---
base_model: Qwen/Qwen2.5-1.5B-Instruct
tags:
- peft
- lora
- federated-learning
- flower
datasets:
- vicgalle/alpaca-gpt4
---

# FlowerTune LoRA Model

This is a LoRA adapter for Qwen/Qwen2.5-1.5B-Instruct fine-tuned with Flower federated learning framework on a general NLP dataset.

## Training Details

- Dataset: vicgalle/alpaca-gpt4
- Training method: Federated LoRA fine-tuning with FlowerTune
- Framework: Flower

This model is a LoRA adapter fine-tuned on Qwen/Qwen2.5-1.5B-Instruct using the Flower federated learning framework. It was trained on a general NLP dataset (vicgalle/alpaca-gpt4) through distributed learning to improve performance.

## Links
- FlowerTune Homepage: [https://huggingface.co/zjudai/FlowerTune](https://huggingface.co/zjudai/FlowerTune)
- FlowerTune Collection: [https://huggingface.co/collections/zjudai/flowertune-lora-collection-67ecd5d0dae6145cbf798439](https://huggingface.co/collections/zjudai/flowertune-lora-collection-67ecd5d0dae6145cbf798439)