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ollama-inference-test

Benchmark local Ollama inference with status checks and response time tests.

2|Updated Feb 16, 2026
Search Tags:#testing#performance#llm#benchmark#inference#ollama
One-click install
npx skills add https://github.com/dmzoneill/skills --skill ollama-inference-test
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ollama-inference-test
Source: https://github.com/dmzoneill/skills/tree/main/ollama-inference-test
Command: npx skills add https://github.com/dmzoneill/skills --skill ollama-inference-test

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps users test, benchmark, and ensure the proper functioning of their local Ollama inference server and models.

Core Features & Use Cases

  • Status Check: Verify if the Ollama server is running and accessible.
  • Model Testing: Run inference tests for specific models to check their availability and basic functionality.
  • Performance Benchmarking: Measure the response time of the Ollama server for inference tasks.
  • Use Case: When you suspect your Ollama setup isn't performing optimally or a model isn't responding, use this skill to diagnose and verify its status and performance.

Quick Start

Run a status check on your Ollama server.

Frequently Asked Questions about ollama-inference-test

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I check if my Ollama server is running and accessible?▼

To check if your Ollama server is running, you can verify the service status using systemctl and test the API endpoint accessibility with curl. This status check confirms server availability and ensures the local environment is ready for inference tasks.

How do I benchmark Ollama inference response times for a specific model?▼

You benchmark Ollama inference response times by executing timed API requests using curl against the local server. This performance benchmarking measures the exact response duration for specified models, helping diagnose suboptimal processing speed.

Why does my Ollama model not respond during local inference?▼

Ollama model inference failures often occur when the server is inactive or the specified model is unavailable. Running an inference test checks model availability and basic functionality, verifying whether the model is properly loaded and responding.

Can I test Ollama model availability without running a full inference task?▼

Yes, you can test Ollama model availability by running a basic inference test targeting a specified model. This checks whether the model is loaded and functioning without requiring a complex or lengthy generation process.

What is the best way to diagnose Ollama performance issues?▼

The best way to diagnose Ollama performance issues is to run a performance benchmark that measures response times via curl API requests. This identifies latency bottlenecks and verifies whether the local setup is performing optimally.

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