Llama 3_1 Nemotron 51 B Instruct G G U F

Introduction

Llama-3_1-Nemotron-51B-Instruct-GGUF is a quantized model for text generation, based on NVIDIA's Llama-3 architecture, and optimized using the GGUF library. It is designed to facilitate conversational AI applications and can be deployed using inference endpoints.

Architecture

The model is built upon NVIDIA's Llama-3 architecture, utilizing the imatrix option for quantization. It supports multiple quantization formats to accommodate different performance and system requirements, particularly optimizing for text generation tasks.

Training

The model was quantized using the llama.cpp framework, leveraging dataset resources to enhance the model's performance. It includes various quantization types, such as Q8_0, Q6, and Q4, to cater to different quality and computational efficiency needs.

Guide: Running Locally

1. Prerequisites: Install huggingface-cli by running pip install -U "huggingface_hub[cli]".
2. Download Model: Use the CLI to download specific quantized files, e.g.,

   huggingface-cli download bartowski/Llama-3_1-Nemotron-51B-Instruct-GGUF --include "Llama-3_1-Nemotron-51B-Instruct-Q4_K_M.gguf" --local-dir ./
   

3. System Requirements: Determine your available RAM and VRAM to choose the appropriate quantization file that fits within your system's capabilities.
4. Execution: Run the model on systems with adequate GPU support, such as NVIDIA's cuBLAS or AMD's rocBLAS. Consider using a cloud service with GPUs like AWS or Google Cloud for optimal performance.

License

The model is distributed under the NVIDIA Open Model License. For more details, refer to NVIDIA's license agreement.