granite 3.1 8b instruct G G U F

Introduction

Granite-3.1-8B-Instruct is a community model developed by IBM-Granite and enhanced by LM Studio Community. It is designed for a variety of language processing tasks such as summarization, text classification, question answering, and more. The model supports multiple languages and is publicly available under the Apache 2.0 license.

Architecture

The model is based on the GGUF architecture with quantization provided by Bartowski, using the llama.cpp release b4381. It supports a context length of 131,072 tokens, allowing it to handle long-context tasks efficiently. It is optimized for general instructions and supports a wide range of languages, including English, German, Spanish, and more.

Training

Granite-3.1-8B-Instruct is intended for tasks like summarization, text classification, extraction, coding, and function calling. Users have the option to fine-tune the model for additional languages beyond the 12 initially supported.

Guide: Running Locally

To run the model locally, follow these steps:

1. Clone the Repository: Download the model files from the Hugging Face repository.
2. Set Up the Environment: Ensure you have the necessary dependencies installed, such as Python and any required libraries.
3. Load the Model: Use a compatible library to load and run the model for your specific task.
4. Cloud GPUs: For optimal performance, especially with large datasets, consider using cloud GPUs from providers like AWS, Google Cloud, or Azure.

License

Granite-3.1-8B-Instruct is distributed under the Apache 2.0 license, allowing for wide use and modification with adherence to the terms specified in the license agreement.