license: other
tags:
- alpaca
-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.
Hey! New GGML flavor! WOW!
Thanks to camelids for making Alpacino30B accessible to the cool GGML community. https://huggingface.co/camelids/alpacino-33b-ggml-q5_1
-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:
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:
{an empty new line here}
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
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 50.38 |
| ARC (25-shot) | 62.71 |
| HellaSwag (10-shot) | 85.04 |
| MMLU (5-shot) | 58.48 |
| TruthfulQA (0-shot) | 44.23 |
| Winogrande (5-shot) | 79.79 |
| GSM8K (5-shot) | 15.77 |
| DROP (3-shot) | 6.65 |