Gemma 4 12B It FP8D

--- license: apache-2.0 base_model: - google/gemma-4-12B-it pipeline_tag: any-to-any library_name: transformers --- <div align="center"> <img src=https://ai.google.dev/gemma/images/gemma4_banner.png> </div> <p align="center"> <a href="https://huggingface.co/collections/google/gemma-4" target="_blank">Hugging Face</a> | <a href="https://github.com/google-gemma" target="_blank">GitHub</a> | <a href="https://blog.google/innovation-and-ai/technology/developers-tools/introducing-gemma-4-12B/" target="_blank">Launch Blog</a> | <a href="https://ai.google.dev/gemma/docs/core" target="_blank">Documentation</a> <br> <b>License</b>: <a href="https://ai.google.dev/gemma/docs/gemma_4_license" target="_blank">Apache 2.0</a> | <b>Authors</b>: <a href="https://deepmind.google/models/gemma/" target="_blank">Google DeepMind</a> </p> > [!Note] > This repository contains a FP8 dynamic version of `gemma-4-12B-it`, quantized to run on <=16GB VRAM hardware. > Given the quantization method, it requires Ada-based or later architectures.

Source context: 4 downloads · 0 likes · Pipeline any-to-any · Library transformers · Repo edornd/gemma-4-12B-it-FP8D