license: llama2
model_type: llama
tags:
- facebook
- meta
- pytorch
- llama
- llama-2
- Storywriter
GOAT-70B-Storytelling model
GOAT-70B-Storytelling model trained by GOAT.AI lab as a core model for autonomous story-writing agent.
GOAT-Storytelling-Agent
The GOAT-70B-Storytelling model has been developed as an integral component within the GOAT-Storytelling-Agent. This agent facilitates 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
Uses
The main purpose of GOAT-70B-Storytelling is to generate books, novels, movie scripts and etc. as an agent in coping with our GOAT-Storytelling-Agent. 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
)
Currently, we support LLM endpoint generation, where you need to send a post request to the generation endpoint (we recommend using Text Generation Inference by HuggingFace)
First, modify config.py and add your generation endpoint.
Then you can use it inside via GOAT-Storytelling-Agent:
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.
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.