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library_name: transformers
license: apache-2.0
base_model: HuggingFaceTB/SmolLM2-360M-Instruct
tags:
- korean
- text
model-index:
- name: Vere1Ko-360M
results: []
datasets:
- MarkrAI/KoCommercial-Dataset
---
# 1. Vere Series
The **Vere series** has the following characteristics:
* **Small Size**: The model itself is small, allowing it to run in various environments.
* **Focus on a Single Field**: As a small model, it is difficult to excel in all areas. Therefore, it is trained to specialize in a specific field rather than being a generalist.
* **Variety of Models**: Since it doesn't cover all fields, many specialized models are released for each area (with more diverse models planned for the future).
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# 2. VereKo Series
**VereKo** has the following characteristics:
* **Korean Specialization**: It has been trained on a large amount of Korean data, making it proficient in the Korean language.
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# 3. About This Model
* **Model Name**: Vere1Ko-360M
* **Base Model**: [HuggingFaceTB/SmolLM2-360M-Instruct](https://huggingface.co/HuggingFaceTB/SmolLM2-360M-Instruct)
* **Fine-tuning Dataset**: [MarkrAI/KoCommercial-Dataset](https://huggingface.co/datasets/MarkrAI/KoCommercial-Dataset)
* **Small Size**: Can be executed on low-performance devices with 360M parameters
* **Korean Language Specialized**: Fine-tuned with Korean language datasets and specialized for Korean
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# 4. Reason for Creation
It was developed with the goal of creating a small, high-performance model that is proficient in Korean. |