Hugging Face model card
Fields: tags, gated, license, summary, base model, library name, pipeline tag
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 E2B, E4B, and 12B) 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.
Provider endpoint: google/gemma-4-26b-a4b-it
Fields: tags, gated, license, summary, base model, library name, pipeline tag
Fields: model identity
Fields: identity, description, modalities, context window, maximum output, pricing, supported parameters
Answers are generated from the same sourced model and provider facts shown above.
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 E2B, E4B, and 12B) 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.
Model specifications and prices may vary by provider and change over time. AIToolly displays sources and verification dates so users can confirm critical details before production use.