Nera_ Noctis 12 B G G U F A R M Imatrix

Introduction

Nera_Noctis-12B-GGUF-ARM-Imatrix is a model designed for roleplay and conversational purposes. It is part of the GGUF library, which emphasizes chat-based machine learning models in English. The model is suitable for creating interactive dialogue systems and engaging in conversational AI applications.

Architecture

The Nera_Noctis-12B-GGUF-ARM-Imatrix model is based on the Nera_Noctis-12B architecture developed by Nitral-AI. It utilizes quantization techniques to enhance performance on ARM architecture systems, making it efficient for various conversational AI tasks.

Training

The model is a quantized version of Nera_Noctis-12B, optimized for specific hardware configurations. The original model's training details, including dataset and training parameters, can be accessed via the base model repository at Nitral-AI/Nera_Noctis-12B.

Guide: Running Locally

To run Nera_Noctis-12B-GGUF-ARM-Imatrix locally, follow these steps:

1. Clone the Repository: Download the model files from the Hugging Face repository.
2. Set Up Environment: Ensure you have the necessary dependencies installed, including Python and any required libraries.
3. Load the Model: Use compatible machine learning frameworks to load and interact with the model.
4. Run Inference: Execute the model with your input data to generate conversational outputs.

For optimal performance, consider using cloud GPUs such as NVIDIA A100 or V100, which offer enhanced processing power for large-scale models.

License

The model and its associated files are available under a specific license detailed in the repository. Ensure compliance with the license terms when using the model in your projects.