---
license: apache-2.0
base_model: mistralai/Mistral-7B-v0.1
tags:
- constitutional-ai
- consequentialist
- text-generation
- ethics
---

# Constitutional AI - Consequentialist

A Constitutional AI model trained with consequentialist ethical framework.

## Model Details
- **Base Model**: Mistral-7B-v0.1  
- **Training**: Constitutional AI with critique and revision
- **Ethics Framework**: Consequentialist
- **Model Size**: ~13GB (full merged model)

## Training Process
1. Base Mistral-7B-v0.1
2. + Helpful-Mistral-7B (HM7B) adapter  
3. + Constitutional AI training with consequentialist principles

## Usage

```python
from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("0chanly/consequentialist-constitutional")
tokenizer = AutoTokenizer.from_pretrained("0chanly/consequentialist-constitutional")

prompt = "Human: Should I prioritize personal happiness or moral duty?\n\nAssistant:"
inputs = tokenizer(prompt, return_tensors="pt")
outputs = model.generate(**inputs, max_new_tokens=200, do_sample=True, temperature=0.7)
response = tokenizer.decode(outputs[0], skip_special_tokens=True)
print(response)
```

## Ethics Framework
- **Deontological**: Duty-based ethics, focuses on rules and principles
- **Consequentialist**: Outcome-based ethics, focuses on results and consequences