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--- |
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license: mit |
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language: |
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- en |
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- fr |
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base_model: |
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- microsoft/Phi-3-mini-4k-instruct |
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pipeline_tag: text-generation |
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tags: |
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- nlp |
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- code |
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- onnx |
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- amd |
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--- |
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# microsoft/Phi-3-mini-4k-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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- ***Quantized Layers***: TBD |
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- ***Weight***: TBD |
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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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#### Evaluation scores |
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The perplexity measurement is run on the wikitext-2-raw-v1 (raw data) dataset provided by Hugging Face. Perplexity score measured for prompt length 2k is 6.988726. |
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#### License |
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Modifications copyright(c) 2024 Advanced Micro Devices,Inc. All rights reserved. |
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license: mit |
