Not Wizard L M 2 7 B

Introduction

Not-WizardLM-2-7B is a text generation model available on Hugging Face, designed for generating coherent and contextually relevant text. It is built using the Transformers library and supports safe tensor operations. The model is compatible with inference endpoints and is distributed under the Apache 2.0 license.

Architecture

The architecture includes capabilities for text generation and can be integrated with various tools like FastChat for chat-based applications. It supports different separator styles for conversation history management, enabling dynamic interaction patterns.

Training

The model is pre-trained and fine-tuned on a diverse range of datasets to improve its text generation capabilities. Specific training details are not provided in the available documentation, but it includes code for conversation templating ripped from FastChat.

Guide: Running Locally

To run the Not-WizardLM-2-7B model locally:

1. Clone the Repository: Download the model files from the Hugging Face repository.
2. Set Up Environment: Ensure you have Python and the necessary libraries like Transformers and PyTorch installed.
3. Load the Model: Use the provided code snippet to initialize and run the model.
4. Generate Text: Input a prompt and utilize the model's text generation capabilities.

For enhanced performance, consider using cloud GPUs such as those provided by Google Colab, AWS, or Azure.

License

Not-WizardLM-2-7B is released under the Apache 2.0 license, allowing for wide use and modification with minimal restrictions. A link to the release documentation on the Wayback Machine is included for further reference.