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license: cc-by-nc-4.0
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license: cc-by-nc-4.0
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I recently ran into this [quantized model of Noromaid](https://huggingface.co/rAIfle/NoroMaid-v0.4-Mixtral-Instruct-8x7b-Zloss-exl2-rpcal) with the "rpcal" term on the end.</br>
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The secret sauce used an [RP data set](https://huggingface.co/datasets/royallab/PIPPA-cleaned) instead of the standard llama dataset to do the quantizing.</br>
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On a test drive, it seemed to make an enormous difference in the quality of the output, so I'm trying to quantify if it does make a significant difference.</br>
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I plan to run a variety of things like [The Sarah Test](https://rentry.org/thesarahtest) to see if I can see any objective differences.</br>
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My favorite model for the past few weeks has been really enjoyable, so I want to see how it compares to this one.</br>
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Favorite: [zaq-hack/Noromaid-v0.4-Mixtral-Instruct-8x7b-Zloss-bpw300-h6-exl2](https://huggingface.co/zaq-hack/Noromaid-v0.4-Mixtral-Instruct-8x7b-Zloss-bpw300-h6-exl2)
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This model: EXL2 @ 3.0 bpw using the RP samples instead of standard calibration.
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I'm just tinkering. All credit to the original creators: Noromaid is hot.
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