Gemma 2

Gemma 2

Google
Mu

Mu

Microsoft
+
+

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About

A family of state-of-the-art, light-open models created from the same research and technology that were used to create Gemini models. These models incorporate comprehensive security measures and help ensure responsible and reliable AI solutions through selected data sets and rigorous adjustments. Gemma models achieve exceptional comparative results in their 2B, 7B, 9B, and 27B sizes, even outperforming some larger open models. With Keras 3.0, enjoy seamless compatibility with JAX, TensorFlow, and PyTorch, allowing you to effortlessly choose and change frameworks based on task. Redesigned to deliver outstanding performance and unmatched efficiency, Gemma 2 is optimized for incredibly fast inference on various hardware. The Gemma family of models offers different models that are optimized for specific use cases and adapt to your needs. Gemma models are large text-to-text lightweight language models with a decoder, trained in a huge set of text data, code, and mathematical content.

About

Mu is a 330-million-parameter encoder–decoder language model designed to power the agent in Windows settings by mapping natural-language queries to Settings function calls, running fully on-device via NPUs at over 100 tokens per second while maintaining high accuracy. Drawing on Phi Silica optimizations, Mu’s encoder–decoder architecture reuses a fixed-length latent representation to cut computation and memory overhead, yielding 47 percent lower first-token latency and 4.7× higher decoding speed on Qualcomm Hexagon NPUs compared to similar decoder-only models. Hardware-aware tuning, including a 2/3–1/3 encoder–decoder parameter split, weight sharing between input and output embeddings, Dual LayerNorm, rotary positional embeddings, and grouped-query attention, enables fast inference at over 200 tokens per second on devices like Surface Laptop 7 and sub-500 ms response times for settings queries.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Developers and teams looking for a solution offering LLMs to improve their AI development operations

Audience

Developers seeking a solution to navigate and configure system settings through natural language

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Google
United States
ai.google.dev/gemma

Company Information

Microsoft
Founded: 1975
United States
blogs.windows.com/windowsexperience/2025/06/23/introducing-mu-language-model-and-how-it-enabled-the-agent-in-windows-settings/

Alternatives

Alternatives

CodeT5

CodeT5

Salesforce
GLM-OCR

GLM-OCR

Z.ai
Gemma 3

Gemma 3

Google
Gemma

Gemma

Google
Gemma 4

Gemma 4

Google
Falcon-7B

Falcon-7B

Technology Innovation Institute (TII)

Categories

Categories

Integrations

C
C#
C++
Clojure
Database Mart
Elixir
F#
Gemma
Google AI Studio
Google Cloud Platform
Google Colab
HTML
Hugging Face
JavaScript
LlamaCoder
Nebius Token Factory
Rust
SQL
Scala
Visual Basic

Integrations

C
C#
C++
Clojure
Database Mart
Elixir
F#
Gemma
Google AI Studio
Google Cloud Platform
Google Colab
HTML
Hugging Face
JavaScript
LlamaCoder
Nebius Token Factory
Rust
SQL
Scala
Visual Basic
Claim Gemma 2 and update features and information
Claim Gemma 2 and update features and information
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