google/gemma-3-1b-it-qat-q4_0-unquantized

The google/gemma-3-1b-it-qat-q4_0-unquantized model is a 1 billion parameter instruction-tuned variant from the Gemma 3 family, developed by Google DeepMind. This multimodal model handles text and image inputs, generating text outputs, and is specifically designed for efficient deployment in resource-constrained environments. Utilizing Quantization Aware Training (QAT), this unquantized checkpoint is intended for Q4_0 quantization to significantly reduce memory requirements while preserving quality. It excels in text generation, image understanding, question answering, summarization, and reasoning across over 140 languages.