L La M A O1 Supervised 1129 G G M L

Introduction

The LLaMA-O1-Supervised-1129-GGML is a model developed by SimpleBerry, designed to provide efficient and effective language processing capabilities. It is hosted on Hugging Face and is available for public use under the MIT license.

Architecture

The model leverages the LLaMA architecture, which is optimized for tasks involving natural language understanding and generation. It includes features for supervised learning, enhancing its ability to perform specific tasks based on training data.

Training

The LLaMA-O1-Supervised-1129-GGML model has been trained using a supervised approach. This involves feeding the model with labeled data to learn appropriate responses and actions for given inputs. Specific details about the dataset and training parameters are typically shared in the model card or accompanying documentation.

Guide: Running Locally

To run the LLaMA-O1-Supervised-1129-GGML model locally, follow these steps:

1. Download and Compile LLaMA.CPP:

   • Access the repository on GitHub for llama.cpp and follow the quick start guide for compilation.

2. Execute on UNIX-Based Systems (Linux, macOS, etc.):

   • One-and-Done Prompt:

     ./llama-cli -m LLaMA-O1-Supervised-1129-Q2_K.bin --prompt "Once upon a time"
     

   • Conversation Mode:

     ./llama-cli -m LLaMA-O1-Supervised-1129-Q2_K.bin -cnv --chat-template gemma
     

   • Infinite Text Generation:

     ./llama-cli -m LLaMA-O1-Supervised-1129-Q2_K.bin --ignore-eos -n -1
     

3. Cloud GPUs: Consider using cloud-based GPU services such as AWS, Google Cloud, or Azure for enhanced performance and scalability when running the model locally.

License

The LLaMA-O1-Supervised-1129-GGML is distributed under the MIT License, permitting users to freely use, modify, and distribute the software with proper attribution to the original creators.