ibs_ G G U F

Introduction

The IBS_GGUF model is a fine-tuned version of the unsloth/llama-3.2-3b-instruct-bnb-4bit model. It is designed for text-generation inference and utilizes the GGUF library within the Transformers framework. This model has been optimized to achieve 2x faster training times using the Unsloth framework and Hugging Face's TRL library.

Architecture

The model architecture is based on the LLaMA (Large Language Model) series, specifically the llama-3.2-3b-instruct-bnb-4bit configuration. It leverages the GGUF library for efficient text generation tasks. The model is suitable for English language text generation and inference tasks.

Training

The IBS_GGUF model was trained using the Unsloth framework, which enhances training speed by 2x. The training process also incorporated Hugging Face's TRL (Training and Loggers) library to facilitate efficient model training and logging.

Guide: Running Locally

To run the IBS_GGUF model locally, follow these steps:

1. Clone the Repository: Obtain the model files via the Hugging Face Model Hub or directly from the repository.
2. Install Dependencies: Ensure that you have the necessary libraries, such as Transformers and GGUF, installed in your environment.
3. Load the Model: Use the appropriate Transformers library methods to load the IBS_GGUF model.
4. Run Inference: Execute text generation tasks using the model's inference capabilities.

For optimal performance, consider using cloud GPU services like AWS, Google Cloud, or Azure to handle intensive computation tasks.

License

The IBS_GGUF model is licensed under the Apache-2.0 License, allowing for both personal and commercial usage, provided the terms of the license are met.