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Pinned LoadingAIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
The Qualcomm® AI Hub Models are a collection of state-of-the-art machine learning models optimized for performance (latency, memory etc.) and ready to deploy on Qualcomm® devices.
This library empowers users to seamlessly port pretrained models and checkpoints on the HuggingFace (HF) hub (developed using HF transformers library) into inference-ready formats that run efficien…
Gunyah is a Type-1 hypervisor designed for strong security, performance and modularity.
Qualcomm Cloud AI SDK (Platform and Apps) enable high performance deep learning inference on Qualcomm Cloud AI platforms delivering high throughput and low latency across Computer Vision, Object De…
AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
quic/aimet’s past year of commit activityThe Qualcomm® AI Hub Models are a collection of state-of-the-art machine learning models optimized for performance (latency, memory etc.) and ready to deploy on Qualcomm® devices.
quic/ai-hub-models’s past year of commit activity Python 767 BSD-3-Clause 129 7 2 Updated Aug 15, 2025QAI AppBuilder is designed to help developers easily execute models on WoS and Linux platforms. It encapsulates the Qualcomm® AI Runtime SDK APIs into a set of simplified interfaces for running models on the NPU/HTP.
quic/ai-engine-direct-helper’s past year of commit activity C++ 63 12 2 2 Updated Aug 14, 2025This library empowers users to seamlessly port pretrained models and checkpoints on the HuggingFace (HF) hub (developed using HF transformers library) into inference-ready formats that run efficiently on Qualcomm Cloud AI 100 accelerators.
quic/efficient-transformers’s past year of commit activity Python 74 50 1 31 Updated Aug 14, 2025You can’t perform that action at this time.
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