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  <p><strong><font size="5">Information</font></strong></p>
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  OpenAssistant-Llama-30B-4-bit working with GPTQ versions used in Oobabooga's Text Generation Webui and KoboldAI.
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- <p>There are 3 quantized versions, one is quantized using GPTQ's <i>--true-sequential</i> and <i>--act-order</i> optimizations, the second is quantized using GPTQ's <i>--true-sequential</i> and <i>--groupsize 128</i> optimization, and the third one is quantized for GGML using q4_1</p>
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- This was made using <a href="https://huggingface.co/OpenAssistant/oasst-sft-7-llama-30b-xor">Open Assistant's native fine-tune</a> of Llama 30b on their dataset.</p>
 
 
 
 
 
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  <p><strong><font size="5">Update 05.19.2023</font></strong></p>
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  <p>Updated the ggml quantizations to be compatible with the latest version of llamacpp.</p>
 
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  <p><strong><font size="5">Information</font></strong></p>
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  OpenAssistant-Llama-30B-4-bit working with GPTQ versions used in Oobabooga's Text Generation Webui and KoboldAI.
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+ <p>This was made using <a href="https://huggingface.co/OpenAssistant/oasst-sft-7-llama-30b-xor">Open Assistant's native fine-tune</a> of Llama 30b on their dataset.</p>
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+ <p><strong>What's included</strong></p>
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+ <P>GPTQ: 2 quantized versions. One quantized --true-sequential and act-order optimizations, and the other was quantized using --true-sequential --groupsize 128 optimizations</P>
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+ <P>GGML: 3 quantized versions. One quantized using q4_1, another one was quantized using q5_0, and the last one was quantized using q5_1.</P>
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  <p><strong><font size="5">Update 05.19.2023</font></strong></p>
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  <p>Updated the ggml quantizations to be compatible with the latest version of llamacpp.</p>