simonguest/Qwen3-1.7B-code-explainer-2

1---2base_model: Qwen/Qwen3-1.7B3tags:4- peft5- lora6- text-generation7---8 9# Qwen3-1.7B-code-explainer-210 11## Model Description12Fine-tuned from `Qwen/Qwen3-1.7B` using QLoRA (4-bit) with supervised fine-tuning.13 14## Training Details15- Dataset: `simonguest/test-dataset`16- LoRA rank: 16, alpha: 3217- Epochs: 3, Learning rate: 0.000218 19## Intended Use20 21This model is a test model used for the CS-394/594 class at DigiPen.22 23The 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.24 25## Limitations26 27This model is a single-turn model and has not been trained on support long, multi-turn conversations.28