[HIGHLY EXPERIMENTAL]

Just try it for a good laugh. Need testing.

The plan :
Open-Orca/OpenOrcaxOpenChat-Preview2-13B
PygmalionAI/pygmalion-2-13b

Undi95/MLewd-L2-13B-v2-3
jondurbin/spicyboros-13b-2.2

lemonilia/limarp-llama2-v2

Step 1: Merge OpenOrcaxOpenChat-Preview2-13B with pygmalion-2-13b 
=> OpenOrcaPyg2
Step 2: Merge MLewd with Spicyboros
=> MLewdBorosPlus
Step 3: In the layer side, replace the layer 0 to 8 with MLewd, and the layer 16 to 20 with Spicyboros of the first merge
=> OpenOrcaPyg2-Layered
Step 4: In the layer side, replace the layer 0 to 8 with MLewd, and the layer 16 to 20 with Spicyboros of the second merge
=> MLewdBorosPlus-Layered
Step 5: Merge OpenOrcaPyg2-Layered with MLewdBorosPlus-Layered
=> OpenRPBase
Step 6: Apply Limarp2 at 0.5 weight at the end
=> OpenRP

Goal: making Orca a RP model with Pyg2 dataset and MLewd+Spicyboros 100% layer accross the merge and avoid censoring
It will be diluted to ~25% in other layer, SLERP do the dirty job 
The LoRA is here to redirect to RP writing

Don't ask me why this model work. I'm a blind scientist. It seems a little obsessed with the game "Garry's mod" tho. Be patient with him. SuperCOT applied : https://huggingface.co/Undi95/OpenRP-13B-SuperCOT

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric Value
Avg. 53.25
ARC (25-shot) 62.12
HellaSwag (10-shot) 82.6
MMLU (5-shot) 57.5
TruthfulQA (0-shot) 48.29
Winogrande (5-shot) 76.01
GSM8K (5-shot) 12.89
DROP (3-shot) 33.38
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