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  <h2>Quants:</h2>
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  <p>(Thanks to <a href="https://huggingface.co/mradermacher">@Mradermacher!</a>, please send them likes and follows!)</p>
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  <p><a href="https://huggingface.co/mradermacher/L3-MS-Astoria-70b-GGUF">L3-MS-Astoria-70b-GGUF (GGUFs)</a></p>
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- <p><h2> ExLlamaV2 Quantization by UnstableLlama </h2></p>
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-
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- [5.00 bits per weight in main](https://huggingface.co/UnstableLlama/Xwin-LM-13B-V0.2-exl2/tree/main)
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-
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- [3.00 bits per weight branch](https://huggingface.co/UnstableLlama/Xwin-LM-13B-V0.2-exl2/tree/3bpw)
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  <p></p>
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  <h3>Config:</h3>
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  <pre><code>MODEL_NAME = "L3-MS-Astoria-70b"
 
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  <h2>Quants:</h2>
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  <p>(Thanks to <a href="https://huggingface.co/mradermacher">@Mradermacher!</a>, please send them likes and follows!)</p>
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  <p><a href="https://huggingface.co/mradermacher/L3-MS-Astoria-70b-GGUF">L3-MS-Astoria-70b-GGUF (GGUFs)</a></p>
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+ <p>ExLlamaV2 Quantization by UnstableLlama </p>
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+ <p>[5.00 bits per weight in main](https://huggingface.co/UnstableLlama/Xwin-LM-13B-V0.2-exl2/tree/main)</p>
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+ <p>[3.00 bits per weight branch](https://huggingface.co/UnstableLlama/Xwin-LM-13B-V0.2-exl2/tree/3bpw)</p>
 
 
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  <p></p>
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  <h3>Config:</h3>
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  <pre><code>MODEL_NAME = "L3-MS-Astoria-70b"