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jechirst/b
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yugang-amd
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@@ -653,7 +653,7 @@ Click {fab}`github` to go to the component's source code on GitHub.
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<th rowspan="5"></th>
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<th rowspan="5">Development</th>
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<td><a href="https://rocm.docs.amd.com/projects/HIPIFY/en/docs-7.2.0/index.html">HIPIFY</a></td>
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<td>20.0.0 ⇒ <a href="#hipify-22-0-0">22.0.0</td>
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<td>20.0.0 ⇒ <a href="#hipify-22-2-0">22.2.0</td>
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<td><a href="https://github.com/ROCm/HIPIFY/"><i
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class="fab fa-github fa-lg"></i></a></td>
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</tr>
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@@ -130,7 +130,7 @@ After loading the model in this way, the model is fully ready to use the resourc
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torchtune for fine-tuning and inference
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=============================================
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`torchtune <https://meta-pytorch.org/torchtune/main/>`_ is a PyTorch-native library for easy single and multi-GPU
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`torchtune <https://pytorch.org/torchtune/main/>`_ is a PyTorch-native library for easy single and multi-GPU
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model fine-tuning and inference with LLMs.
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#. Install torchtune using pip.
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