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Articles

Day 0 Support for Gemma 4 on AMD Processors and GPUs

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By Niles Burbank, Andy Luo, Rajeev Patwari
| amd.com
What’s New in Gemma 4? The Gemma 4 family of open-weights models from Google includes four variants, spanning a range of sizes from 2B effective parameters to 31B parameters and including both Mixture of Experts (MoE) and dense architectures. These multimodal models ingest text, vision, and for select variants, audio inputs and generate text outputs.
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PyTorch for AMD ROCm™ Platform now available as Python package

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By Niles Burbank, Mayank Daga
| community.amd.com
By Niles Burbank – Director PM at AMD, Mayank Daga – Director, Deep Learning Software at AMD, and Woo Kim – Product Marketing Manager for PyTorch at Facebook With the PyTorch 1.8 release, we are delighted to announce a new installation option for users of PyTorch on the ROCm™ open software platform.
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