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title: Math Derivative Solver (Test) | |
emoji: 🧮 | |
colorFrom: blue | |
colorTo: green | |
sdk: gradio | |
sdk_version: 5.8.0 | |
app_file: app.py | |
pinned: false | |
hardware: | |
gpu: t4 | |
memory: 16 | |
python_packages: | |
- torch>=2.0.0 | |
- transformers>=4.30.0 | |
- accelerate>=0.20.0 | |
- bitsandbytes>=0.41.1 | |
- peft==0.6.2 | |
- scipy>=1.11.0 | |
# Math Derivative Solver (Test Space) | |
This Space tests our newly trained math model for solving derivatives. We're using: | |
1. Base Model: HuggingFaceTB/SmolLM2-1.7B-Instruct | |
2. Our Fine-tuned Model: Joash2024/Math-SmolLM2-1.7B (LoRA adapter) | |
## Features | |
- Solve derivatives of mathematical functions | |
- Step-by-step explanations | |
- Support for various functions: | |
- Polynomials (x^2, x^3 + 2x) | |
- Trigonometric (sin(x), cos(x)) | |
- Exponential (e^x) | |
- Logarithmic (log(x)) | |
- Combinations (x e^{-x}) | |
## Technical Details | |
- 8-bit quantization for efficient inference | |
- GPU acceleration with T4 | |
- LaTeX notation support |