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![Ampere AI](https://ampereaimodelzoo.s3.eu-central-1.amazonaws.com/ampere_logo_®_primary_stacked_rgb.png "Ampere AI")
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# Ampere Model Library
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![CI tests](https://github.com/github/docs/actions/workflows/test.yml/badge.svg)
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![TF Pulls](https://img.shields.io/docker/pulls/amperecomputingai/tensorflow?logo=tensorflow&label=TensorFlow&labelColor=%23e6cc00&color=%23e69b00&link=https%3A%2F%2Fhub.docker.com%2Fr%2Famperecomputingai%2Ftensorflow)
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![TF pull count](https://img.shields.io/docker/pulls/amperecomputingai/tensorflow?logo=tensorflow&label=TensorFlow&labelColor=%23e6cc00&color=%23e69b00&link=https%3A%2F%2Fhub.docker.com%2Fr%2Famperecomputingai%2Ftensorflow)
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![ORT pull count](https://img.shields.io/docker/pulls/amperecomputingai/onnxruntime?logo=onnx&logoColor=black&label=ONNXRT&labelColor=%23e5e5e5&color=%23cccccc&link=https%3A%2F%2Fhub.docker.com%2Fr%2Famperecomputingai%2Fonnxruntime)
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![llama.cpp pull count](https://img.shields.io/docker/pulls/amperecomputingai/llama.cpp?logo=meta&logoColor=black&label=llama.cpp&labelColor=violet&color=purple)
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AML's goal is to make benchmarking of various AI architectures on Ampere CPUs a pleasurable experience :)
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