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A newer version of the Gradio SDK is available:
5.12.0
metadata
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:
- Base Model: HuggingFaceTB/SmolLM2-1.7B-Instruct
- 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