| | --- |
| | 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. |
| |
|
