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The Llama 2 sequel to my [original experiment](https://huggingface.co/Gryphe/MythoLogic-13b) with gradient merges using [the following script](https://github.com/Gryphe/BlockMerge_Gradient). Its three models ([Hermes](https://huggingface.co/NousResearch/Nous-Hermes-Llama2-13b), [Chronos](https://huggingface.co/elinas/chronos-13b-v2) and [Airoboros](https://huggingface.co/jondurbin/airoboros-l2-13b-gpt4-2.0)) are almost evenly divided over the layer structure this time. Airoboros was the "wildcard model" due to its superior ability to understand complex instructions. |
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Quantized models are available from TheBloke: [GGML](https://huggingface.co/TheBloke/MythoLogic-L2-13B-GGML) - [GPTQ](https://huggingface.co/TheBloke/MythoLogic-L2-13B-GPTQ) (You're the best!) |
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## Model details |
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As before, the main objective was to create an all-round model with improved roleplaying capabilities. MythoLogic-L2 differs from its predecessor in that it focuses primarily on the understanding of instructions and personalities of complex character cards. |
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Illustrated below are the gradients used for this specific L2 recipe, with the top of the image representing layer 0 and the bottom layer 40. |
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## Prompt Format |
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This model primarily uses (and was heavily tested with) Alpaca formatting, so for optimal model performance, use: |
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``` |
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<System prompt/Character Card> |
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### Instruction: |
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Your instruction or question here. |
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For roleplay purposes, I suggest the following - Write <CHAR NAME>'s next reply in a chat between <YOUR NAME> and <CHAR NAME>. Write a single reply only. |
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### Response: |
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``` |
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license: other |
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