Phi-3.5-Mini-Instruct: Optimized for Qualcomm Devices

Phi-3.5-mini is a lightweight, state-of-the-art open model built upon datasets used for Phi-3 - synthetic data and filtered publicly available websites - with a focus on very high-quality, reasoning dense data. The model belongs to the Phi-3 model family and supports 128K token context length. The model underwent a rigorous enhancement process, incorporating both supervised fine-tuning, proximal policy optimization, and direct preference optimization to ensure precise instruction adherence and robust safety measures.

This is based on the implementation of Phi-3.5-Mini-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.

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Deploying Phi-3.5-mini-instruct on-device

Please follow the LLM on-device deployment tutorial.

Getting Started

Download pre-exported model assets from Phi-3.5-Mini-Instruct on Qualcomm® AI Hub.

Model Details

Model Type: Model_use_case.text_generation

Model Stats:

• Input sequence length for Prompt Processor: 128
• Context length: 4096
• Number of parameters: 3.8B
• Precision: w4a16 + w8a16 (few layers)
• 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. The lower bound is for a short prompt (up to 128 tokens, i.e., one iteration of the prompt processor) and the upper bound is for a prompt using the full context length (4096 tokens).
• 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)
Phi-3.5-Mini-Instruct	QNN_CONTEXT_BINARY	w4a16	Snapdragon® 8 Elite Mobile	4096	14.73	0.1195948 - 3.8270336
Phi-3.5-Mini-Instruct	QNN_CONTEXT_BINARY	w4a16	Snapdragon® X Elite	4096	6.2	0.185833 - 5.946656
Phi-3.5-Mini-Instruct	QNN_CONTEXT_BINARY	w4a16	Snapdragon® 8 Gen 3 Mobile	4096	13.01	0.1469056 - 4.7009792

License

• The license for the original implementation of Phi-3.5-Mini-Instruct can be found here.

References

• Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone
• 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