28 lines
850 B
Markdown
28 lines
850 B
Markdown
---
|
|
base_model: Qwen/Qwen3-1.7B
|
|
tags:
|
|
- peft
|
|
- lora
|
|
- text-generation
|
|
---
|
|
|
|
# Qwen3-1.7B-seed_gen_voronoi
|
|
|
|
## Model Description
|
|
Fine-tuned from `Qwen/Qwen3-1.7B` using QLoRA (4-bit) with supervised fine-tuning.
|
|
|
|
## Training Details
|
|
- Dataset: `Dannys0n/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.
|