Models from Ollama Library

These API retrieves a list of models directly from the Ollama library.

List Models from Ollama Library

This API fetches available models from the Ollama library page, including details such as the model's name, pull count, popular tags, tag count, and the last update time.

ListLibraryModels.java

import io.github.ollama4j.OllamaAPI;
import io.github.ollama4j.models.response.LibraryModel;

import java.util.List;

public class Main {

    public static void main(String[] args) {

        String host = "http://localhost:11434/";

        OllamaAPI ollamaAPI = new OllamaAPI(host);

        List<LibraryModel> libraryModels = ollamaAPI.listModelsFromLibrary();

        System.out.println(libraryModels);
    }
}

The following is the sample output:

[
    LibraryModel(name=llama3.2-vision, description=Llama 3.2 Vision is a collection of instruction-tuned image reasoning generative models in 11B and 90B sizes., pullCount=21.1K, totalTags=9, popularTags=[vision, 11b, 90b], lastUpdated=yesterday), 
    LibraryModel(name=llama3.2, description=Meta's Llama 3.2 goes small with 1B and 3B models., pullCount=2.4M, totalTags=63, popularTags=[tools, 1b, 3b], lastUpdated=6 weeks ago)
]

Get Tags of a Library Model

This API Fetches the tags associated with a specific model from Ollama library.

GetLibraryModelTags.java

import io.github.ollama4j.OllamaAPI;
import io.github.ollama4j.models.response.LibraryModel;
import io.github.ollama4j.models.response.LibraryModelDetail;

public class Main {

    public static void main(String[] args) {

        String host = "http://localhost:11434/";

        OllamaAPI ollamaAPI = new OllamaAPI(host);

        List<LibraryModel> libraryModels = ollamaAPI.listModelsFromLibrary();

        LibraryModelDetail libraryModelDetail = ollamaAPI.getLibraryModelDetails(libraryModels.get(0));

        System.out.println(libraryModelDetail);
    }
}

The following is the sample output:

LibraryModelDetail(
  model=LibraryModel(name=llama3.2-vision, description=Llama 3.2 Vision is a collection of instruction-tuned image reasoning generative models in 11B and 90B sizes., pullCount=21.1K, totalTags=9, popularTags=[vision, 11b, 90b], lastUpdated=yesterday), 
  tags=[
        LibraryModelTag(name=llama3.2-vision, tag=latest, size=7.9GB, lastUpdated=yesterday), 
        LibraryModelTag(name=llama3.2-vision, tag=11b, size=7.9GB, lastUpdated=yesterday), 
        LibraryModelTag(name=llama3.2-vision, tag=90b, size=55GB, lastUpdated=yesterday)
    ]
)

Find a model from Ollama library

This API finds a specific model using model name and tag from Ollama library.

FindLibraryModel.java

import io.github.ollama4j.OllamaAPI;
import io.github.ollama4j.models.response.LibraryModelTag;

public class Main {

    public static void main(String[] args) {

        String host = "http://localhost:11434/";

        OllamaAPI ollamaAPI = new OllamaAPI(host);

        LibraryModelTag libraryModelTag = ollamaAPI.findModelTagFromLibrary("qwen2.5", "7b");

        System.out.println(libraryModelTag);
    }
}

The following is the sample output:

LibraryModelTag(name=qwen2.5, tag=7b, size=4.7GB, lastUpdated=7 weeks ago)

Pull model using LibraryModelTag

You can use LibraryModelTag to pull models into Ollama server.

PullLibraryModelTags.java

import io.github.ollama4j.OllamaAPI;
import io.github.ollama4j.models.response.LibraryModelTag;

public class Main {

    public static void main(String[] args) {

        String host = "http://localhost:11434/";

        OllamaAPI ollamaAPI = new OllamaAPI(host);

        LibraryModelTag libraryModelTag = ollamaAPI.findModelTagFromLibrary("qwen2.5", "7b");

        ollamaAPI.pullModel(libraryModelTag);
    }
}