QwenLoRA Manim Coder
Introduction
QwenLoRA Manim Coder is a LoRA adapter fine-tuned from Qwen2.5-Coder-14B-Instruct, specialized for generating mathematical animation code using ManimCE.
Training Details
- Base Model: Qwen2.5-Coder-14B-Instruct
- Training Method: LoRA (Low-Rank Adaptation)
- Dataset: dalle2/3b1b-manim (900 high-quality examples)
- Training Date: August 2025
- Trainable Parameters: 68,812,800 (0.46% of base model)
Usage
This model generates Manim animation code from natural language descriptions:
- "Create a Manim animation showing the quadratic formula"
- "Animate the Pythagorean theorem with a right triangle"
- "Show the limit definition of a derivative"
Model Type
This repository contains LoRA adapter weights that need to be merged with the base model for inference.
