Aura v1 LiteRT-LM — Mobile QAT

The mobile-optimized Aura release for supported on-device and edge hardware.

Aura v1 LiteRT-LM is built from Google’s Gemma 4 E4B mobile-QAT checkpoint with the canonical combined Aura adapter baked into the model as floating-point residual branches.

This edition is intended for efficient multimodal deployment through LiteRT-LM on supported mobile and edge devices.

Highlights

• Format: LiteRT-LM
• Foundation: Gemma 4 E4B mobile-QAT
• Adapter: Canonical Aura v1 composite, baked into the graph
• Runtime: LiteRT-LM
• Deployment: Supported mobile and edge hardware
• Focus: Efficient, private, on-device inference

About Aura

Aura is designed for on-device deployment across multiple tasks. Aura can be a companion or friend, as deemed necessary by the user, while also supporting:

• Natural conversation
• Creative writing
• Reasoning
• Image understanding
• Multimodal interaction
• Private and offline workflows

Format Notes

The mobile-QAT base tensors retain their optimized deployment representation. Aura is applied through separate floating-point residual branches rather than being merged directly into the packed base weights.

This approach preserves the intended mobile-QAT conversion path while retaining the behavior of the canonical combined Aura adapter.