What are the most popular commands in Ollama?

The most popular commands in Ollama are: ollama list, ollama pull, ollama rm and ollama run

Ollama Cheatsheet

Compiled it some for future use...

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Here is the list and examples of the most useful Ollama commands (Ollama commands cheatsheet) I compiled some time ago. Hopefully it will be useful to you.

ollama cheatsheet

This Ollama cheatsheet is focusing on CLI commands, model management, and customization

Option 1: Download from Website
- Visit ollama.com and download the installer for your operating system (Mac, Linux, or Windows).
Option 2: Install via Command Line
- For Mac and Linux users, use the command:
```
curl https://ollama.ai/install.sh | sh
```
- Follow the on-screen instructions and enter your password if prompted[3].

Command	Description
`ollama serve`	Starts Ollama on your local system.
`ollama create <new_model>`	Creates a new model from an existing one for customization or training.
`ollama show <model>`	Displays details about a specific model, such as its configuration and release date.
`ollama run <model>`	Runs the specified model, making it ready for interaction.
`ollama pull <model>`	Downloads the specified model to your system.
`ollama list`	Lists all the downloaded models.
`ollama ps`	Shows the currently running models.
`ollama stop <model>`	Stops the specified running model.
`ollama rm <model>`	Removes the specified model from your system.
`ollama help`	Provides help about any command.

Download a Model:
```
ollama pull mistral-nemo:12b-instruct-2407-q6_K
```
This command downloads the specified model (e.g., Gemma 2B) to your system.
Run a Model:
```
ollama run qwen2.5:32b-instruct-q3_K_S
```
This command starts the specified model and opens an interactive REPL for interaction.
List Models:
```
ollama list
```
This command lists all the models that have been downloaded to your system.
Stop a Model:
```
ollama stop llama3.1:8b-instruct-q8_0
```
This command stops the specified running model.

Set System Prompt: Inside the Ollama REPL, you can set a system prompt to customize the model’s behavior:
```
>>> /set system For all questions asked answer in plain English avoiding technical jargon as much as possible
>>> /save ipe
>>> /bye
```
Then, run the customized model:
```
ollama run ipe
```
This sets a system prompt and saves the model for future use.
Create Custom Model File: Create a text file (e.g., custom_model.txt) with the following structure:
```
FROM llama3.1
SYSTEM [Your custom instructions here]
```
Then, run:
```
ollama create mymodel -f custom_model.txt
ollama run mymodel
```
This creates a customized model based on the instructions in the file[3].

Summarize Text from a File:
```
ollama run llama3.2 "Summarize the content of this file in 50 words." < input.txt
```
This command summarizes the content of input.txt using the specified model.
Log Model Responses to a File:
```
ollama run llama3.2 "Tell me about renewable energy." > output.txt
```
This command saves the model’s response to output.txt.

Text Generation:

Summarizing a large text file:

ollama run llama3.2 "Summarize the following text:" < long-document.txt

Generating content:

ollama run llama3.2 "Write a short article on the benefits of using AI in healthcare." > article.txt

Answering specific questions:

ollama run llama3.2 "What are the latest trends in AI, and how will they affect healthcare?"

Data Processing and Analysis:
- Classifying text into positive, negative, or neutral sentiment:
```
ollama run llama3.2 "Analyze the sentiment of this customer review: 'The product is fantastic, but delivery was slow.'"
```
- Categorizing text into predefined categories: Use similar commands to classify or categorize text based on predefined criteria.

Generate Text Using Python:

import ollama

response = ollama.generate(model='gemma:2b', prompt='what is a qubit?')
print(response['response'])

This code snippet generates text using the specified model and prompt.