A compact, text-focused model built on Google's Gemma 3 architecture and fine-tuned by twinkle-ai. It handles a generous 128K token context window despite its modest 4B parameter size, making it capable of processing long documents without the memory footprint of larger models. As a fine-tuned variant, its specific behavioral adjustments relative to the base Gemma 3 4B are not fully detailed publicly.