Running Ollama Models via CLI: A Comprehensive Guide
Z
Zack Saadioui
8/27/2024
Running Ollama Models via CLI
If you're diving into the world of large language models, particularly with Ollama, you’re in for a treat! Ollama offers a simple yet powerful Command Line Interface (CLI) that allows you to run various models, including Llama 3.1, Mistral, and more. This tutorial will guide you through the entire process from installation to execution of models, ensuring you maximize the potential of this robust tool.
What is Ollama?
Ollama is an innovative platform that allows you to run large language models locally. With a plethora of models available, it’s an awesome option for developers and enthusiasts looking to experiment with natural language processing. The ollama/ollama repository has gained a lot of traction, boasting over 86.7k stars!
Getting Started
Before we jump into running models, let’s cover the basics of how to get ollama set up on your system. Depending on your operating system, Ollama can be installed using different methods:
You can even run Ollama using the official Ollama Docker image. Just pull the image with:
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docker pull ollama/ollama
The Power of CLI
Once you have Ollama set up, you can start running models with just a few commands. Let’s have a look at some basic commands you might find useful. You can quickly enter the Ollama CLI by simply typing
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ollama
on your terminal. Here are some commands you’ll want to get acquainted with:
Running a model:
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2
bash
ollama run llama3.1
This command launches the Llama 3.1 model instantly.
Model Library
Ollama provides an extensive model library where you can find various models with differing parameters and sizes. Here’s a sneak peek at some of the models you can utilize:
Model
Parameters
Size
Command
Llama 3.1
8B
4.7GB
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ollama run llama3.1
Llama 3.1
70B
40GB
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ollama run llama3.1:70b
Llama 3.1
405B
231GB
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ollama run llama3.1:405b
Phi 3 Mini
3.8B
2.3GB
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ollama run phi3
Mistral
7B
4.1GB
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ollama run mistral
Gemma 2
9B
5.5GB
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ollama run gemma2
RAM Requirements
Before you start running models, be aware of the RAM requirements:
To run 7B models, you need at least 8GB of RAM.
For 13B models, you need 16GB.
And for models like the 33B, you'll need 32GB of RAM!
Customizing Models
One of the neat features of Ollama is its ability to customize models with ease. Let's go through some steps on how to customize a model:
Importing GGUF Models
If you have a model in a GGUF format, you can import it using the following procedure:
Create a file named
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Modelfile
and specify your model's local filepath. For example:
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./vicuna-33b.Q4_0.gguf
Create the model in Ollama:
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2
bash
ollama create example -f Modelfile
Finally, run your model with:
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2
bash
ollama run example
Customizing Prompts
You can also customize prompts for the models within the Ollama library. For instance, here's how to tailor the
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llama3.1
model:
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2
bash
ollama pull llama3.1
Create a
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Modelfile
: ```plaintext
llama3.1
set temperature 1 [higher creative, lower coherent]
PARAMETER temperature 1
system message
SYSTEM """ Mario Super Mario Bros. Answer Mario, assistant, only. """
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Next, create and run the customized model:
bash
ollama create mario -f ./Modelfile
ollama run mario
```
CLI Commands Reference
Here are a few essential CLI commands to manage your models perfectly:
Create a Model:
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2
bash
ollama create mymodel -f ./Modelfile
Pull a Model:
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2
bash
ollama pull llama3.1
Remove a Model:
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2
bash
ollama rm llama3.1
Copy a Model:
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2
bash
ollama cp llama3.1 my-model
List Your Models:
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2
bash
ollama list
REST API Integration
Ollama also supports a REST API to generate responses. Here’s how you could generate a response using
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curl
:
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2
bash
curl http://localhost:11434/api/generate -d '{ "model": "llama3.1", "prompt":"Why is the sky blue?" }'
Moreover, you can use the chat endpoint to interact more dynamically:
Using the Ollama CLI not only makes running models straightforward, but it also opens a door to customization that’s rarely found in other platforms. Plus, it’s lightweight, doesn’t require cloud dependency, & you can maintain your data privately.
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Conclusion
Understanding how to run Ollama models through the CLI is an valuable skill, especially for those wanting to harness the power of AI. With customizable models, an easy-to-use CLI, and the ability to pull various powerful models, your possibilities are vast. Dive in, experiment, & enjoy the richness that Ollama offers!
FAQs
What data formats does Ollama support? Ollama supports multiple data formats including
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.pdf
,
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.txt
, and
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.csv
. You can easily upload documents or provide web links for your chatbot.
Which language model does Ollama use? The platform continually updates, leveraging top models ranging from OpenAI's GPT to others, ensuring you get the best value at a low cost.
How to integrate Ollama with my website? Integration is super simple! Just set your chatbot live and embed the widget snippet into your website.
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