Gemma 4 12B BF16

--- library_name: transformers license: apache-2.0 license_link: https://ai.google.dev/gemma/docs/gemma_4_license pipeline_tag: any-to-any --- > **Note:** This repository is an **archived mirror** and is **not** the original upstream source. > The original model, weights, and documentation are developed and maintained by **Google DeepMind**. > > All hosted model weights are **unmodified**. > > The model is released under the **Apache License, Version 2.0**, which permits use, modification, and redistribution under its terms. > > *This repository is not affiliated with, endorsed by, or sponsored by Google DeepMind.* <p align="center"> <a href="https://huggingface.co/collections/google/gemma-4" target="_blank"> <img src="https://img.shields.io/badge/Models-Hugging%20Face-yellow?style=flat-square" alt="Hugging Face"> </a> <a href="https://github.com/google-gemma" target="_blank"> <img src="https://img.shields.io/badge/Source-GitHub-181717?style=flat-square" alt="GitHub"> </a> <a href="https://blog.google/innovation-and-ai/technology/developers-tools/introducing-gemma-4-12B/" target="_blank"> <img src="https://img.shields.io/badge/Blog-Launch-lightgrey?style=flat-square" alt="Launch Blog"> </a> <a href="https://ai.google.dev/gemma/docs/core" target="_blank"> <img src="https://img.shields.io/badge/Docs-Official-0A66C2?style=flat-square" alt="Documentation"> </a> <a href="https://ai.google.dev/gemma/docs/gemma_4_license" target="_blank"> <img src="https://img.shields.io/badge/License-Apache%202.0-red?style=flat-square" alt="Apache 2.0"> </a> <a href="https://deepmind.google/models/gemma/" target="_blank"> <img src="https://img.shields.io/badge/Author-Google%20DeepMind-blue?style=flat-square" alt="Google DeepMind"> </a> </p> > [!Note] > This model card is for the Gemma 4 12B Unified model, which is part of the Gemma 4 family of open models. Built with the same multimodal functionality as Gemma 4 E2B and E4B (text, audio, image, and video inputs), it brings native audio and vision understanding directly to local environments without the need for separate encoders. This unified approach to multimodality makes the model encoder-free, offering a deployment size that is perfect for consumer devices and streamlined local execution. Gemma is a family of open models built by Google DeepMind. Gemma 4 models are multimodal, handling text and image in...

Source context: 1 downloads · 0 likes · Pipeline any-to-any · Library transformers · Repo YuCollection/gemma-4-12B-bf16