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Running LLaMA 2 on a Raspberry Pi: Memory-Efficient Edge AI with PIPELOAD

williamzujkowski.github.io · published 15 September 2024

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https://arxiv.org/abs/2409.04249

arxiv.org

https://github.com/openai/human-eval

github.com

Building a Privacy-First AI Lab: Deploying Local LLMs Without Sacrificing Ethics Read at the source ↗

williamzujkowski.github.io

https://ieeexplore.ieee.org/xpl/conhome/1000016/all-proceedings

ieeexplore.ieee.org

AI Meets Edge Computing: Transforming Real-Time Intelligence Read at the source ↗

williamzujkowski.github.io

Local LLM Deployment: Privacy-First Approach Read at the source ↗

williamzujkowski.github.io

https://arxiv.org/abs/2210.17323

arxiv.org

https://pytorch.org/tutorials/recipes/recipes/tuning_guide.html

pytorch.org

https://www.raspberrypi.com/products/raspberry-pi-4-model-b/specifications/

raspberrypi.com

https://ieeexplore.ieee.org/document/9261019

ieeexplore.ieee.org

https://huggingface.co/meta-llama/Llama-2-7b-chat-hf

huggingface.co

https://arxiv.org/abs/1909.08053

arxiv.org

https://arxiv.org/abs/2211.15841

arxiv.org

https://onnxruntime.ai/

onnxruntime.ai

https://www.tensorflow.org/lite

tensorflow.org