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Qualcomm Supported Models

Comprehensive list of AI models optimized for Qualcomm Snapdragon processors using QNN runtime

These models are optimized for Qualcomm Snapdragon processors and leverage the Qualcomm Neural Network (QNN) SDK for enhanced performance on Qualcomm hardware including CPUs, GPUs, and NPUs.

Qualcomm Optimization Features

Key benefits of Qualcomm-optimized models

Performance Benefits

• Optimized for Qualcomm Snapdragon architectures
• Enhanced inference speed with QNN runtime
• Power-efficient execution on mobile and edge devices
• Hardware-specific optimizations for Hexagon DSP and Adreno GPU

Supported Hardware

• Qualcomm Snapdragon processors
• Hexagon Digital Signal Processors (DSP)
• Adreno GPUs
• Qualcomm AI Engine and NPUs

Qualcomm Supported Models

Complete catalog of models optimized for Qualcomm processors

Model Type	Available Models
Qwen Models	`qwen-2.5-14b-instruct` `qwen2.5-32b` `qwen2-7B-instruct` `qwen2.5-7b-coder` `qwen-2-0.5b-instruct` `qwen2-1.5-instruct` `bling-qwen-0.5b` `bling-qwen-1.5b`
Llama-Based Models	`llama-3.2-3b-onnx-qnn` `llama-3.2-3b-instruct-onnx` `llama-2-chat` `llama-3.1-instruct` `llama-3.2-ib-instruct` `tiny-llama-chat` `bling-tiny-llama` `llama-2-7b-chat` `llama-3.2-1b-instruct` `llama-3-8b-instruct`
Phi Models	`phi-3.5` `phi-3-vision` `phi-3` `bling-phi-3` `bling-phi-3.5`
Mistral Models	`mistral-7b-instruct-v0.3` `openhermes-2.5-mistral`
Gemma Models	`gemma-2b-it` `gemma-2-9b-instruct` `gemma-2-27b-instruct`
Dragon Models	`dragon-mistral-0.3` `dragon-llama-3.1` `dragon-yi-answer-tool` `dragon-llama-answer-tool` `dragon-mistral-answer-tool` `dragon-yi-9b` `dragon-qwen-7b`
Slim Models	`slim-extract-phi-3` `slim-boolean-phi-3` `slim-summary-phi-3` `slim-emotions` `slim-topics` `slim-sql` `slim-summary-tiny` `slim-sentiment` `slim-extract-tiny` `slim-intent` `slim-tags` `slim-ratings` `slim-ner` `slim-extract-qwen-nano` `slim-sa-ner-phi-3` `slim-xsum-phi-3` `slim-sentiment-tool` `slim-extract-tool` `slim-summary-tool` `slim-boolean-tool` `slim-tags-tool` `slim-xsum-tool` `slim-emotions-tool` `slim-topics-tool` `slim-sql-tool` `slim-extract-qwen-1.5b` `slim-ner-tool` `slim-sa-ner-tool` `slim-tags-3b-tool` `slim-extract-tiny-tool` `slim-ratings-tool` `slim-intent-tool` `slim-category-tool` `slim-nli-tool` `slim-q-gen-phi-3-tool` `slim-summary-tiny-tool` `slim-qa-gen-phi-3-tool` `slim-qa-gen-tiny-tool`
StableLM Models	`bling-stablelm-3b`
Jina Models	`jina-reranker-turbo` `jina-reranker-tiny`
Specialized Models	`unitary-unbiased-toxic-roberta` `valurank-distilroberta-bias`
Other Models	`protectai-prompt-injection` `zephyr-7b-beta` `starling-1m-7b-alpha` `miniCPM-V-2_6` `bling-answer-tool`

Getting Started with Qualcomm Models

To use Qualcomm-optimized models in Model HQ:

Ensure you have a Qualcomm Snapdragon processor with QNN support
Select models optimized for Qualcomm from the Models section
The system will automatically use Qualcomm optimizations when available
Monitor performance improvements and power efficiency

Technical Support

For Qualcomm-specific optimization questions or issues, contact our technical support team at support@aibloks.com

🚀 Performance Tip

Qualcomm-optimized models are designed for efficient mobile and edge computing. They provide excellent performance while maintaining low power consumption for extended battery life.

Check System Requirements