Function to load model on Spring Ollama · Issue #526 - GitHub
What are you planning to use (Spring Boot, Quarkus, or plain Java)?
import com.sun.jna.Library; import com.sun.jna.Native; ollamac java work
For developers who want a lightweight, direct connection, Ollama4j is a powerful, type-safe library designed specifically for the JVM. YouTube·Selenium Expresshttps://www.youtube.com
I can provide specific configuration templates or code examples tailored to your stack. Share public link Function to load model on Spring Ollama ·
| Mode | Avg Latency (ms) | Throughput (req/s) | Memory (MB heap) | |------------|------------------|--------------------|------------------| | Blocking | 187 | 5.3 | 45 | | Non‑blocking| 192 | 8.1 | 52 | | Streaming | 215 (TTFT*) | N/A | 48 |
If you are within the Spring ecosystem, Spring AI provides a robust abstraction layer, making Ollama integration trivial for Spring Boot applications. Practical Guide: Implementing Ollama in Java 1. Installation Share public link | Mode | Avg Latency
MediaType jsonType = MediaType.parse("application/json; charset=utf-8"); String json = ""model":"qwen2.5:0.5b","prompt":"Explain the Java memory model briefly","stream":false"; RequestBody body = RequestBody.create(json, jsonType);
– By default Ollama runs a REST API on port 11434 . Send a quick test: