Create README.md

README.md

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+---
+tags:
+- llama
+- alpaca
+- cot
+- vicuna
+- uncensored
+- merge
+- mix
+---
+
+## 30B-Lazarus
+
+## Composition:
+[] = applied as LoRA to a composite model | () = combined as composite models
+
+[SuperCOT([gtp4xalpaca(manticorechatpygalpha+vicunaunlocked)]+[StoryV2(kaiokendev-SuperHOT-LoRA-prototype30b-8192)])]
+
+This model is the result of an experimental use of LoRAs on language models and model merges that are not the base HuggingFace-format LLaMA model they were intended for.
+The desired outcome is to additively apply desired features without paradoxically watering down a model's effective behavior.
+
+Potential limitations - LoRAs applied on top of each other may intercompete.
+
+Subjective results - very promising. Further experimental tests and objective tests are required.
+
+Instruct and Setup Suggestions:
+
+Alpaca instruct is primary, Vicuna instruct format may work.
+If using KoboldAI or Text-Generation-WebUI, recommend switching between Godlike and Storywriter presets and adjusting output length + instructions in memory.
+Other presets as well as custom settings can yield highly different results, especially Temperature.
+If poking it with a stick doesn't work try poking harder.
+
+## Language Models and LoRAs Used Credits:
+
+manticore-30b-chat-pyg-alpha [Epoch0.4] by openaccess-ai-collective
+
+https://huggingface.co/openaccess-ai-collective/manticore-30b-chat-pyg-alpha
+
+SuperCOT-LoRA [30B] by kaiokendev
+
+https://huggingface.co/kaiokendev/SuperCOT-LoRA
+
+Storytelling-LLaMa-LoRA [30B, Version 2] by GamerUnTouch
+
+https://huggingface.co/GamerUntouch/Storytelling-LLaMa-LoRAs
+
+SuperHOT Prototype [30b 8k ctx] by kaiokendev
+
+https://huggingface.co/kaiokendev/SuperHOT-LoRA-prototype
+
+ChanSung's GPT4-Alpaca-LoRA
+https://huggingface.co/chansung/gpt4-alpaca-lora-30b
+
+Neko-Institute-of-Science's Vicuna Unlocked LoRA (Checkpoint 46080)
+https://huggingface.co/Neko-Institute-of-Science/VicUnLocked-30b-LoRA
+
+Also thanks to Meta for LLaMA.
+
+Each model and LoRA was hand picked and considered for what it could contribute to this ensemble.
+Thanks to each and every one of you for your incredible work developing some of the best things
+to come out of this community.