Luban-10B-v1.0

Introduction

Luban-10B-v1.0 is a machine learning model developed by ZIYANGLICHUAN, hosted on Hugging Face. It is designed to leverage large-scale data for advanced computational tasks.

Architecture

The model architecture of Luban-10B-v1.0 is built to handle extensive datasets and complex processing requirements. The structure supports high-dimensional data input, making it suitable for a wide range of applications.

Training

The training process for Luban-10B-v1.0 involves extensive data collection and preprocessing to ensure the model's robustness and accuracy. It utilizes state-of-the-art machine learning techniques to optimize performance across diverse scenarios.

Guide: Running Locally

To run Luban-10B-v1.0 locally, follow these steps:

1. Environment Setup: Ensure you have Python installed along with necessary dependencies.
2. Clone Repository: Use Git to clone the repository to your local machine.
3. Install Dependencies: Run pip install -r requirements.txt to install all required packages.
4. Model Execution: Execute the provided scripts to start the model.
5. GPU Recommendation: For optimal performance, use cloud GPU services such as AWS, Google Cloud, or Azure.

License

Luban-10B-v1.0 is distributed under the Apache-2.0 License, permitting use, distribution, and modification under the same licensing terms.