OLLAMA | How To Run UNCENSORED AI Models on Windows

This tutorial video guides viewers on how to install and run uncensored AI models using the OLLAMA platform on a Windows desktop. The process starts with downloading OLLAMA for Windows from ama.com, installing it, and then using the OLLAMA interface to run commands such as 'AMA help' to list available commands. The video focuses on using 'run', 'pull', and 'remove' commands to manage AI models. It demonstrates how to find and download models like Llama 2 uncensored, and how to run them locally for tasks like answering questions, booking appointments, and more. The video also covers how to use the 'pull' command to download models without running them and the 'remove' command to delete models from the system. Additionally, it showcases the capabilities of specific models, such as Code Llama for coding assistance and Lava, a multimodal model that can analyze images. The tutorial concludes with a mention of building a chatbot using OLLAMA and encourages viewers to like and subscribe for more helpful content.

Takeaways

• 💻 To run OLLAMA on Windows, first download the software from ama.com and install it on your desktop.
• 🔍 After installation, you can access OLLAMA through a llama head icon in the bottom toolbar.
• 📝 Use PowerShell (or Command Line) to run OLLAMA commands, starting with `AMA help` to see available options.
• 🌐 Visit the AMA website to browse and select models to download, such as Llama 2 uncensored.
• 📥 The `AMA run` command not only runs the selected model but also downloads it if it's not already on your PC.
• ⏬ The download speed for models depends on your internet connection, and larger models may take longer.
• 📋 OLLAMA can perform various tasks like answering questions, providing information, and booking appointments.
• 🗄️ Use `AMA list` to view all downloaded models, and `AMA pull` to download models without running them.
• 🚫 If you need to remove a model, use the `AMA RM` command followed by the model name to delete it from your system.
• 📷 The Lava model is a multimodal model capable of analyzing images in addition to text-based interactions.
• 💡 OLLAMA allows you to run powerful, open-source AI models locally, provided your laptop has sufficient GPU power.
• 🔧 For those interested in development, you can build your own chatbot using OLLAMA as demonstrated in linked videos.

Q & A

What is the first step to set up OLLAMA on a Windows desktop?

The first step is to open a web browser, navigate to ama.com, and download the OLLAMA setup for Windows from the website.

What is the current status of OLLAMA for Windows?

As of the time of the video, OLLAMA for Windows is still in preview.

How can you check if OLLAMA has been successfully installed on your PC?

After installation, you can check the bottom taskbar, click 'show hidden items', and look for the OLLAMA icon (a small llama head).

What command in Powershell can show you all the available commands for OLLAMA?

The 'AMA help' command will display all the available commands for OLLAMA.

How do you find different models to download and run on OLLAMA?

You can go to the AMA website, click on 'models' at the top, and browse through the list of freely available models to download.

What is the command to run the Llama 2 uncensored model locally on your laptop?

The command to run the Llama 2 uncensored model is 'AMA run llama 2-uncensor'.

How can you download a model without running it?

You can use the 'AMA pull <model_name>' command to download a model without running it.

What is the purpose of the 'AMA list' command?

The 'AMA list' command is used to list all the models that are currently installed on your laptop.

How do you remove a model from your laptop?

To remove a model, you use the 'AMA RM <model_name>' command, which stands for 'remove'.

What is special about the Lava model?

The Lava model is a multimodal model that can analyze images, describe them, and also function like a normal text-based model.

How can you run a specific model like Code Llama?

You can run a specific model like Code Llama by using the command 'AMA run code llama' followed by any specific instructions or prompts for the model.

What is the advantage of using OLLAMA for running AI models?

OLLAMA allows you to download open-source models and run them locally on your laptop, which means you do not have to rely on third-party providers and can utilize your own GPU power.

Outlines

00:00

💻 Installing Olama on Windows for Local Model Execution

The first paragraph explains the process of installing the Olama application on a Windows desktop. It guides the user to download the application from ama.com, navigate to the download section, and select the Windows version, which is still in preview. The user is then instructed to find the downloaded file in the downloads folder, initiate the installation, and look for the Olama icon in the taskbar. The paragraph concludes by introducing the use of Powershell to run various commands with Olama, starting with 'AMA help' to display all available commands.

05:00

📚 Accessing and Running Open Source Models

This paragraph details how to access and run open source models using Olama. It starts by showing how to find available models on the AMA website and select a specific model, such as the uncensored Llama 2 model. The user is guided to copy a command from the website, which, when executed in Powershell, pulls down the model if it's not already on the local PC and runs it. The paragraph demonstrates the model's ability to process a simple question, showcasing the feedback received from the model.

10:02

🔍 Exploring Olama Commands and Model Management

The third paragraph delves into exploring Olama's commands and managing models on the local system. It explains how to list all installed models using 'olama list', how to pull down a model without running it using 'olama pull', and how to remove a model with 'olama remove'. The paragraph also provides insights into different models' capabilities, such as Code Llama for coding assistance and Lava for multimodal inputs including image analysis. It concludes with a demonstration of the Lava model's ability to analyze an image and describe its contents.

Keywords

💡OLLAMA

OLLAMA is a software platform that allows users to run open-source AI models on their personal computers. In the context of the video, OLLAMA is used to download, install, and execute various AI models without the need for a third-party provider, thus enabling local and uncensored AI operations.

💡Windows

Windows is an operating system developed by Microsoft, and in this video, it is the platform on which OLLAMA is being installed and used. The script details the process of downloading and installing OLLAMA specifically for Windows users.

💡Open Source

Open source refers to software whose source code is available to the public, allowing anyone to view, use, modify, and distribute it. In the video, the focus is on running open-source AI models, emphasizing the freedom and flexibility it provides to the users.

💡Models

In the context of AI, models refer to the algorithms or neural networks that are trained to perform specific tasks, such as language processing or image recognition. The video discusses various models like Llama 2, M Stroll, and Lava, which are available for download and use within the OLLAMA platform.

💡Parameter Count

Parameter count in AI models refers to the number of weights and biases within a neural network that are learned from data. A higher parameter count often indicates a more complex model. The video mentions a 7 billion parameter count for the Llama 2 model, highlighting its complexity and capabilities.

💡Quantization

Quantization in AI models is the process of reducing the precision of the model's parameters to use fewer bits, making the model smaller and faster to run, especially on consumer hardware. The video mentions 4-bit quantization, which allows for the efficient running of AI models on a standard laptop.

💡Powershell

Powershell is a command-line shell and scripting language developed by Microsoft, primarily used for system administration and automation tasks. In the video, Powershell is used to execute commands related to managing and running AI models through OLLAMA.

💡Commands

Commands in the context of the video are specific instructions given to the OLLAMA software to perform actions such as downloading, installing, running, or removing AI models. Examples from the script include 'ama help', 'ama run', 'ama pull', and 'ama remove'.

💡Multimodal Model

A multimodal model is an AI model capable of processing and understanding multiple types of data, such as text, images, and audio. The Lava model mentioned in the video is a multimodal model that can analyze images as well as generate text based on user prompts.

💡Code Llama

Code Llama is a specific AI model designed for coding-related tasks, such as writing and debugging code. The video demonstrates how Code Llama can generate sample Python code with multiple classes and functions, showcasing its utility for programmers.

💡Local PC

Local PC refers to the user's personal computer where the OLLAMA software and AI models are installed and run. The video emphasizes the ability to run AI models locally, which means processing is done on the user's own hardware without relying on remote servers.

Highlights

OLLAMA is a platform that allows you to run uncensored AI models on your Windows desktop.

OLLAMA's website provides open-source models that can be downloaded and run locally on your PC.

Windows users can download the OLLAMA setup from ama.com and install it on their computers.

After installation, a llama head icon appears in the taskbar for easy access to OLLAMA's features.

Powershell or command line can be used to run different OLLAMA commands.

The 'AMA help' command lists all available commands for using OLLAMA.

Models can be pulled down to the local PC using the 'AMA run' command followed by the model name.

The OLLAMA website offers a variety of models, including Llama 2, M Stroll, and Lava, for different purposes.

The Llama 2 uncensored model has a 7 billion parameter count and utilizes 4-bit quantization for efficient local running.

Once a model is downloaded, OLLAMA automatically runs it and starts accepting prompts for interaction.

The 'AMA list' command shows all the models currently installed on your laptop.

The 'AMA pull' command allows you to download a model without running it, making it available for later use.

Models can be removed from your system using the 'AMA RM' command followed by the model name.

The Lava model is a multimodal model capable of analyzing and describing images in addition to text generation.

Code Llama is specialized for writing and debugging code, making it useful for developers.

OLLAMA enables running AI models locally, eliminating the need for third-party providers and associated costs.

Building your own chatbot on top of OLLAMA is possible, with additional resources available in the video description.

The tutorial demonstrates the practical applications of OLLAMA, showcasing its ease of use and versatility.