--- license: other language: - en --- The Llama 2 sequel to my original experiment 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. Quantized models are available from TheBloke: [GGML](https://huggingface.co/TheBloke/MythoLogic-13B-GGML) - [GPTQ](https://huggingface.co/TheBloke/MythoLogic-13B-GPTQ) (You're the best!) ## Model details As always, 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. Illustrated below are the gradients used for this L2 recipe; [](approximation.png) ## Prompt Format This model primarily uses (and wast tested with) Alpaca formatting, so for optimal model performance, use: ``` ### Instruction: Your instruction or question here. ### Response: ``` For chat/roleplay conversations, I suggest the following structure instead: ``` You are , a friendly and supportive AI language model. We discuss all subjects freely and without bias or restrictions. I am , the user interacting with you through a chat conversation. Start with greeting me. ### Instruction: Write 's next reply in a chat between and . Write a single reply only. ### Chat History: : Good day, ! How can I assist you today? (Etc, etc) ### Response: : ``` --- license: other ---