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OpenAssistant-Llama-30b-4bit

Text Generation
Transformers
PyTorch
llama
Inference Endpoints
text-generation-inference
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Update README.md

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@@ -8,8 +8,8 @@ OpenAssistant-Llama-30B-4-bit working with GPTQ versions used in Oobabooga's Tex
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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>
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  <p><strong><font size="5">Update 04.29.2023</font></strong></p>
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  <p>Updated to the latest fine-tune by Open Assistant <a href="https://huggingface.co/OpenAssistant/oasst-sft-7-llama-30b-xor">oasst-sft-7-llama-30b-xor</a>.</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 05.27.2023</font></strong></p>
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+ <p>Updated the ggml quantizations to be compatible with the latest version of llamacpp (again).</p>
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  <p><strong><font size="5">Update 04.29.2023</font></strong></p>
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  <p>Updated to the latest fine-tune by Open Assistant <a href="https://huggingface.co/OpenAssistant/oasst-sft-7-llama-30b-xor">oasst-sft-7-llama-30b-xor</a>.</p>