Nera_ Noctis 12 B 4bpw exl2

Introduction

The NERA_NOCTIS-12B-4BPW-EXL2 model by Nitral-AI is a large-scale language model designed for various natural language processing tasks. It employs advanced techniques and architectures to deliver robust and efficient performance.

Architecture

The model is based on Mistral's architecture, utilizing 12 billion parameters. It supports the Safetensors library and operates primarily in English. The architecture is optimized for both chat and instruction-based tasks, providing flexibility in application.

Training

Training details specific to the NERA_NOCTIS-12B-4BPW-EXL2 are not explicitly provided, but it is implied that the model benefits from extensive pre-training, allowing it to handle a wide array of language processing tasks effectively. The model also supports the ChatML prompt format, enhancing its conversational capabilities.

Guide: Running Locally

To run the NERA_NOCTIS-12B-4BPW-EXL2 model locally, follow these steps:

1. Setup Environment: Ensure you have Python and necessary libraries installed. It's recommended to use a virtual environment.
2. Download Model: Visit the model page on Hugging Face and download the model files.
3. Install Libraries: Install the Safetensors library and any other dependencies specified in the documentation.
4. Load Model: Use a Python script or Jupyter notebook to load the model and begin executing tasks. Use the ChatML format for prompts.
5. Utilize Cloud GPUs: For optimal performance, consider using cloud-based GPU services such as AWS, Google Cloud, or Azure to handle the computational demands.

License

The model is released under an unspecified "other" license. Users should review any associated licensing terms on the Hugging Face model page to ensure compliance with usage policies.