初始化项目，由ModelHub XC社区提供模型

Model: Undi95/OpenRP-13B
Source: Original Platform

README.md

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+---
+license: cc-by-nc-4.0
+tags:
+- not-for-all-audiences
+- nsfw
+---
+[HIGHLY EXPERIMENTAL]
+
+Just try it for a good laugh. Need testing.
+```shell
+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](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
+Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_Undi95__OpenRP-13B)
+
+| 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         |