Update README.md
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README.md
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- nsfw
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---
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- nsfw
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---
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First :
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```shell
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layer_slices:
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- model: Undi95/MLewd-L2-Chat-13B
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start: 0
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end: 16
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- model: Undi95/MLewd-ReMM-L2-Chat-20B-Part1
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start: 8
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end: 20
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- model: Undi95/MLewd-L2-Chat-13B
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start: 17
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end: 32
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- model: Undi95/MLewd-ReMM-L2-Chat-20B-Part1
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start: 21
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end: 40
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```
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Inverted:
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```shell
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layer_slices:
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- model: Undi95/MLewd-ReMM-L2-Chat-20B-Part1
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start: 0
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end: 16
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- model: Undi95/MLewd-L2-Chat-13B
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start: 8
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end: 20
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- model: Undi95/MLewd-ReMM-L2-Chat-20B-Part1
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start: 17
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end: 32
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- model: Undi95/MLewd-L2-Chat-13B
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start: 21
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end: 40
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```
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Precise:
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```shell
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layer_slices:
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- model: Undi95/MLewd-L2-Chat-13B
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start: 0
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end: 8
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- model: Undi95/MLewd-ReMM-L2-Chat-20B-Part1
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start: 4
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end: 12
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- model: Undi95/MLewd-L2-Chat-13B
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start: 9
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end: 16
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- model: Undi95/MLewd-ReMM-L2-Chat-20B-Part1
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start: 13
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end: 22
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- model: Undi95/MLewd-L2-Chat-13B
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start: 17
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end: 24
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- model: Undi95/MLewd-ReMM-L2-Chat-20B-Part1
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start: 23
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end: 32
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- model: Undi95/MLewd-L2-Chat-13B
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start: 25
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end: 32
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- model: Undi95/MLewd-ReMM-L2-Chat-20B-Part1
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start: 33
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end: 40
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```
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PreciseInverted:
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```shell
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layer_slices:
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- model: Undi95/MLewd-ReMM-L2-Chat-20B-Part1
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start: 0
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end: 8
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- model: Undi95/MLewd-L2-Chat-13B
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start: 4
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end: 12
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- model: Undi95/MLewd-ReMM-L2-Chat-20B-Part1
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start: 9
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end: 16
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- model: Undi95/MLewd-L2-Chat-13B
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start: 13
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end: 22
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- model: Undi95/MLewd-ReMM-L2-Chat-20B-Part1
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start: 17
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end: 24
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- model: Undi95/MLewd-L2-Chat-13B
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start: 23
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end: 32
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- model: Undi95/MLewd-ReMM-L2-Chat-20B-Part1
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start: 25
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end: 32
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- model: Undi95/MLewd-L2-Chat-13B
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start: 33
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end: 40
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```
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Part1 = ReMM v2.1 merged /w MLewd low weight to keep consistency. I call this "dilution" and result show consistency and coherency without repeat/loop beside the small amount of duplicated datas.
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The goal is to find the best way to interlace layers the best way possible to have a sweetspot between 13B and +30B.
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Normal/Inverted is by chunk of 16 layers and Precise/PreciseInverted is by chunk of 8 layers.
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All the models are made of 64(+1) layers. Need testing.
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