Hugging Face Overview
Model Overview
The danish-foundation-models/gemma-3-1b-scratch-dynaword-full-v1 is a 1 billion parameter model from the Gemma architecture, developed by danish-foundation-models. It was created as part of the research for the Dynaword paper.
Key Characteristics
- Architecture: Based on the Gemma model family.
- Parameter Count: Features 1 billion parameters, offering a balance between performance and computational efficiency.
- Context Length: Supports a substantial context window of 32768 tokens.
- Training Focus: Specifically trained to demonstrate the relative improvement achieved by utilizing the Danish Dynaword dataset.
Intended Use Cases
This model is particularly well-suited for research and applications focused on:
- Danish Language Processing: Ideal for tasks requiring robust understanding and generation in Danish, given its specialized training on the Danish Dynaword dataset.
- Experimental Research: Useful for researchers exploring the impact of dynamic dataset development on model performance, as outlined in the Dynaword paper.