OLLAMA | How To Run UNCENSORED AI Models on Windows
TLDRThis tutorial video guides viewers on how to set up and run OLLAMA, an open-source AI model, on a Windows desktop. The process begins with downloading OLLAMA from ama.com and installing it on the Windows PC. After installation, users can access the software through a llama head icon in the taskbar. The video demonstrates using Powershell to run various commands, focusing on 'ama help', 'pull', and 'remove'. It shows how to find and download different AI models, such as Llama 2 uncensored, from the AMA website. The video also covers running the downloaded models locally, listing installed models with 'ama list', and pulling models without running them using 'ama pull'. Additionally, it explains how to remove models with 'ama rm'. The tutorial includes testing the Llama 2 and Lava models, with the latter showcasing its multimodal capabilities by analyzing an image. The video concludes with an invitation to learn more about building a chatbot using OLLAMA and encourages viewers to like and subscribe for more content.
Takeaways
- 🖥️ To run uncensored AI models on Windows, download the OLLAMA software from ama.com and install it on your desktop.
- 📂 After installation, locate the 'ama setup' in your downloads folder and double-click to start the process.
- 🔧 Once installed, access the OLLAMA interface by clicking the llama head icon in the taskbar and selecting 'Show Hidden Items'.
- 💡 Use PowerShell (or command line) to run OLLAMA commands. Start by typing 'ama help' to view available commands.
- 🏠 To download models, visit the 'Models' section on the ama.com website and choose from the available options.
- 📦 Use the 'ama pull' command followed by the model name to download a model without running it.
- 🚀 To run a model, use 'ama run' followed by the model name. This will also download the model if it's not already on your laptop.
- 🗑️ To remove a model, use 'ama rm' followed by the model name to uninstall it from your system.
- 🔍 Test the functionality of the models by running them and providing inputs. For example, the Llama 2 model can answer questions and provide information.
- 🖼️ Some models like LAVA are multimodal and can analyze images in addition to text. Use 'ama run' followed by the image path to test image analysis.
- 📝 The Code Llama model is useful for coding-related tasks, such as writing and debugging code with multiple classes and functions.
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.
How can you access the OLLAMA interface after installation on Windows?
-After installation, you can access OLLAMA by clicking on the llama head icon in the bottom toolbar and selecting 'View locks' or 'Quit AMA'.
What is the command to see all available OLLAMA commands in Powershell?
-The command to see all available OLLAMA commands is 'AMA help'.
How can you find and download different models for OLLAMA?
-You can find and download different models by visiting the 'Models' section on the ama.com website, selecting the desired model, and copying the provided command to download it.
What does the 'pull' command in OLLAMA do?
-The 'pull' command in OLLAMA is used to download a specific model without running it. It's useful for obtaining a model for later use.
How do you remove a model from your local PC using OLLAMA?
-To remove a model, you use the 'remove' command followed by the model name, like 'AMA remove llama2'.
What is the purpose of the 'run' command in OLLAMA?
-The 'run' command in OLLAMA is used to execute a specific model locally on your computer.
How can you list all the models that you have downloaded on your laptop using OLLAMA?
-You can list all downloaded models by using the 'AMA list' command in Powershell or the command line.
What is the Llama 2 uncensored model and how does it differ from other models?
-The Llama 2 uncensored model is an open-source AI model with a 7 billion parameter count. It differs from other models in that it has not been censored and can be run locally on a PC with sufficient GPU power.
What is the 'lava' model in OLLAMA and what can it do?
-The 'lava' model is a multimodal model in OLLAMA that can analyze and describe images as well as generate text by answering questions, providing a dual functionality for image and text processing.
How does OLLAMA's 'code llama' model assist with coding tasks?
-The 'code llama' model is specifically designed to help with writing and debugging code. It can generate sample code with multiple classes and functions as requested by the user.
What are the system requirements for running OLLAMA models locally?
-To run OLLAMA models locally, you need a Windows PC with sufficient GPU power and enough memory to handle the models, especially larger ones with higher parameter counts.
Outlines
💻 Installing Olama on Windows
The video begins with instructions on how to download and install Olama on a Windows desktop. The process involves visiting ama.com, downloading the Windows version (currently in preview), and running the installer from the downloads folder. After successful installation, a llama head icon appears in the taskbar, indicating that Olama is ready to use. The tutorial then moves on to using PowerShell to run commands with Olama, starting with 'AMA help' to list all available commands, with a focus on 'run', 'pull', and 'remove'.
📚 Exploring and Running Models with Olama
The second paragraph dives into exploring available models on the AMA website and running them locally on the PC. It demonstrates how to find models, such as Llama 2, and provides detailed information about each model, including update dates, size, parameter count, and quantization. The process of pulling down a model, like Llama 2 uncensored, is shown, which also involves downloading it if it's not already on the system. The video then shows how to interact with the model by asking it a question and receiving a response. Additional commands like 'olama list' to show installed models and 'olama pull' to download models without running them are also covered.
🔍 Analyzing Images and Writing Code with Olama Models
The final paragraph showcases the capabilities of specific Olama models, such as the Lava model for analyzing images and the Code Llama model for writing and debugging code. It demonstrates how to use the Lava model to analyze an image of a puppy and describes the output provided by the model. The Code Llama model is then tested by asking it to generate sample Python code with multiple classes and functions, and the model successfully provides a code snippet along with an explanation. The video concludes by encouraging viewers to explore building their own chatbot using Olama and to subscribe for more content.
Mindmap
Keywords
💡OLLAMA
💡Windows
💡Powershell
💡Models
💡Llama 2 uncensored
💡Parameter count
💡Quantization
💡Multimodal model
💡Local PC
💡Command line
💡Code Llama
Highlights
OLLAMA is a platform that allows users to run open-source AI models on their Windows desktop.
OLLAMA is currently in preview for Windows.
Users can download OLLAMA for Windows from ama.com.
Once installed, OLLAMA can be accessed through a llama head icon in the taskbar.
Powershell can be used to run different commands with OLLAMA.
The 'AMA help' command lists all available commands for OLLAMA.
Models can be pulled down to the local PC for running using commands like 'AMA run'.
The OLLAMA website provides a list of freely available models for download.
Llama 2 uncensored model is one of the models available for download.
The 'AMA run llama 2-uncensor' command allows running the Llama 2 model locally and downloading it if not present.
Models can be run locally on a PC with sufficient GPU memory.
The 'AMA list' command shows all the models currently installed on the PC.
The 'AMA pull' command allows downloading models without running them.
Models can be removed from the PC using the 'AMA RM' command followed by the model name.
The 'Lava' model is a multimodal model capable of analyzing images and generating text.
The 'Code Llama' model is designed to assist with writing and debugging code.
OLLAMA enables users to download and run high-functioning open-source models locally.
Users interested in building their own chatbot can find a tutorial in the video description.
