Wizard Vicuna Uncensored: A Comprehensive Guide

Wizard Vicuna Uncensored is an advanced AI language model that boasts 7B, 13B, and 30B parameters, based on the framework of Llama 2. Developed by the talented Eric Hartford, these models have been optimized for various applications, making them suitable for general use and tailored tasks alike.

Overview of Wizard Vicuna Uncensored

This model is distinctive because it has undergone a unique training process against LLaMA-7B. During this process, a subset of the dataset was filtered, eliminating responses that contained overly moralistic or aligned content. The result is a model that provides more uncensored and varied responses, enabling a wider range of applications and creativity.

Model Parameters

Wizard Vicuna Uncensored is available in three versions based on the number of parameters:

• 7B Parameters: A general-use model ideal for most tasks.
• 13B Parameters: Offers improved performance for more complex inquiries.
• 30B Parameters: Designed for highly demanding applications requiring exceptional language understanding.

Getting Started with Wizard Vicuna Uncensored

To effectively utilize Wizard Vicuna Uncensored, follow the steps outlined below:

Each model version has specific memory requirements to function optimally:

• 7B Model: Requires at least 8GB of RAM.
• 13B Model: Requires at least 16GB of RAM.
• 30B Model: Requires at least 32GB of RAM.

If you encounter issues related to higher quantization levels, consider using the q4 model or closing other memory-intensive applications.

Model Variants

By default, the models utilize 4-bit quantization. To explore other quantization levels, check the model tags. The number following q represents the bit depth used for quantization (for instance, q4 indicates 4-bit quantization). Higher numbers yield more accurate results but also require more memory and may slow down processing.