Windows 10 Unleashed: A 23-step Installation Blueprint – If you want to install LLaMA 2, the next generation Meta open source language, you are in the right place. LLaMA 2 is a major advance in artificial intelligence (AI) that will transform fields ranging from customer service to content creation.
The model is freely available for research and commercial use, is trained on 2 trillion tokens, and is twice as long as its predecessor, LLaMA 1.
Windows 10 Unleashed: A 23-step Installation Blueprint
Well-structured models are trained on more than 1 million human observations, making them a powerful tool for a variety of AI applications.
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This guide explains how to install LLaMA 2 locally and provides a step-by-step process to get you up and running with this powerful AI model on your computer.
If you want to learn more about AI models, you may find the information on how to install ChatGPT-4 Unleashed and SuperAGI helpful.
Before installing LLaMA 2, make sure you have Conda installed on your system. Create a new installation environment using Conda. This type of interface also uses a text-generating web user interface. You can install conda by following the steps in the GPT Engineer’s Guide.
If you are having trouble copying and pasting the code, you may need to enable copy and paste in your terminal. Once enabled, you can use Crtl + Shift + C/V to copy and paste commands from this guide into your terminal.
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The first step is to create a new Conda environment. To do this, run the following command in the terminal:
Use Python version 3.10.9. Once your order is complete, you will be asked to upload an image of your package. click
After creating a new environment, you need to activate it. This can be done using the following command:
This command downloads and installs PyTorch along with torchvision and torchaudio from the specified URL. Installation may take a few minutes.
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After installing PyTorch, you need to integrate the text generation web UI repository. This can be done using the following command:
When the server starts up, you will see the local URL on the endpoint. In my case it is http://127.0.0.1:7860.
Copy the local URL from your device and paste it into your web browser. The text generation web user interface is displayed.
Then go to the Hugging Face discussion thread LLaMA 2 70b and copy the sample URL. Go back to the text generation web UI, go to the Model tab and, in my case, enter part of the URL (ie TheBloke/Llama-2-70B-chat-GPTQ) into the Download Custom Model field.
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I’m using the 70B model, but you can use the 13B or 7B models if your GPU isn’t up to the task.
Click “Download” to start the download. Due to the large size of the sample files, this process will take some time.
Once the model is loaded, click the blue Reload button at the top of the Model tab. Find the version you downloaded in the list and click Download. Always use transformer power for this process. This process may take some time.
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