metadata
base_model: Qwen/Qwen3-1.7B
tags:
- peft
- lora
- text-generation
Qwen3-1.7B-code-explainer
Model Description
Fine-tuned from Qwen/Qwen3-1.7B using QLoRA (4-bit) with supervised fine-tuning.
Training Details
- Dataset:
simonguest/test-dataset - LoRA rank: 16, alpha: 32
- Epochs: 3, Learning rate: 0.0002
Intended Use
This model is a test model used for the CS-394/594 class at DigiPen.
The model is designed to provide a summary explanation of a snippet of Python code, to be used in an IDE. This model takes a snippet of code (passed as the user prompt) and returns a two paragraph explanation of what the code does, including an analogy that helps students better understand how the code functions.
Limitations
This model is a single-turn model and has not been trained on support long, multi-turn conversations.