Latest Announcements

We are thrilled to announce that the G4 Turbo project has officially surpassed 31,000 downloads across the Ollama Hub and Hugging Face!

Our flagship gemma4-turbo variant has climbed to over 24,600 pulls, while the mobile-first gemma4-nano has reached over 6,700 pulls.

This rapid growth is a huge testament to the community's desire for fast, high-performance, and private local AI. Thank you for being a part of this journey!

We are proud to share that the G4 Turbo project has reached a new milestone: 26,880 downloads across the Ollama Hub and Hugging Face!

Our optimized Gemma 4 builds continue to gain traction as the community embraces high-performance, private, and local AI model options. Thank you for your support!

We are officially beginning the development of Pocket Ash, a standalone mobile application for Android and iOS that brings the full power of G4 Turbo directly to your phone.

Sovereign Privacy: Pocket Ash runs 100% offline using LiteRT. Your conversations and memories never leave your hardware.

Biometric Security: To protect your AI familiar, we have integrated Fingerprint and Face ID locking, ensuring your digital companion is accessible only to you.

We have successfully completed the quantization of the Gemma 4 12B base weights. This release bridges the gap between our lightweight edge models and the massive 31B flagship.

Turbo 12B (IQ4_XS): Optimized for users with 16GB of RAM. This build includes the full Vision Encoder, allowing for high-speed local image analysis and reasoning.

Nano 12B (Q3_K_S): A hyper-compressed 12B model that fits into under 6GB of VRAM, making 12B-tier intelligence accessible to older GPUs and high-end mobile devices for the first time.

We are thrilled to announce that the gemma4-turbo family has officially surpassed 18,800 pulls on the Ollama Hub. This cements our position as the #1 community-optimized build for Google's Gemma 4.

Our IQ4_XS quantization continues to be the preferred choice for users seeking the perfect balance of performance and quality on consumer CPUs.

Additionally, the gemma4-nano model has seen a massive surge in popularity, hitting 1,117 pulls. This confirms the growing demand for AI that can run on extreme edge hardware like mobile phones and low-RAM devices.

Today we are launching the G4 Turbo project. Our goal is simple: to make Google's Gemma 4 models run faster and more efficiently on the hardware you already own.

Starting with the e2b and e4b variants, we are releasing optimized weights that offer up to 51% faster inference speeds compared to stock builds.