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‎cpu/2.5.0+cpu/_sources/tutorials/examples.md.txt

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## Intel® AI Reference Models
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Use cases that have already been optimized by Intel engineers are available at [Intel® AI Reference Models](https://github.com/IntelAI/models/tree/pytorch-r2.3-models) (former Model Zoo).
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A number of PyTorch use cases for benchmarking are also available in the [benchmarks](https://github.com/IntelAI/models/tree/pytorch-r2.3-models/benchmarks#pytorch-use-cases).
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Use cases that have already been optimized by Intel engineers are available at [Intel® AI Reference Models](https://github.com/intel/ai-reference-models/tree/pytorch-r2.5-models) (former Model Zoo).
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The lists of PyTorch use cases with links to sample codes are available in the [use case tables](https://github.com/intel/ai-reference-models/tree/pytorch-r2.5-models?tab=readme-ov-file#use-cases).
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You can get performance benefits out-of-the-box by simply running scripts in the Intel® AI Reference Models.

‎cpu/2.5.0+cpu/_sources/tutorials/llm.rst.txt

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`ipex.llm` Optimized Model List for Inference
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Verified for single instance mode
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

‎cpu/2.5.0+cpu/_static/js/versions.js

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‎cpu/2.5.0+cpu/design_doc/cpu/isa_dyndisp.html

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‎cpu/2.5.0+cpu/genindex.html

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‎cpu/2.5.0+cpu/index.html

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‎cpu/2.5.0+cpu/py-modindex.html

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‎cpu/2.5.0+cpu/searchindex.js

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‎cpu/2.5.0+cpu/tutorials/api_doc.html

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