You may be looking for Java clients or SDKs to work with Ollama (the local LLM runner). Popular options:
Example with Ollama4j:
OllamaAPI api = new OllamaAPI("http://localhost:11434");
api.setVerbose(true);
GenerateRequest req = GenerateRequest.builder()
.model("llama2")
.prompt("Hello Java")
.build();
String response = api.generate(req).getResponse();
Load the pre-trained OLLAMAC model using the following code: ollamac java work
import org.ollamac.model.OllamacModel;
public class OllamacExample
public static void main(String[] args)
OllamacModel model = OllamacModel.load("path/to/model.zip");
A Java backend running inside a hospital’s firewall can process patient notes using Ollama + a small model like Meditron. The OllamaC integration ensures no data ever leaves the secure network. You may be looking for Java clients or
# Linux/macOS
curl -fsSL https://ollama.com/install.sh | sh