saneaven/Qwen3-1.7B-novel-agent

Qwen3-1.7B-novel-agent

Model Description

Fine-tuned from Qwen/Qwen3-1.7B using QLoRA (4-bit) with supervised fine-tuning.

Training Details

• —Dataset: saneaven/novel-dataset-v0
• —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.