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IHaBiS/SolarMaid-v0.1.1-exl2
SolarMaid-v0.1.1-exl2 is a machine learning model from IHaBiS. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as cc-by-nc-4.0.
3bh8 : 3bpw h8 3.5bh8 : 3.5bpw h8 3.8bh8 : 3.8bpw h8 4bh8 : 4bpw h8 6bh8 : 6bpw h8 8bh8 : 8bpw h8
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From the Hugging Face model README
3bh8 : 3bpw h8
3.5bh8 : 3.5bpw h8
3.8bh8 : 3.8bpw h8
4bh8 : 4bpw h8
6bh8 : 6bpw h8
8bh8 : 8bpw h8
Using ThePile 0007.parquet as dataset
Quantization settings : python convert.py -i models/Undi95_SolarMaid-v0.1.1 -o SolarMaid-v0.1.1-temp -cf SolarMaid-v0.1.1-8bpw-h8-exl2 -c 0007.parquet -l 8192 -b 8 -hb 8 -ml 8192
python convert.py -i models/Undi95_SolarMaid-v0.1.1 -o SolarMaid-v0.1.1-temp2 -cf SolarMaid-v0.1.1-6bpw-h8-exl2 -c 0007.parquet -l 8192 -b 6 -hb 8 -m SolarMaid-v0.1.1-temp/measurement.json -ml 8192
python convert.py -i models/Undi95_SolarMaid-v0.1.1 -o SolarMaid-v0.1.1-temp3 -cf SolarMaid-v0.1.1-4bpw-h8-exl2 -c 0007.parquet -l 8192 -b 4 -hb 8 -m SolarMaid-v0.1.1-temp/measurement.json -ml 8192
python convert.py -i models/Undi95_SolarMaid-v0.1.1 -o SolarMaid-v0.1.1-temp4 -cf SolarMaid-v0.1.1-3bpw-h8-exl2 -c 0007.parquet -l 8192 -b 3.8 -hb 8 -m SolarMaid-v0.1.1-temp/measurement.json -ml 8192
python convert.py -i models/Undi95_SolarMaid-v0.1.1 -o SolarMaid-v0.1.1-temp5 -cf SolarMaid-v0.1.1-2.4bpw-h8-exl2 -c 0007.parquet -l 8192 -b 3.5 -hb 8 -m SolarMaid-v0.1.1-temp/measurement.json -ml 8192
python convert.py -i models/Undi95_SolarMaid-v0.1.1 -o SolarMaid-v0.1.1-temp5 -cf SolarMaid-v0.1.1-2.4bpw-h8-exl2 -c 0007.parquet -l 8192 -b 3 -hb 8 -m SolarMaid-v0.1.1-temp/measurement.json -ml 8192
SolarMaid is a model made primarely for ERP (Erotic Roleplay) without being too dumb, it use 40 out of 48 layers of "SOLAR Instruct 10.7B", and 32 out of 32 layers of "Noromaid 7B v0.1.1".
Despite being a little unstable, benchmark stay high, and can output some hot sh*t.
I'm working on making it more stable.
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