license: llama2
model_type: llama
tags:
- facebook
- meta
- pytorch
- llama
- llama-2
GOAT-70B-STORYTELLING model
GOAT-70B-STORYTELLING model is supervised finetuned (SFT) version of LLaMA 2 developed by GOAT.AI lab for story-writing.
GOAT-STORYTELLING-AGENT
The GOAT-70B-STORYTELLING model has been developed as an integral component within the GOAT-STORYTELLING-AGENT Framework. This framework is designed to facilitate the generation of high-quality, cohesive, and captivating narratives, including stories and books. It achieves this by utilizing inputs such as plot outlines, character profiles, their interrelationships, and other relevant details. Example is provided below.
Model description
- Base Architecture: LLaMA 2 70B
- License: llama2
- Context window length: 4096 tokens
Learn more
- Blog: TBA
- Framework: github.com/GOAT-STORYTELLING-AGENT (TBA)
Uses
The main purpose of GOAT-70B-STORYTELLING is to generate books, novels, moviescripts and etc. as an agent in cope with our GOAT-STORYTELLING-AGENT Framework. It is specifically designed for storywriters.
Usage
Usage can be either self-hosted via transformers or used with Spaces
import torch
from transformers import AutoTokenizer, AutoModelForCausalLM
model_name = "GOAT-AI/GOAT-70B-STORYTELLING"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(
model_name,
torch_dtype=torch.bfloat16
)
Use it inside via GOAT-STORYTELLING-AGENT framework:
from goat_storytelling_agent.story_processor.prompt_manager import generate_story
novel_scenes = generate_story('never too much coffee', form='novel')
License
GOAT-70B-STORYTELLING model is based on Meta's LLaMA-2-70b-hf, and using own datasets.
GOAT-70B-STORYTELLING model weights are available under LLAMA-2 license. Note that the GOAT-70B-STORYTELLING model weights require access to the LLaMA-2 model weighs. The GOAT-70B-STORYTELLING model is based on LLaMA-2 and should be used according to the LLaMA-2 license.
Risks and Biases
GOAT-70B-STORYTELLING model can produce factually incorrect output and should not be relied on to deliver factually accurate information. Therefore, the GOAT-70B-STORYTELLING model could possibly generate wrong, biased, or otherwise offensive outputs.