53 lines
1.9 KiB
Markdown
53 lines
1.9 KiB
Markdown
---
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license: cc-by-nc-4.0
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tags:
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- not-for-all-audiences
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- nsfw
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---
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[HIGHLY EXPERIMENTAL]
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Just try it for a good laugh. Need testing.
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```shell
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The plan :
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Open-Orca/OpenOrcaxOpenChat-Preview2-13B
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PygmalionAI/pygmalion-2-13b
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Undi95/MLewd-L2-13B-v2-3
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jondurbin/spicyboros-13b-2.2
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lemonilia/limarp-llama2-v2
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Step 1: Merge OpenOrcaxOpenChat-Preview2-13B with pygmalion-2-13b
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=> OpenOrcaPyg2
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Step 2: Merge MLewd with Spicyboros
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=> MLewdBorosPlus
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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
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=> OpenOrcaPyg2-Layered
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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
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=> MLewdBorosPlus-Layered
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Step 5: Merge OpenOrcaPyg2-Layered with MLewdBorosPlus-Layered
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=> OpenRPBase
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Step 6: Apply Limarp2 at 0.5 weight at the end
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=> OpenRP
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Goal: making Orca a RP model with Pyg2 dataset and MLewd+Spicyboros 100% layer accross the merge and avoid censoring
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It will be diluted to ~25% in other layer, SLERP do the dirty job
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The LoRA is here to redirect to RP writing
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```
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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.
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SuperCOT applied : https://huggingface.co/Undi95/OpenRP-13B-SuperCOT
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# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
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Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_Undi95__OpenRP-13B)
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| Metric | Value |
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|-----------------------|---------------------------|
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| Avg. | 53.25 |
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| ARC (25-shot) | 62.12 |
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| HellaSwag (10-shot) | 82.6 |
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| MMLU (5-shot) | 57.5 |
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| TruthfulQA (0-shot) | 48.29 |
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| Winogrande (5-shot) | 76.01 |
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| GSM8K (5-shot) | 12.89 |
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| DROP (3-shot) | 33.38 |
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