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README.md

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+-Alpac(ino) stands for Alpaca Integrated Narrative Optimization.
+
+This model is a triple model merge of (Alpaca+(CoT+Storytelling)), resulting in a comprehensive boost in Alpaca's reasoning and story writing capabilities.
+Alpaca was chosen as the backbone of this merge to ensure Alpaca's instruct format remains dominant. 
+
+-Legalese:
+
+This model is under a non-commercial license. This release contains modified weights of Llama30b and is commensurate with good faith that those
+who download and/or utilize this model have been granted explicit access to the original Llama weights by Meta AI after filling out the following
+form-
+https://docs.google.com/forms/d/e/1FAIpQLSfqNECQnMkycAp2jP4Z9TFX0cGR4uf7b_fBxjY_OjhJILlKGA/viewform
+
+-Use Case Example of an Infinite Text-Based Adventure Game With Alpacino30b:
+
+In Text-Generation-WebUI or KoboldAI enable chat mode, name the user Player and name the AI Narrator, then tailor the instructions below as desired and paste in
+context/memory field-
+
+
+\#\#\# Instruction:(carriage return)
+Make Narrator function as a text based adventure game that responds with verbose, detailed, and creative descriptions of what happens next after Player's response.
+Make Player function as the player input for Narrator's text based adventure game, controlling a character named (insert character name here, their short bio, and
+whatever quest or other information to keep consistent in the interaction).
+\#\#\# Response:(carriage return)
+
+Testing subjectively suggests ideal presets for both TGUI and KAI are "Storywriter" (temp raised to 1.1) or "Godlike" with context tokens
+at 2048 and max generation tokens at ~680 or greater. This model will determine when to stop writing and will rarely use half as many tokens.
+
+-Obligatory:
+
+This model may output offensive text and/or fabricated information; do not use this model for advice
+in any domain, especially medical or mental health advice. Meta AI and I are not liable for improper
+use or any damages, percieved or otherwise.
+
+-Sourced LoRA Credits:
+
+ChanSung's exellently made Alpaca LoRA
+
+https://huggingface.co/chansung/alpaca-lora-30b
+
+https://huggingface.co/datasets/yahma/alpaca-cleaned
+
+https://github.com/gururise/AlpacaDataCleaned
+
+magicgh's valuable CoT LoRA
+
+https://huggingface.co/magicgh/llama30b-lora-cot
+
+https://huggingface.co/datasets/QingyiSi/Alpaca-CoT
+
+https://github.com/PhoebusSi/alpaca-CoT
+
+GamerUntouch's unique Storytelling LoRA
+
+https://huggingface.co/GamerUntouch/Storytelling-LLaMa-LoRAs