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Ko Llama 3 8B Instruct

Developed by davidkim205
Ko-Llama-3-8B-Instruct is a model specifically developed to enhance the performance of Korean language models, based on supervised fine-tuning of Meta-Llama-3-8B-Instruct.
Downloads 140
Release Time : 6/12/2024

Model Overview

This model uses rejection sampling techniques to create datasets and undergoes supervised fine-tuning training, aiming to optimize Korean text generation tasks.

Model Features

Korean optimization
Optimized specifically for Korean text generation tasks, enhancing Korean language model performance.
Rejection sampling technique
Uses rejection sampling techniques to create datasets, improving data quality.
Supervised fine-tuning
Trained through supervised fine-tuning (SFT) to optimize model performance.

Model Capabilities

Korean text generation
English text generation
Multi-turn dialogue

Use Cases

Chatbot
Korean chatbot
Can be used to build a Korean chatbot that provides specific answers.
Example output shows the model's ability to understand and generate Korean responses.
Text generation
Polysemy explanation
Capable of generating explanations for polysemous words in different contexts.
Examples demonstrate the polysemy of the word 'apple'.
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