A compact open-weight model running in 4-bit quantized form, which means it trades some precision for significantly reduced memory footprint. It handles text-in, text-out tasks across a 32k token context window, making it capable of processing longer documents without truncation. As a base model, it lacks instruction-tuning, so it responds more like a text completer than a conversational assistant.