unsloth/gemma-3-1b-it-qat

The unsloth/gemma-3-1b-it-qat model is a 1 billion parameter instruction-tuned variant of Google DeepMind's Gemma 3 family, optimized with Quantization Aware Training (QAT). This multimodal model handles text and image inputs, generating text outputs, and features a 32K token context window. It is designed to maintain bfloat16 quality while significantly reducing memory requirements, making it suitable for resource-constrained environments and a variety of text generation and image understanding tasks.