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Mer0vin8ian/
Gemma-4-E4B-it

Name: Gemma-4-E4B-it
Availability: InStock

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Gemma-4-E4B-it: Optimized for Qualcomm Devices

Gemma is a family of open models built by Google DeepMind. Gemma 4 models are multimodal, handling text and image input (with audio supported on small models) and generating text output. This release includes open-weights models in both pre-trained and instruction-tuned variants. Gemma 4 features a context window of up to 256K tokens and maintains multilingual support in over 140 languages.

This is based on the implementation of Gemma-4-E4B-it found here. This repository contains pre-exported model files optimized for Qualcomm® devices. You can use the Qualcomm® AI Hub Models library to export with custom configurations. More details on model performance across various devices, can be found here.

Qualcomm AI Hub Models uses Qualcomm AI Hub Workbench to compile, profile, and evaluate this model. Sign up to run these models on a hosted Qualcomm® device.

Deploying Gemma-4-E4B-it on-device

Follow the GenieX quickstart to install GenieX and deploy the model on a target device.

Getting Started

There are two ways to deploy this model on your device:

Option 1: Download Pre-Exported Models

Below are pre-exported model assets ready for deployment.

Runtime	Precision	Chipset	SDK Versions	Download
GENIEX_LLAMACPP	q4_0	Universal		Download

For more device-specific assets and performance metrics, visit Gemma-4-E4B-it on Qualcomm® AI Hub.

Option 2: Export with Custom Configurations

Use the Qualcomm® AI Hub Models Python library to compile and export the model with your own:

Custom weights (e.g., fine-tuned checkpoints)
Custom input shapes
Target device and runtime configurations

This option is ideal if you need to customize the model beyond the default configuration provided here.

See our repository for Gemma-4-E4B-it on GitHub for usage instructions.

Model Details

Model Type: Model_use_case.text_generation

Model Stats:

Model architecture: Mixture-of-Experts (MoE) Transformer with Per-Layer Expert Selection and selective routing.
Supported languages: Multilingual (trained on 140+ languages)
TTFT: Time To First Token is the time it takes to generate the first response token. This is expressed as a range because it varies based on the length of the prompt.
Response Rate: Rate of response generation after the first response token.

Performance Summary

Model	Runtime	Precision	Chipset	Context Length	Response Rate (tokens per second)	Time To First Token (range, seconds)
Gemma-4-E4B-it	GENIEX_LLAMACPP	q4_0	Snapdragon® 8 Elite Gen 5 Mobile	512	17.905892	1.12984925 - 4.519397
Gemma-4-E4B-it	GENIEX_LLAMACPP	q4_0	Snapdragon® 8 Elite Gen 5 Mobile	512	17.771069	1.2465307499999998 - 4.986122999999999
Gemma-4-E4B-it	GENIEX_LLAMACPP	q4_0	Snapdragon® 8 Elite Gen 5 Mobile	512	16.824563	0.195887 - 0.783548
Gemma-4-E4B-it	GENIEX_LLAMACPP	q4_0	Snapdragon® 8 Elite Gen 5 Mobile	4096	13.347809	2.2231766250000002 - 71.14165200000001
Gemma-4-E4B-it	GENIEX_LLAMACPP	q4_0	Snapdragon® 8 Elite Gen 5 Mobile	4096	11.701253	2.24031025 - 71.689928
Gemma-4-E4B-it	GENIEX_LLAMACPP	q4_0	Snapdragon® 8 Elite Gen 5 Mobile	4096	13.26779	0.26545246875 - 8.494479
Gemma-4-E4B-it	GENIEX_LLAMACPP	q4_0	Snapdragon® 8 Elite Mobile	512	17.234032	1.26287975 - 5.051519
Gemma-4-E4B-it	GENIEX_LLAMACPP	q4_0	Snapdragon® 8 Elite Mobile	512	16.777481	1.35680775 - 5.427231
Gemma-4-E4B-it	GENIEX_LLAMACPP	q4_0	Snapdragon® 8 Elite Mobile	512	16.021655	0.1988185 - 0.795274
Gemma-4-E4B-it	GENIEX_LLAMACPP	q4_0	Snapdragon® 8 Elite Mobile	4096	12.238845	2.3695864375 - 75.826766
Gemma-4-E4B-it	GENIEX_LLAMACPP	q4_0	Snapdragon® 8 Elite Mobile	4096	12.105188	2.42485496875 - 77.595359
Gemma-4-E4B-it	GENIEX_LLAMACPP	q4_0	Snapdragon® 8 Elite Mobile	4096	12.358648	0.29968165625 - 9.589813
Gemma-4-E4B-it	GENIEX_LLAMACPP	q4_0	Snapdragon® X2 Elite	512	23.827865	0.6804272499999999 - 2.7217089999999997
Gemma-4-E4B-it	GENIEX_LLAMACPP	q4_0	Snapdragon® X2 Elite	512	25.136049	0.729007 - 2.916028
Gemma-4-E4B-it	GENIEX_LLAMACPP	q4_0	Snapdragon® X2 Elite	512	20.846358	0.14691300000000002 - 0.5876520000000001
Gemma-4-E4B-it	GENIEX_LLAMACPP	q4_0	Snapdragon® X2 Elite	4096	12.013094	1.25067746875 - 40.021679
Gemma-4-E4B-it	GENIEX_LLAMACPP	q4_0	Snapdragon® X2 Elite	4096	13.238633	1.14075040625 - 36.504013
Gemma-4-E4B-it	GENIEX_LLAMACPP	q4_0	Snapdragon® X2 Elite	4096	17.911474	0.19384078124999998 - 6.2029049999999994
Gemma-4-E4B-it	GENIEX_LLAMACPP	q4_0	Snapdragon® X Elite	512	20.525636	0.53967775 - 2.158711
Gemma-4-E4B-it	GENIEX_LLAMACPP	q4_0	Snapdragon® X Elite	512	19.702914	0.6135875 - 2.45435
Gemma-4-E4B-it	GENIEX_LLAMACPP	q4_0	Snapdragon® X Elite	512	11.882264	0.35202125 - 1.408085
Gemma-4-E4B-it	GENIEX_LLAMACPP	q4_0	Snapdragon® X Elite	4096	11.823266	0.80318884375 - 25.702043
Gemma-4-E4B-it	GENIEX_LLAMACPP	q4_0	Snapdragon® X Elite	4096	8.192524	0.93255509375 - 29.841763
Gemma-4-E4B-it	GENIEX_LLAMACPP	q4_0	Snapdragon® X Elite	4096	10.034623	0.4641780625 - 14.853698
Gemma-4-E4B-it	GENIEX_LLAMACPP	q4_0	Qualcomm® Dragonwing™ IQ-9075	512	13.439978	1.7480915 - 6.992366
Gemma-4-E4B-it	GENIEX_LLAMACPP	q4_0	Qualcomm® Dragonwing™ IQ-9075	512	13.431804	1.75437625 - 7.017505
Gemma-4-E4B-it	GENIEX_LLAMACPP	q4_0	Qualcomm® Dragonwing™ IQ-9075	512	8.859328	0.3919085 - 1.567634
Gemma-4-E4B-it	GENIEX_LLAMACPP	q4_0	Qualcomm® Dragonwing™ IQ-9075	4096	10.071341	2.1266885312499997 - 68.05403299999999
Gemma-4-E4B-it	GENIEX_LLAMACPP	q4_0	Qualcomm® Dragonwing™ IQ-9075	4096	10.054127	2.0949564375 - 67.038606
Gemma-4-E4B-it	GENIEX_LLAMACPP	q4_0	Qualcomm® Dragonwing™ IQ-9075	4096	7.626485	0.5007065625 - 16.02261

License

The license for the original implementation of Gemma-4-E4B-it can be found here.

References

Community

Join our AI Hub Slack community to collaborate, post questions and learn more about on-device AI.
For questions or feedback please reach out to us.

Usage and Limitations

This model may not be used for or in connection with any of the following applications:

Accessing essential private and public services and benefits;
Administration of justice and democratic processes;
Assessing or recognizing the emotional state of a person;
Biometric and biometrics-based systems, including categorization of persons based on sensitive characteristics;
Education and vocational training;
Employment and workers management;
Exploitation of the vulnerabilities of persons resulting in harmful behavior;
General purpose social scoring;
Law enforcement;
Management and operation of critical infrastructure;
Migration, asylum and border control management;
Predictive policing;
Real-time remote biometric identification in public spaces;
Recommender systems of social media platforms;
Scraping of facial images (from the internet or otherwise); and/or
Subliminal manipulation

Mer0vin8ian/Gemma-4-E4B-it