Qn335/sample_model_gemma2b
TEXT GENERATIONConcurrency Cost:1Model Size:2.5BQuant:BF16Ctx Length:8kPublished:Apr 15, 2026License:apache-2.0Architecture:Transformer Open Weights Cold
Qn335/sample_model_gemma2b is a 2.5 billion parameter causal language model, fine-tuned from Google's Gemma-2b base model. It supports a context length of 8192 tokens and is specifically optimized for Korean language tasks. This model is primarily designed for text generation applications requiring strong performance in Korean.
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Overview
Qn335/sample_model_gemma2b is a 2.5 billion parameter language model built upon the google/gemma-2b architecture. This model has been specifically fine-tuned for Korean language processing, leveraging the Qn335/sampledata dataset.
Key Capabilities
- Korean Language Generation: Excels at generating coherent and contextually relevant text in Korean.
- Base Model Performance: Inherits the robust capabilities of the Gemma-2b base model, adapted for a specialized linguistic focus.
- Standard Library Integration: Compatible with the Hugging Face
transformerslibrary, ensuring ease of integration and use.
Good for
- Applications requiring high-quality text generation in Korean.
- Research and development in Korean natural language processing.
- Scenarios where a compact yet capable model for Korean language tasks is preferred.