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  <p><strong><font size="5">Information</font></strong></p>
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  GPT4-X-Alpaca 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/chansung/gpt4-alpaca-lora-30b">Chansung's GPT4-Alpaca Lora</a>
 
 
 
 
 
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  <p><strong>GPU/GPTQ Usage</strong></p>
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  <p>To use with your GPU using GPTQ pick one of the .safetensors along with all of the .jsons and .model files.</p>
 
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  <p><strong><font size="5">Information</font></strong></p>
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  GPT4-X-Alpaca 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/chansung/gpt4-alpaca-lora-30b">Chansung's GPT4-Alpaca Lora</a></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 (coming soon)</P>
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+ <P>GGML: 2 quantized versions. One quantized using q4_1, and the other was quantized using q5_0.</P>
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  <p><strong>GPU/GPTQ Usage</strong></p>
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  <p>To use with your GPU using GPTQ pick one of the .safetensors along with all of the .jsons and .model files.</p>