---
library_name: transformers
license: apache-2.0
base_model: Qwen/Qwen3-0.6B
tags:
- korean
- text
model-index:
- name: Vere1Ko-0.6B
  results: []
datasets:
- MarkrAI/KoCommercial-Dataset
---
![image](https://img.bloupla.net/Jxy2gAU3?raw=1)

# 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-0.6B
*  **Base Model**: Qwen/Qwen3-0.6B
*  **Fine-tuning Dataset**: MarkrAI/KoCommercial-Dataset
*  **Computational Power**: Combining Qwen3-0.6B's performance with KoCommercial-Dataset delivers enhanced computational capabilities.
*  **Korean Specialized**: Fine-tuned on the KoCommercial-Dataset, providing strong proficiency in Korean.
*  **Max Tokens**: Inherits Qwen3-0.6B's large maximum token limit, enabling effective processing of long texts.

# 4. Reason for Creation
I created this model because I wanted a Korean-proficient model with a small parameter size that can run smoothly across various environments.