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gemma-4-31B-it-AWQ

Base model: google/gemma-4-31B-it This repo quantizes the model using data-free quantization (no calibration dataset required). Gemma is a family of open models built by Google DeepMind. Gemma 4 models are multimodal, handling text and image input (with audio supported on small models) and generating text output. This release includes open-weights models in both pre-trained and instruction-tuned variants. Gemma 4 features a context window of up to 256K tokens and maintains multilingual support in over 140 languages.

Base model: google/gemma-4-31B-it This repo quantizes the model using data-free quantization (no calibration dataset required). Gemma is a family of open models built by Google DeepMind. Gemma 4 models are multimodal, handling text and image input (with audio supported on small models) and generating text output. This release includes open-weights models in both pre-trained and instruction-tuned variants. Gemma 4 features a context window of up to 256K tokens and maintains multilingual support in over 140 languages.

Sources

huggingface.co ↗