Wizard L M 2 22b R P i1 G G U F

Introduction

The WizardLM-2-22B-RP-I1-GGUF is a creative and conversational language model designed for chat, writing, and roleplay. It is optimized for performance through various quantization techniques.

Architecture

This model is based on the WizardLM-2-22b-RP architecture and utilizes the Transformers library. It supports English language tasks and is compatible with GGUF file formats for optimized inference.

Training

The model was enhanced using weighted and static quantization methods. Various quantized versions are available, with different performance and quality balances. These versions are categorized by size and quality to cater to diverse computational needs.

Guide: Running Locally

1. Set Up Environment: Ensure you have Python installed along with the Transformers library.
2. Download the Model: Choose a quantized version that fits your computational resources from the available GGUF files.
3. Load the Model: Utilize the Transformers library to load the model into your Python environment.
4. Run Inference: Implement the model for tasks such as chat, writing, or roleplay.

For optimal performance, consider using cloud GPUs offered by platforms such as AWS, Google Cloud, or Azure.

License

The model is licensed under the Apache-2.0 License, allowing for both personal and commercial use.