Key Resources

AIMET Home Page
AI Model Efficiency Toolkit (AIMET) Qualcomm Innovation Center home page

Forum for developers’ questions on AIMET

AIMET GitHub Repo
Repo from which you can download AIMET

AIMET videos
Educational and instructional videos for developers

Contribute to AIMET
Learn how to contribute bug fixes, new features, extensions, or utility functions

Good first issues
Get started working with AIMET through this handy list of first suggested issues

AIMET Model Zoo
Collection of popular pre-trained models optimized for 8-bit inference

Intelligence at scale through AI model efficiency
Presentation on neural network optimization that includes an overview of AIMET

Enabling power-efficient AI through quantization
Presentation on several different quantization approaches.

Tutorial Videos

Model Quantization for Edge Devices with AIMET
In this demo, Abhijit Khobare, Director of Software Engineering at Qualcomm Technologies, Inc. shows why AIMET is an important tool for developers working with edge devices, the benefits of quantization, the capabilities of the toolkit, and the ease of applying the quantization techniques in AIMET.

Blog Posts and Additional Resources

Open sourcing the AI Model Efficiency Toolkit
What’s new with our AI Open Source: AIMET enhancements and code from papers
Neural Network Optimization with AIMET
PyTorch Community Voices (Video): AI Model Efficiency Toolkit (AIMET)

AIMET and AIMET Model Zoo are products of Qualcomm Innovation Center, Inc.