Ollama - Local Models on your machine
TLDRThe video introduces Ollama, a user-friendly tool for running large language models locally on Mac OS and Linux, with Windows support on the horizon. The tool simplifies the installation and operation of various models, including LLaMA-2, uncensored LLaMA, CodeLLaMA, Falcon, Mistral, and others. It provides a command-line interface for managing and running these models, allowing users to download, install, and interact with them easily. The presenter demonstrates how to use Ollama to download a model, create a custom prompt, and interact with it, showcasing its capabilities and potential for non-technical users. The video concludes with a teaser for future content on using Ollama with LangChain and custom models.
Takeaways
- ๐ฆ Ollama is a tool that allows users to easily install and run large language models locally on their computers.
- ๐ It currently supports Mac OS and Linux, with Windows support expected to be available soon.
- ๐ Besides LLaMA-2, Ollama supports various models including uncensored LLaMA, CodeLLaMA, Falcon, and Mistral.
- ๐ Users can run models locally without needing to be proficient in technical aspects like cloud-based model operations.
- ๐ป Ollama provides a user-friendly command-line interface for interacting with the installed language models.
- ๐ The tool simplifies the process of downloading, installing, and running large language models for non-technical users.
- ๐ Users can check the status of their models, including the number of tokens processed per second, with ease.
- ๐ Ollama allows for the creation of custom prompts and hyperparameter settings, enhancing the flexibility of model usage.
- ๐ The tool can also be used to run LangChain locally, enabling users to test ideas and models more conveniently.
- ๐ฆ Models can be easily added or removed from the system, and the tool manages the associated weights and files.
- ๐ Ollama provides information on the memory requirements for running different models, aiding in system resource management.
- ๐ The video suggests future content on using Ollama with other tools like LangChain and custom models from Hugging Face.
Q & A
What is the name of the user-friendly tool for running large language models locally?
-The name of the tool is Ollama.
Which operating systems does Ollama currently support?
-Ollama currently supports Mac OS and Linux, with Windows support coming soon.
What is one of the key features of Ollama that the speaker found fascinating?
-One of the key features the speaker found fascinating is the ability to very easily install a local model.
What does the speaker plan to do in a future video regarding Ollama?
-The speaker plans to make a video on running LangChain locally against all the models supported by Ollama to test out ideas.
How does one get started with Ollama?
-To get started with Ollama, one needs to visit their website, download the tool for their operating system, install it on their machine, and then use the command line to run the models.
What is the process of downloading a model in Ollama?
-To download a model in Ollama, you run the command to download the model. If the model is not already installed, Ollama will pull down a manifest file and then start downloading the actual model.
How large is the LLaMA-2 model that the speaker downloaded in the script?
-The LLaMA-2 model that the speaker downloaded is 3.8 gigabytes in size.
What command in Ollama is used to list the available models?
-The command used in Ollama to list the available models is 'Ollama list'.
How can one create a custom prompt in Ollama?
-To create a custom prompt in Ollama, you make a model file with the desired system prompt and hyperparameters, then create the model using the Ollama command with the model file as a reference.
What is the advantage of running language models locally with Ollama?
-Running language models locally with Ollama allows for easy access and use of the models without relying on cloud services, which can be beneficial for those who are not technical or prefer offline access.
How does the speaker demonstrate the use of a custom prompt in Ollama?
-The speaker demonstrates the use of a custom prompt by creating a 'Hogwarts' model file, setting the system prompt to respond as Professor Dumbledore, and then running the model to show how it responds in character.
What is the process to remove a model from Ollama?
-To remove a model from Ollama, you use the command to remove the model by specifying its name. If the model's weights are not referenced by any other models, they will be deleted as well.
Outlines
๐ Introduction to Ollama and its Features
The speaker begins by sharing their experience at the LangChain offices where they discovered Ollama, a tool designed to run large language models locally. Initially skeptical due to their preference for cloud-based models, the speaker was intrigued by Ollama's ease of installation and potential benefits for non-technical users. Ollama supports various models including LLaMA-2, Mistral, and others, with plans to extend support to Windows. The speaker provides a step-by-step guide on how to download, install, and use Ollama, including how to access the API and command line interface. They also discuss the process of downloading and running models, such as the LLaMA-2 instruct model, and the ability to check model stats and usage.
๐ Custom Prompts and Model Management with Ollama
In this segment, the speaker delves into the advanced features of Ollama, such as creating custom prompts and managing different models. They demonstrate how to use the tool to generate a coherent text by customizing prompts and switching between models. The speaker also shows how to download and run uncensored models and provides a practical example of creating a custom 'Hogwarts' prompt, where the AI assumes the persona of Professor Dumbledore. Furthermore, they explain how to list, remove, and manage installed models, emphasizing the efficiency of running models locally with Ollama. The speaker concludes by expressing their intent to create more content exploring Ollama's capabilities and encourages viewers to ask questions and engage with the content.
Mindmap
Keywords
Ollama
Local Models
LLaMA-2
Fine-tuning
Command Line
API
Manifest File
Custom Prompt
Model Weights
Censored vs Uncensored Models
Hyperparameters
Highlights
Ollama is a user-friendly tool for running large language models locally on your computer.
Currently supports Mac OS and Linux, with Windows support coming soon.
Offers easy installation of local models, benefiting non-technical users.
Supports various models including LLaMA-2, uncensored LLaMA, CodeLLaMA, Falcon, and Mistral.
Allows for running LangChain locally against these models for testing ideas.
The process begins by downloading Ollama from their website and installing it on your machine.
An API is created to serve the model after installation.
The tool operates through the command line, using Terminal on Mac or a similar application on Linux.
Downloading models, such as the 3.8GB LLaMA-2 model, can take some time.
Ollama provides commands to manage and interact with the installed models.
Custom prompts can be created for specific uses, like a Hogwarts-themed prompt.
The system prompt can be tailored with hyperparameters like temperature.
Models can be listed, run, and removed directly through the command line interface.
Ollama allows for the creation of manifests for custom models with specific settings.
The tool is particularly useful for those who prefer to work with models locally rather than in the cloud.
Ollama is expected to release more features and support for additional models in the future.
The presenter plans to create more videos exploring Ollama's capabilities and integration with other tools.