A mid-sized mixture-of-experts model that activates roughly 3 billion parameters out of 35 billion total, keeping inference costs lower while retaining a broader parameter pool for complex reasoning. It handles both text and image inputs, making it capable of processing visual content alongside written queries. The INT8 quantization trades a small amount of precision for reduced memory footprint, making it more accessible on consumer hardware.