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Model: lucas-sousa-pereira/qwen2.5-7b-java-code-refactoring
Source: Original Platform

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README.md

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+---
+license: apache-2.0
+base_model: Qwen/Qwen2.5-7B-Instruct
+language:
+- en
+tags:
+- instructlab
+- lora
+- code
+- java
+- code-refactoring
+- qwen2.5
+pipeline_tag: text-generation
+---
+
+# Qwen2.5-7B-Instruct Fine-Tuned for Java Code Refactoring
+
+## Overview
+
+This model is a fine-tuned version of **Qwen2.5-7B-Instruct** specialized for **Java code refactoring** using the **InstructLab** framework.
+
+The training dataset was generated using the **Skills** pipeline of InstructLab, with **GPT-4o** acting as the teacher model to generate instruction-response pairs. A total of **1,440 synthetic training instances** were used for fine-tuning.
+
+## Base Model
+
+- Qwen/Qwen2.5-7B-Instruct
+
+## Training
+
+The dataset was generated using:
+
+```bash
+ilab data generate \
+  --model "openai/gpt-4o" \
+  --endpoint-url "http://localhost:8000/v1" \
+  --api-key "$ILAB_API_KEY" \
+  --pipeline simple
+```
+
+The model was fine-tuned using:
+
+```bash
+ilab model train \
+  --model-path Qwen/Qwen2.5-7B-Instruct \
+  --num-epochs 3 \
+  --device cpu \
+  --max-seq-len 2048 \
+  --max-batch-len 10000 \
+  --effective-batch-size 128 \
+  --lora-rank 32 \
+  --lora-alpha 64 \
+  --lora-dropout 0.1 \
+  --learning-rate 1e-4 \
+  --is-padding-free false
+```
+
+## Intended Use
+
+This model is intended for Java code refactoring tasks. It is designed to generate refactored Java code while preserving the original program behavior.
+
+## Training Data
+
+- Framework: InstructLab
+- Pipeline: Skills
+- Teacher model: GPT-4o
+- Number of training instances: 1,440
+
+## License
+
+This model is released under the Apache 2.0 license, consistent with the license of the base model.

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