🚀Explore how PyTorch models can be exported and lowered to the ExecuTorch Runtime for more effective, lightweight, minimalist inference at the Edge. Covers deploying to CPUs, particularly via the X…
Hands-on course materials for ML engineers to master extreme model quantization and on-device LLM deployment: PyTorch, llama.cpp, Android (educational)
Arm Developer Labs is a collection of industry-relevant projects. Our projects are aimed at computer science students and developers alike. Have a go and you can potentially land a position at Arm!
Arm Developer Labs is a collection of industry-relevant projects. Our projects are aimed at computer science students and developers alike. Have a go and you can potentially land a position at Arm!
arm-education/Arm-Developer-Labs's past year of commit activity
🚀Explore how PyTorch models can be exported and lowered to the ExecuTorch Runtime for more effective, lightweight, minimalist inference at the Edge. Covers deploying to CPUs, particularly via the XNNPACK backend, for transformer-based and CNN models, before covering deployment to the Ethos-U backend, the TOSA IR, FVPs, and Google Model Explorer.🚀
This repository contains model artifacts used by Arm Learning Paths that teach model analysis, graph inspection, deployment-artifact inspection, and target-aware ML workflow concepts.
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