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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}) | |