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  # microsoft/Phi-3.5-mini-instruct
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  - ## Introduction
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- This model was created by applying [Quark](https://quark.docs.amd.com/latest/index.html) with calibration samples from Pile dataset, and applying [onnxruntime-genai model builder](https://github.com/microsoft/onnxruntime-genai/tree/main/src/python/py/models) to convert to ONNX.
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  - ## Quantization Strategy
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- - AWQ / Group 128 / Asymmetric / FP32 activations
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  - ## Quick Start
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  For quickstart, refer to AMD [RyzenAI-SW-EA](https://account.amd.com/en/member/ryzenai-sw-ea.html)
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  # microsoft/Phi-3.5-mini-instruct
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  - ## Introduction
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+ This model was created using Quark Quantization, followed by OGA Model Builder, and finalized with post-processing for NPU deployment.
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  - ## Quantization Strategy
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+ - AWQ / Group 128 / Asymmetric / BF16 activations
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  - ## Quick Start
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  For quickstart, refer to AMD [RyzenAI-SW-EA](https://account.amd.com/en/member/ryzenai-sw-ea.html)
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