# Welcome Gemma 4: Frontier multimodal intelligence on device

DevFeed: [Welcome Gemma 4: Frontier multimodal intelligence on device](<https://devfeed.tech/articles/welcome-gemma-4-frontier-multimodal-intelligence-on-device-7214.md>)

Original publisher: [Read original article](<https://huggingface.co/blog/gemma4>)

Author: merve; Pedro Cuenca; Sergio Paniego; ben burtenshaw; Steven Zheng; Alvaro Bartolome; Nathan Habib

Published: 2026-04-02T00:00:00Z

Content type: article

Language: en

Sources: [Hugging Face - Blog](<https://devfeed.tech/sources/hugging-face-blog.md>)

Topics: [gemma4](<https://devfeed.tech/topics/gemma4.md>), [multimodal](<https://devfeed.tech/topics/multimodal.md>), [Open Source](<https://devfeed.tech/topics/open-source.md>), [long-context](<https://devfeed.tech/topics/long-context.md>), [quantization](<https://devfeed.tech/topics/quantization.md>), [llama.cpp](<https://devfeed.tech/topics/llama-cpp.md>), [MLX](<https://devfeed.tech/topics/mlx.md>), [Rust](<https://devfeed.tech/topics/rust.md>), [webgpu](<https://devfeed.tech/topics/webgpu.md>)

Tags: [audio](<https://devfeed.tech/tags/audio.md>), [benchmarks](<https://devfeed.tech/tags/benchmarks.md>), [fine-tuning](<https://devfeed.tech/tags/fine-tuning.md>), [gemma](<https://devfeed.tech/tags/gemma.md>), [gemma4](<https://devfeed.tech/tags/gemma4.md>), [generation](<https://devfeed.tech/tags/generation.md>), [google](<https://devfeed.tech/tags/google.md>), [guide](<https://devfeed.tech/tags/guide.md>), [llama](<https://devfeed.tech/tags/llama.md>), [llama-cpp](<https://devfeed.tech/tags/llama-cpp.md>), [local](<https://devfeed.tech/tags/local.md>), [long-context](<https://devfeed.tech/tags/long-context.md>), [mlx](<https://devfeed.tech/tags/mlx.md>), [models](<https://devfeed.tech/tags/models.md>), [moe](<https://devfeed.tech/tags/moe.md>), [multimodal](<https://devfeed.tech/tags/multimodal.md>), [on-device](<https://devfeed.tech/tags/on-device.md>), [open](<https://devfeed.tech/tags/open.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [quantization](<https://devfeed.tech/tags/quantization.md>), [science](<https://devfeed.tech/tags/science.md>), [speed](<https://devfeed.tech/tags/speed.md>)

## AI overview

Gemma 4 is presented as an open, Apache 2-licensed family of multimodal models supporting image, video, text, and, for selected variants, audio inputs. The article highlights on-device deployment, long-context support, compatibility across libraries and devices, quantization, benchmark results, and implementation options including llama.cpp, MLX, WebGPU, and Rust.

## Source excerpt

We're on a journey to advance and democratize artificial intelligence through open source and open science.