Illustrious v0.1 vpred test

Introduction

The Illustrious-v0.1-vpred-test is a model created by AngelBottomless, hosted on Hugging Face. This model is based on an early release from OnomaAIResearch, specifically the Illustrious-xl-early-release-v0.

Architecture

The model leverages the architecture of the Illustrious-xl series, designed for tasks that might involve complex predictions or classifications. Detailed architectural specifics might be drawn from the base model, OnomaAIResearch's Illustrious-xl-early-release-v0.

Training

Details on the training process for Illustrious-v0.1-vpred-test are not explicitly provided. However, it likely follows methodologies aligned with similar models in the Illustrious series, focusing on robust data processing and iterative refinement techniques.

Guide: Running Locally

1. Install Dependencies: Ensure you have Python and necessary libraries, such as transformers and torch, installed.
2. Clone the Repository: Download or clone the model repository from Hugging Face.
3. Load the Model: Use the transformers library to load the model.
4. Run Inference: Input data and execute your prediction task.

Suggested Cloud GPUs

For optimal performance, consider using cloud GPU services such as AWS EC2, Google Cloud's AI Platform, or Azure's Machine Learning Compute.

License

The model is licensed under the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0). This license allows for sharing and adaptation for non-commercial purposes, provided appropriate credit is given. More details can be found here.