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@@ -350,10 +350,9 @@ Very polite review:`,
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<p class="max-w-lg">
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The
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<a href="https://huggingface.co/microsoft/phi-1_5" class="link" target="_blank">Phi-1.5</a> and
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<a href="https://huggingface.co/microsoft/phi-2" class="link" target="_blank">Phi-2</a> models
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state-of-the-art performance with only 1.3 billion and 2.7 billion parameters, compared to larger models with up
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to 13
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billion parameters. Here you can try the quantized versions. Additional prompt examples are
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available in the
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<a href="https://arxiv.org/pdf/2309.05463.pdf#page=8" class="link" target="_blank">
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technical report </a>.
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<p class="max-w-lg">
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The
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<a href="https://huggingface.co/microsoft/phi-1_5" class="link" target="_blank">Phi-1.5</a> and
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<a href="https://huggingface.co/microsoft/phi-2" class="link" target="_blank">Phi-2</a> models achieve
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state-of-the-art performance with only 1.3 billion and 2.7 billion parameters, compared to larger models with up
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to 13 billion parameters. Here you can try the quantized versions. Additional prompt examples are
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available in the
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<a href="https://arxiv.org/pdf/2309.05463.pdf#page=8" class="link" target="_blank">
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technical report </a>.
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