Llama 3.1 Nemotron 92 B Instruct H F late

Introduction

LLAMA-3.1-NEMOTRON-92B-INSTRUCT-HF-LATE is a sophisticated pre-trained language model that has been developed by merging several models using the mergekit tool. It is designed to enhance text generation capabilities, particularly for conversational and instructive applications.

Architecture

The model is based on the nvidia/Llama-3.1-Nemotron-70B-Instruct-HF model. It employs a merging technique called the passthrough merge method to integrate several model slices. The configuration utilizes parameters such as dtype: bfloat16 and is structured to cover specific layer ranges of the base model.

Training

The LLAMA-3.1-NEMOTRON-92B-INSTRUCT-HF-LATE model is not trained from scratch but is instead a composite of pre-existing models. These models are strategically merged to leverage their individual strengths, resulting in a more robust and capable language model.

Guide: Running Locally

To run the LLAMA-3.1-NEMOTRON-92B-INSTRUCT-HF-LATE model locally:

1. Environment Setup:

   • Ensure that you have Python and the transformers library installed.
   • Install any additional dependencies required by the mergekit tool.

2. Model Download:

   • Clone the model repository or download the necessary files from Hugging Face's model page.

3. Execution:

   • Load the model using the transformers library.
   • Implement any specific configurations as per your requirements.

4. Hardware Recommendations:

   • Given the model's size, it is advisable to use cloud-based GPU services such as AWS, Google Cloud, or Azure for optimal performance.

License

The usage of the LLAMA-3.1-NEMOTRON-92B-INSTRUCT-HF-LATE model is subject to the licensing agreements stipulated by the contributing models and tools. Ensure compliance with these licenses when deploying or distributing the model.