README.md

metadata

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

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