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README.md
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<p><strong>Information</strong></p>
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Alpaca 30B 4-bit
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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
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Ptb
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C4
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Note
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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.
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