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Model: Dannys0n/Qwen3-1.7B-seed_gen_voronoi
Source: Original Platform

lora_adapter/README.md

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+---
+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.