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datasets: |
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- OpenAssistant/oasst1 |
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<p><strong><font size="5">Information</font></strong></p> |
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OpenAssistant-Llama-13B-4-bit working with GPTQ versions used in Oobabooga's Text Generation Webui and KoboldAI. |
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<br>This was made using <a href="https://huggingface.co/serpdotai/llama-oasst-lora-13B">Serpdotai's Open Assistant 13b LoRa trained for 4 epochs</a> using Open Assistant's dataset.</p> |
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python llama.py /KoboldAI/repos/gptq/llama13b-oasst-4-epochs-lora c4 --wbits 4 --true-sequential --groupsize 128 --save_safetensors llama13b-oasst-4-epochs-lora-4bit-128g.safetensors |
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<p><strong><font size="5">Benchmarks</font></strong></p> |
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<p><strong><font size="4">--true-sequential --groupsize 128</font></strong></p> |
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<strong>Wikitext2</strong>: 5.380471229553223 |
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<strong>Ptb-New</strong>: 31.921072006225586 |
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<strong>C4-New</strong>: 7.140256881713867 |
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<strong>Note</strong>: This version uses <i>--groupsize 128</i>, resulting in better evaluations. However, it consumes more VRAM. |
