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This shows you the differences between two versions of the page.

--- ai:llm:ollama [2025/02/13 09:06] – [Installation and Basic Usage] jmbargallo
+++ ai:llm:ollama [2025/02/18 17:09] (current) – [How to Run Ollama and Connect to the Service API Through Internal Network or Internet] 85.219.17.206
@@ Line 17: / Line 17: @@
    - After installation, open your system's terminal or command prompt.
    - Run models using simple commands. For example, to run the Mistral model, use:
-<code: bash>
+<code>
 ~$ ollama run mistral
 </code>
@@ Line 32: / Line 32: @@
   - **Data Security:** Data remains on the local device, eliminating the risk of data breaches from cloud services.
   - **High Performance:** Running models locally can offer faster responses depending on system specifications.
+====== Model library ======
+Ollama supports a list of models available on [ollama.com/library](https://ollama.com/library)
+Here are some example models that can be downloaded:
+^ Model                  ^ Parameters ^ Size   ^ Download Command                       ^
+| DeepSeek-R1            | 7B         | 4.7GB  | `ollama run deepseek-r1`               |
+| DeepSeek-R1            | 671B       | 404GB  | `ollama run deepseek-r1:671b`          |
+| Llama 3.3              | 70B        | 43GB   | `ollama run llama3.3`                  |
+| Llama 3.2              | 3B         | 2.0GB  | `ollama run llama3.2`                  |
+| Llama 3.2              | 1B         | 1.3GB  | `ollama run llama3.2:1b`               |
+| Llama 3.2 Vision       | 11B        | 7.9GB  | `ollama run llama3.2-vision`           |
+| Llama 3.2 Vision       | 90B        | 55GB   | `ollama run llama3.2-vision:90b`       |
+| Llama 3.1              | 8B         | 4.7GB  | `ollama run llama3.1`                  |
+| Llama 3.1              | 405B       | 231GB  | `ollama run llama3.1:405b`             |
+| Phi 4                  | 14B        | 9.1GB  | `ollama run phi4`                      |
+| Phi 3 Mini             | 3.8B       | 2.3GB  | `ollama run phi3`                      |
+| Gemma 2                | 2B         | 1.6GB  | `ollama run gemma2:2b`                 |
+| Gemma 2                | 9B         | 5.5GB  | `ollama run gemma2`                    |
+| Gemma 2                | 27B        | 16GB   | `ollama run gemma2:27b`                |
+| Mistral                | 7B         | 4.1GB  | `ollama run mistral`                   |
+| Moondream 2            | 1.4B       | 829MB  | `ollama run moondream`                 |
+| Neural Chat            | 7B         | 4.1GB  | `ollama run neural-chat`               |
+| Starling               | 7B         | 4.1GB  | `ollama run starling-lm`               |
+| Code Llama             | 7B         | 3.8GB  | `ollama run codellama`                 |
+| Llama 2 Uncensored     | 7B         | 3.8GB  | `ollama run llama2-uncensored`         |
+| LLaVA                  | 7B         | 4.5GB  | `ollama run llava`                     |
+| Solar                  | 10.7B      | 6.1GB  | `ollama run solar`                     |
+==== Note ====
+You should have at least 8 GB of RAM available to run the 7B models, 16 GB to run the 13B models, and 32 GB to run the 33B models.
+===== CLI Reference =====
+Create a model
+ollama create is used to create a model from a Modelfile.
+<code>
+ollama create mymodel -f ./Modelfile
+</code>
+Pull a model
+<code>
+ollama pull llama3.2
+</code>
+This command can also be used to update a local model. Only the diff will be pulled.
+Remove a model
+<code>
+ollama rm llama3.2
+</code>
+Copy a model
+<code>
+ollama cp llama3.2 my-model
+</code>
+Multiline input
+For multiline input, you can wrap text with """:
+<code>
+>>> """Hello,
+... world!
+... """
+I'm a basic program that prints the famous "Hello, world!" message to the console.
+</code>
+Multimodal models
+<code>
+ollama run llava "What's in this image? /Users/jmorgan/Desktop/smile.png"
+</code>
+Output: The image features a yellow smiley face, which is likely the central focus of the picture.
+Pass the prompt as an argument
+<code>
+ollama run llama3.2 "Summarize this file: $(cat README.md)"
+</code>
+Show model information
+<code>
+ollama show llama3.2
+</code>
+List models on your computer
+<code>
+ollama list
+</code>
+List which models are currently loaded
+<code>
+ollama ps
+</code>
+Stop a model which is currently running
+<code>
+ollama stop llama3.2
+</code>
+<code>
+Start Ollama
+ollama serve is used when you want to start ollama without running the desktop application.
+</code>
+===== How to Run Ollama and Connect to the Service API Through Internal Network or Internet =====
+Setting Environment Variables on Linux
+If Ollama is run as a systemd service, environment variables should be set using systemctl:
+Edit the Ollama Service File: Open the Ollama service configuration file with the following command:
+    sudo systemctl edit ollama.service
+Add the Environment Variable: In the editor, add the following lines under the [Service] section:
+    [Service]
+    Environment="OLLAMA_HOST=0.0.0.0"
+Note #1: Sometimes, 0.0.0.0 does not work due to your environment setup. Instead, you can try setting it to your local ip address like 10.0.0.x or xxx.local, etc.
+Note #2: You should put this above this line ### Lines below this comment will be discarded. It should look something like this:
+    ### Editing /etc/systemd/system/ollama.service.d/override.conf
+    ### Anything between here and the comment below will become the new contents of the file
+    [Service]
+    Environment="OLLAMA_HOST=0.0.0.0"
+    ### Lines below this comment will be discarded
+    ### /etc/systemd/system/ollama.service
+    # [Unit]
+    # Description=Ollama Service
+    # After=network-online.target
+    #
+    # [Service]
+    # ExecStart=/usr/local/bin/ollama serve
+    # User=ollama
+    # Group=ollama
+    # Restart=always
+    # RestartSec=3
+    # Environment="PATH=/home/kimi/.nvm/versions/node/v20.5.0/bin:/home/kimi/.local/share/pnpm:/usr/local/sbin:/usr/local/bin:/usr/s>
+    #
+    # [Install]
+    # WantedBy=default.target
+Restart the Service: After editing the file, reload the systemd daemon and restart the Ollama service:
+    sudo systemctl daemon-reload
+    sudo systemctl restart ollama
 ===== Learn More =====
 For more detailed information and tutorials, visit [Ollama's official website](https://ollama.com/) or check out this [video overview](https://www.youtube.com/watch?v=wxyDEqR4KxM).