "prompt": f"Solve step by step: {problem}",
            "stream": False,
            "options": {
                "temperature": 0.1,  # Low temp for math accuracy
                "num_ctx": 4096
            }
        }
    )
    return response.json()["response"]

# Example usage
answer = solve_math("A store sells apples for $2 each. "
    "If you buy 5 or more, you get a 10% discount. "
    "How much do 7 apples cost?")
print(answer)

Tip: Use low temperature (0.1-0.3) for math to reduce random variation in numerical answers.

Better Math Models in 2026

For math-specific use in 2026, use ollama pull qwen2.5-math:7b. Same hardware requirements as WizardMath but dramatically better math performance.