open-paws/8B-base-model
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Open Paws 8B Base Model
๐พ AI model for generating animal advocacy content and ethical reasoning (8 billion parameters)
Overview
This model is part of the Open Paws initiative to develop AI systems aligned with animal liberation and advocacy principles. Designed to support advocates, educators, and researchers working toward a more compassionate world for all animals.
Model Details
- Model Type: Generative Model
- Model Size: 8 billion parameters
- Architecture: Transformer-based
- Training Focus: Animal advocacy and ethical reasoning
- Organization: Open Paws
- License: Apache 2.0
Intended Use
Primary Applications
- Educational content generation about animal rights
- Advocacy messaging and campaign development
- Ethical reasoning and argumentation
- Community engagement and outreach
Ethical Guidelines
- โ Supporting animal welfare and rights advocacy
- โ Educational content about animal liberation
- โ Ethical decision-making frameworks
- โ Content that promotes animal exploitation
- โ Justifying harm to sentient beings
Usage
Installation
pip install transformers torchBasic Usage
from transformers import AutoModel, AutoTokenizer
import torch
# Load model and tokenizer
model_name = "open-paws/8B-base-model"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModel.from_pretrained(model_name)
# Generate animal advocacy content
input_text = "How can we effectively advocate for farm animal welfare?"
inputs = tokenizer(input_text, return_tensors="pt")
outputs = model.generate(**inputs, max_length=200)
response = tokenizer.decode(outputs[0], skip_special_tokens=True)
print(response)Community and Contributions
- Organization: Open Paws - Making AI an ally to animals
- Website: openpaws.ai
- Community: Join our mission to use AI for animal liberation
- Issues: Report issues via HuggingFace discussions
Model Card Contact
For questions about this model, please reach out via:
- HuggingFace Discussions: open-paws/8B-base-model
- Organization Page: Open Paws
Built with ๐พ for animal liberation and AI alignment
