You need to agree to share your contact information to access this model

This repository is publicly accessible, but you have to accept the conditions to access its files and content.

Log in or Sign Up to review the conditions and access this model content.

Toadx2 LLM Model | Gemma2 Fine-Tune

  • Huggingface Korean Dataset & Custom Preprocessed KB Real Estate Data
  • Google Machine Learning Bootcamp 2024, 5th

by. Kim Basilri



What is this project?

  • This project aims to create a web application that predicts future real estate prices by utilizing machine learning techniques through Gemma2 model based on Korean real estate price data. This allows users to make clear and smart judgments through data-based future prediction results without being swept away by the uncertain trend of the Korean real estate market.

Based Model


Fine Tuned Model


Used Dataset

  1. Korean Safe Conversation Dataset

  2. KB Real Estate Data Hub's Apartment Dataset

  3. S.Korea Apartment Market Prediction Dataset


Web Application Github Address

  1. ToadX2 Frontend Github

  2. ToadX2 Backend Github


Finetuning Environment

  1. Google Colab

  2. Huggingface Transformers

Downloads last month
0
Safetensors
Model size
2.61B params
Tensor type
F32
·
Inference API
Unable to determine this model's library. Check the docs .

Model tree for basilry/gemma2-2-2b-it-fine-tuned-korean-real-estate-model

Base model

google/gemma-2-2b
Finetuned
(130)
this model

Dataset used to train basilry/gemma2-2-2b-it-fine-tuned-korean-real-estate-model