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Install and Run Llama 3.1 LLM Locally in Python and Windows Using Ollama
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In this tutorial, we explain how to run Llama 3.1 Large Language Model (LLM) in Python Using Ollama on Windows on a Local Computer. Ollama is an interface and a platform for running different LLMs on local computers. On the other hand, Llama 3.1 is Meta's (previously Facebook) most powerful LLM up to date. We will call Llama 3.1 by using Ollama's Python library. After the response is generated in Python, we will save the response in a text file such that you can use the generated text for other purposes.
The procedure is:
1.) Install Ollama and download Llama 3.1 model from the Ollama website
2.) Create a workspace folder, create Python virtual environment, and install Ollama Python Library
3.) Write Python code that calls Llama 3.1 by using Ollama library and that saves the response in a text file.
It takes a significant amount of time and energy to create these free video tutorials. You can support my efforts in this way:
- You Can also press the Thanks YouTube Dollar button
In this tutorial, we explain how to run Llama 3.1 Large Language Model (LLM) in Python Using Ollama on Windows on a Local Computer. Ollama is an interface and a platform for running different LLMs on local computers. On the other hand, Llama 3.1 is Meta's (previously Facebook) most powerful LLM up to date. We will call Llama 3.1 by using Ollama's Python library. After the response is generated in Python, we will save the response in a text file such that you can use the generated text for other purposes.
The procedure is:
1.) Install Ollama and download Llama 3.1 model from the Ollama website
2.) Create a workspace folder, create Python virtual environment, and install Ollama Python Library
3.) Write Python code that calls Llama 3.1 by using Ollama library and that saves the response in a text file.
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