Use Open WebUI to Deploy the Llama 3.1 405B Model in One Click

Tutorial and Model Introduction

This tutorial uses OpenWebUI to deploy Llama-3.1-405B-Instruct-AWQ-INT4 in one click. The relevant environment and configuration have been set up. You only need to clone and start the container to experience inference.

This model is a 405B parameter size instruction tuned version of the Llama 3.1 series of large language models, and uses AWQ quantization technology to quantize the model's weights to INT4 precision, which helps to reduce the model size and increase the reasoning speed while maintaining performance. It is one of the largest open source models currently, supporting multi-language input and output, enhancing the versatility and applicability of the model, while introducing a longer context window to handle more complex tasks and conversations.

The Llama-3.1-405B-Instruct-AWQ-INT4 model features a context length of 128K tokens, which enables it to understand and generate longer and more coherent texts. In addition, the model has been instruction-tuned to improve its performance in following user instructions. The model also uses quantization technology, specifically the AWQ (Adaptive Weight Quantization) quantization method, which quantizes the model's weights to INT4 precision, which helps reduce model size and increase inference speed while maintaining performance.

The model's performance was evaluated on more than 150 benchmark datasets covering multiple languages, and extensive human evaluation was performed to compare it with competing models in real scenarios. Experimental evaluation shows that Llama-3.1-405B is comparable to leading base models in a range of tasks, including GPT-4, GPT-4o, and Claude 3.5 Sonnet. In addition, the model has been optimized to adapt to NVIDIA's multiple platforms, including data servers, edge devices, and personal computers.

Run steps

1. After cloning and starting the container in the upper right corner of the tutorial interface, copy the API address to open a new page

2. After opening the API, you can see the following interface. You can directly enter text in the dialog box to communicate with the large model (due to the large model, it takes about 30 seconds to load the model in the OpenWebUI interface. The model is selected by default. If you cannot select it, it may be that the model has not been loaded yet. Refresh the API address page after 30 seconds)