Hugging Face Model Overview
The gemmathon/gemma-2b-ko-dev-pbmt192 is a 2.5 billion parameter language model built upon the Gemma architecture. It supports a context length of 8192 tokens, indicating its capacity to process moderately long sequences of text. The model card, however, currently lacks detailed information regarding its specific training data, unique capabilities, or intended applications.
Key Characteristics
- Model Size: 2.5 billion parameters.
- Architecture: Based on the Gemma family of models.
- Context Length: Capable of handling sequences up to 8192 tokens.
Current Status
As per its model card, specific details on its development, funding, language support, and fine-tuning are marked as "More Information Needed." This suggests it may be an early-stage development or a foundational model awaiting further specialization and documentation. Users should consult future updates for more comprehensive insights into its performance, biases, and recommended use cases.