---
license: apache-2.0
base_model_type: llama
tags:
- animal-liberation
- animal-advocacy
- open-paws
- ethics
- alignment
language:
- en
pipeline_tag: text-generation
widget:
- text: "How can we effectively advocate for farm animal welfare?"
- text: "Explain the ethical issues with factory farming"
- text: "What are the benefits of plant-based diets for animals?"
---

# Open Paws 8B Base Model

🐾 **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](https://huggingface.co/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
- ✅ Supporting animal welfare and rights advocacy
- ✅ Educational content about animal liberation
- ✅ Ethical decision-making frameworks
- ❌ Content that promotes animal exploitation
- ❌ Justifying harm to sentient beings

## Usage

### Installation

```bash
pip install transformers torch
```

### Basic Usage

```python
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](https://huggingface.co/open-paws) - Making AI an ally to animals
- **Website**: [openpaws.ai](https://www.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](https://huggingface.co/open-paws/8B-base-model/discussions)
- **Organization Page**: [Open Paws](https://huggingface.co/open-paws)

---

*Built with 🐾 for animal liberation and AI alignment*