unsloth/gemma-3-27b-pt

The unsloth/gemma-3-27b-pt model is a 27 billion parameter pre-trained variant from Google DeepMind's Gemma 3 family, designed for multimodal capabilities including text and image input with text output. It features a 128K token context window and multilingual support across over 140 languages. This model is optimized for a variety of text generation and image understanding tasks, such as question answering, summarization, and reasoning, making it suitable for deployment in resource-limited environments.