Qwen3-VL-2B-Instruct: Optimized for Qualcomm Devices

Qwen3-VL is a vision-language model from Alibaba Cloud capable of understanding both text and images for multimodal reasoning tasks such as visual question answering and image captioning.

This is based on the implementation of Qwen3-VL-2B-Instruct 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 Qwen3-VL-2B-Instruct 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 Qwen3-VL-2B-Instruct 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 Qwen3-VL-2B-Instruct on GitHub for usage instructions.

Model Details

Model Type: Model_use_case.text_generation

Model Stats:

• Model architecture: Transformer with ViT Vision Encoder, Grouped Query Attention (GQA), and SwiGLU activation.
• Supported languages: 100+ languages and dialects
• 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)
Qwen3-VL-2B-Instruct	GENIEX_LLAMACPP	q4_0	Snapdragon® 8 Elite Mobile	512	41.543766	0.46449075 - 1.857963
Qwen3-VL-2B-Instruct	GENIEX_LLAMACPP	q4_0	Snapdragon® 8 Elite Mobile	512	42.711314	0.46647375 - 1.865895
Qwen3-VL-2B-Instruct	GENIEX_LLAMACPP	q4_0	Snapdragon® 8 Elite Mobile	512	34.032126	0.11172275000000001 - 0.44689100000000004
Qwen3-VL-2B-Instruct	GENIEX_LLAMACPP	q4_0	Snapdragon® X2 Elite	512	62.900994	0.1141745 - 0.456698
Qwen3-VL-2B-Instruct	GENIEX_LLAMACPP	q4_0	Snapdragon® X2 Elite	512	64.127228	0.112751 - 0.451004
Qwen3-VL-2B-Instruct	GENIEX_LLAMACPP	q4_0	Snapdragon® X2 Elite	512	23.365032	0.07905475 - 0.316219
Qwen3-VL-2B-Instruct	GENIEX_LLAMACPP	q4_0	Snapdragon® X2 Elite	4096	30.033638	0.23735575 - 7.595384
Qwen3-VL-2B-Instruct	GENIEX_LLAMACPP	q4_0	Snapdragon® X2 Elite	4096	26.100461	0.23745440625 - 7.598541
Qwen3-VL-2B-Instruct	GENIEX_LLAMACPP	q4_0	Snapdragon® X2 Elite	4096	20.902282	0.108134125 - 3.460292
Qwen3-VL-2B-Instruct	GENIEX_LLAMACPP	q4_0	Snapdragon® X Elite	512	21.177916	0.1795745 - 0.718298
Qwen3-VL-2B-Instruct	GENIEX_LLAMACPP	q4_0	Snapdragon® X Elite	512	20.103331	0.18485975 - 0.739439
Qwen3-VL-2B-Instruct	GENIEX_LLAMACPP	q4_0	Snapdragon® X Elite	512	24.308468	0.16061474999999997 - 0.6424589999999999
Qwen3-VL-2B-Instruct	GENIEX_LLAMACPP	q4_0	Snapdragon® X Elite	4096	15.733537	0.43978756249999995 - 14.073201999999998
Qwen3-VL-2B-Instruct	GENIEX_LLAMACPP	q4_0	Snapdragon® X Elite	4096	15.966534	0.46862746875 - 14.996079
Qwen3-VL-2B-Instruct	GENIEX_LLAMACPP	q4_0	Snapdragon® X Elite	4096	11.584063	0.24593868749999998 - 7.870037999999999
Qwen3-VL-2B-Instruct	GENIEX_LLAMACPP	q4_0	Qualcomm® QCS9075	512	1.882364	1.1826937499999999 - 4.7307749999999995
Qwen3-VL-2B-Instruct	GENIEX_LLAMACPP	q4_0	Qualcomm® QCS9075	512	1.878065	1.18503875 - 4.740155
Qwen3-VL-2B-Instruct	GENIEX_LLAMACPP	q4_0	Qualcomm® QCS9075	512	19.881743	0.18957975 - 0.758319

License

• The license for the original implementation of Qwen3-VL-2B-Instruct can be found here.

References

• Qwen3 Technical Report
• Source Model Implementation

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