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Run LARGE Language Models Locally with Ease!
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#Run large language model locally: Llama 3.1 tutorial
#Run Llama 3.1 on your own machine versus the titans, ChatGPT's GPT-4 and Google's Gemini. #AI model comparison #ai#llama #cloud-based-AI
Learn how to run a large language model locally with the Llama 3.1 tutorial. Whether you're interested in AI agents or ChatGPT 4.0, this tutorial will guide you through the process of running a large language model on your own device.
Privacy & Control: Llama 3.1 gives you total control with local deployment, while GPT-4 and Gemini come with cloud-based conveniences—and concerns.
Accessibility & Cost: Find out which option suits your budget and hardware setup.
Power & Capabilities: We compare the strength and versatility of each model.
Customization & Openness: Learn about the openness of Llama 3.1 versus the closed systems of GPT-4 and Gemini.
We also show you how to take control of your AI destiny by running Meta’s Llama 3.1 models locally. Say goodbye to server overloads, privacy concerns, and "ChatGPT is at capacity" messages. With Llama 3.1, you have pure AI power at your fingertips—completely offline!
Steps Included:
Installing Ollama: A tool that simplifies running large language models locally.
Setting Up the Llama 3.1 Family: From 8B to the massive 405B model.
Hardware Tips: What you need to run Llama 3.1 effectively.
Exploring Other Models: Dive into alternatives like Mistral and Phi-3.
Getting a User-Friendly Interface: Set up OpenWebUI for a ChatGPT-like experience.
Running Llama Locally: Interact with your AI without depending on the cloud.
Get Started with Local AI:
Download my free cheat sheet with all the commands and resources mentioned in the video.
cheat sheet:
ollama serve
ollama --help
ollama list
ollama run llama3.1
ollama pull
Download
Windows Installation: Installing Ollama on Windows is straightforward. After downloading the executable file, simply run it, and Ollama will be installed automatically.
Linux installation: Just run below command in your terminal. Ollama will be installed.
00:00 Introduction
00:13 What's Llama
00:43 Which LLM is right for you?
01:58 Verdicts
02:17 Downsides of ChatGPT
02:42 Running LLM locally
03:05 How to download Ollama?
04:10 Download Llama model
04:42 Llama's family of models
05:42 Interact with Llama
06:10 Other LLM models
06:55 Install Docker
07:05 Using OpenWebUI for your local LLM
#Run Llama 3.1 on your own machine versus the titans, ChatGPT's GPT-4 and Google's Gemini. #AI model comparison #ai#llama #cloud-based-AI
Learn how to run a large language model locally with the Llama 3.1 tutorial. Whether you're interested in AI agents or ChatGPT 4.0, this tutorial will guide you through the process of running a large language model on your own device.
Privacy & Control: Llama 3.1 gives you total control with local deployment, while GPT-4 and Gemini come with cloud-based conveniences—and concerns.
Accessibility & Cost: Find out which option suits your budget and hardware setup.
Power & Capabilities: We compare the strength and versatility of each model.
Customization & Openness: Learn about the openness of Llama 3.1 versus the closed systems of GPT-4 and Gemini.
We also show you how to take control of your AI destiny by running Meta’s Llama 3.1 models locally. Say goodbye to server overloads, privacy concerns, and "ChatGPT is at capacity" messages. With Llama 3.1, you have pure AI power at your fingertips—completely offline!
Steps Included:
Installing Ollama: A tool that simplifies running large language models locally.
Setting Up the Llama 3.1 Family: From 8B to the massive 405B model.
Hardware Tips: What you need to run Llama 3.1 effectively.
Exploring Other Models: Dive into alternatives like Mistral and Phi-3.
Getting a User-Friendly Interface: Set up OpenWebUI for a ChatGPT-like experience.
Running Llama Locally: Interact with your AI without depending on the cloud.
Get Started with Local AI:
Download my free cheat sheet with all the commands and resources mentioned in the video.
cheat sheet:
ollama serve
ollama --help
ollama list
ollama run llama3.1
ollama pull
Download
Windows Installation: Installing Ollama on Windows is straightforward. After downloading the executable file, simply run it, and Ollama will be installed automatically.
Linux installation: Just run below command in your terminal. Ollama will be installed.
00:00 Introduction
00:13 What's Llama
00:43 Which LLM is right for you?
01:58 Verdicts
02:17 Downsides of ChatGPT
02:42 Running LLM locally
03:05 How to download Ollama?
04:10 Download Llama model
04:42 Llama's family of models
05:42 Interact with Llama
06:10 Other LLM models
06:55 Install Docker
07:05 Using OpenWebUI for your local LLM
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