math-llm-demo_v2 / README.md
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feat: configure for ZeroGPU with A100
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---
title: Mathematics Derivative Solver V2
emoji: 🧮
colorFrom: blue
colorTo: green
sdk: gradio
sdk_version: 4.44.1
app_file: app.py
pinned: false
hardware:
zerogpu: true
memory: 16
python_packages:
- "torch>=2.0.0"
- "transformers>=4.30.0"
- "accelerate>=0.20.0"
- "peft==0.5.0"
- "numpy>=1.21.0"
- "spaces>=0.1.0"
---
# Mathematics Derivative Solver V2
This Space demonstrates our fine-tuned math model for solving derivatives. We use:
1. Base Model: HuggingFaceTB/SmolLM2-1.7B-Instruct
2. Our Fine-tuned Model: Joash2024/Math-SmolLM2-1.7B
## Features
- Step-by-step derivative solutions
- LaTeX notation support
- A100 GPU acceleration via ZeroGPU
- Float16 precision for efficient inference
## Supported Functions
- Polynomials (x^2, x^3 + 2x)
- Trigonometric (sin(x), cos(x))
- Exponential (e^x)
- Logarithmic (log(x))
- Combinations (x e^{-x})