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--- |
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license: cc-by-nc-4.0 |
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base_model: |
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- cgato/Nemo-12b-Humanize-KTO-Experimental-Latest |
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- IntervitensInc/Mistral-Nemo-Base-2407-chatml |
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- DoppelReflEx/MN-12B-Mimicore-GreenSnake |
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library_name: transformers |
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tags: |
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- mergekit |
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- merge |
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--- |
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<img src="https://huggingface.co./DoppelReflEx/MN-12B-Mimicore-WhiteSnake/resolve/main/WhiteSnake.webp" alt="WhiteSnake.img" style="max-height:600px;align-self:center;justify-self:center;border-radius:16px"/> |
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Version: [WhiteSnake](#) - [Orochi](https://huggingface.co./DoppelReflEx/MN-12B-Mimicore-Orochi) - [GreenSnake](https://huggingface.co./DoppelReflEx/MN-12B-Mimicore-GreenSnake) |
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# What is it? |
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Better version of GreenSnake, not too much different in OpenLLM LeaderBoard scores. Merge with cgato/Nemo-12b-Humanize-KTO-Experimental-Latest so this model could perform 'human response'. |
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This merge model is a gift for Lunar New Year, haha. Enjoy it. |
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Good for RP, ERP, Story Telling. |
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~~PS: It's don't have cgato/Nemo-12b-Humanize-KTO-Experimental-Latest Tokenization issue.~~ |
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Update: Still have cgato/Nemo-12b-Humanize-KTO-Experimental-Latest Tokenization issue, but randomly occur in rare rate. If you are experiencing this issue, just press re-generate to reroll other message/response. |
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# Chat Format? ChatML of course! |
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<details> |
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<summary><em>Merge Details</em></summary> |
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<p> |
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### Models Merged |
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The following models were included in the merge: |
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* [cgato/Nemo-12b-Humanize-KTO-Experimental-Latest](https://huggingface.co./cgato/Nemo-12b-Humanize-KTO-Experimental-Latest) |
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* [DoppelReflEx/MN-12B-Mimicore-GreenSnake](https://huggingface.co./DoppelReflEx/MN-12B-Mimicore-GreenSnake) |
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### Configuration |
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The following YAML configuration was used to produce this model: |
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```yaml |
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models: |
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- model: cgato/Nemo-12b-Humanize-KTO-Experimental-Latest |
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parameters: |
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density: 0.9 |
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weight: 1 |
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- model: DoppelReflEx/MN-12B-Mimicore-GreenSnake |
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parameters: |
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density: 0.6 |
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weight: 0.8 |
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merge_method: dare_ties |
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base_model: IntervitensInc/Mistral-Nemo-Base-2407-chatml |
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tokenizer_source: base |
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``` |
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</p> |
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</details> |
