llaa33219/Vere1Ko-0.6B

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.