| --- |
| 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 |
|
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| This model is a single-turn model and has not been trained on support long, multi-turn conversations. |
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|
