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- <p><strong>Information</strong></p>
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- Alpaca 30B 4-bit. It's working with the newest GPTQ. Quantized using --true-sequential and --act-order optimizations.
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-
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  This was made using Chansung's 30B Alpaca Lora: https://huggingface.co/chansung/alpaca-lora-30b
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- <p><strong>Benchmarks</strong></p>
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- Wikitext2: 4.58
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- Ptb: 7.71
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- C4: 6.32
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- Note: This version does not use grouping, therefore evaluations are minimally higher. However, this version allows fitting the whole model at full context using only 24GB VRAM
 
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+ <p><strong><font size="5">Information</font></strong></p>
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+ Alpaca 30B 4-bit working with the newest GPTQ.
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+ <p>Quantized using <i>--true-sequential</i> and <i>--act-order</i> optimizations.</p>
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  This was made using Chansung's 30B Alpaca Lora: https://huggingface.co/chansung/alpaca-lora-30b
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+ <p><strong><font size="5">Benchmarks</font></strong></p>
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+ <strong>Wikitext2</strong>: 4.58
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+ <strong>Ptb</strong>: 7.71
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+ <strong>C4</strong>: 6.32
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+ <strong>Note</strong>: This version does not use <i>group size 128</i>, therefore evaluations are minimally higher. As a result, this version allows fitting the whole model at full context using only 24GB VRAM.