basiliskinstitute
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README.md
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This is Wizard 8x22, quantized to GPTQ with these parameters:
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python3 quant.py alpindale/WizardLM-2-8x22B /workspace/wizard-4bit custom --bits 4 --group_size 128 --desc_act 1 --damp 0.1 --dtype float16 --seqlen 16384 --num_samples 256 --cache_examples 0 --trust_remote_code
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The dataset used was openerotica/erotiquant2. I have included a script to reconstitute the files into one.
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