Llama 3.3 70 B Instruct ablated

Introduction

The Llama-3.3-70B-Instruct-Ablated model, developed by NaniDAO, is designed for text generation and conversational AI. It uses an ablation technique to offer a more open and uncensored user experience, reducing refusals for valid requests. This model supports multiple languages, including English, French, Italian, Portuguese, Hindi, Spanish, Thai, and German.

Architecture

The model is based on Meta's Llama-3.3-70B architecture, with enhancements for instructional and conversational purposes. It leverages the Transformers library for its operations, ensuring that it can efficiently handle various NLP tasks.

Training

The model employs an ablation technique to enhance its ability to be a helpful assistant. This technique aims to decrease the number of refusals for valid user requests, creating a more user-friendly interaction.

Guide: Running Locally

To run the Llama-3.3-70B-Instruct-Ablated model locally, follow these steps:

1. Set Up Environment: Ensure you have Python and pip installed. Create a virtual environment and activate it.

   python3 -m venv myenv
   source myenv/bin/activate
   

2. Install Transformers: Install the Transformers library using pip.

   pip install transformers
   

3. Download the Model: Access the model from the Hugging Face hub and download it using the appropriate API calls.

4. Run the Model: Use the Transformers library to load and run the model for your specific tasks.

   from transformers import AutoModelForCausalLM, AutoTokenizer
   
   tokenizer = AutoTokenizer.from_pretrained("NaniDAO/Llama-3.3-70B-Instruct-ablated")
   model = AutoModelForCausalLM.from_pretrained("NaniDAO/Llama-3.3-70B-Instruct-ablated")
   
   input_text = "Your input here"
   inputs = tokenizer(input_text, return_tensors="pt")
   outputs = model.generate(**inputs)
   

5. Cloud GPU: For optimal performance, especially with large models like this, consider using cloud-based GPU resources such as AWS EC2, Google Cloud Platform, or Microsoft Azure.

License

The model is available under the Llama3 license. Users are encouraged to apply the model responsibly and are reminded that the developers do not take responsibility for the applications of this intelligence, similar to the use of one's own intelligence.