explaingit

ulyssestenn/omt

Analysis updated 2026-05-18

40PythonAudience · developerComplexity · 2/5Setup · easy

TLDR

A command-line script that runs the same prompt through multiple local Ollama models and saves the responses side by side for comparison.

Mindmap

mindmap
  root((omt))
    What it does
      Compares local AI models
      Runs same prompt repeatedly
      Saves responses to files
    Tech stack
      Python
      Ollama
    Use cases
      Compare model quality
      Test response consistency
      Automate via CLI flags
    Audience
      Developers using Ollama
      Local LLM experimenters

Code map

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What do people build with it?

USE CASE 1

Compare how several locally installed Ollama models respond to the exact same prompt.

USE CASE 2

Test one model's consistency by running the same prompt multiple times at a set temperature.

USE CASE 3

Automate model comparisons in a script using command-line flags instead of interactive prompts.

USE CASE 4

Review saved response files with timing and token count data to judge speed versus quality.

What is it built with?

PythonOllama

How does it compare?

ulyssestenn/omtasimons81/hermes-dreamingbaskduf/harness-starter-kit
Stars404040
LanguagePythonPythonPython
Setup difficultyeasymoderateeasy
Complexity2/53/52/5
Audiencedeveloperdeveloperdeveloper

Figures from each repo's GitHub metadata at analysis time.

How do you get it running?

Difficulty · easy Time to first run · 5min

Requires Python 3.7 and a running Ollama instance, uses only the standard library, no pip packages.

In plain English

Ollama Model Tester is a simple command-line script that helps you compare AI models running locally on your machine. Ollama is a tool that lets you run AI language models (like Llama or Gemma) on your own computer rather than sending data to a cloud service. This script sits on top of Ollama and makes it easy to test how different models respond to the same question. The basic use case is: you have a task in mind, you want to know which of your installed models handles it best, so you run the same prompt through several models and save all the responses to files you can read and compare at your leisure. You can also run the same prompt through one model multiple times to see how consistent or varied its answers are, which is controlled by the temperature setting (higher temperatures produce more varied responses). Running the script asks you a few questions interactively: which model to use, what prompt to send, how many times to run it, and what temperature to use. All of those questions can also be answered via command-line flags, making it straightforward to script or automate. Results are saved in a folder named after the first few words of your prompt. All responses to the same prompt, regardless of which model generated them, land in the same folder. Each model gets its own file inside that folder containing its responses along with timing data and token counts that Ollama reports. The script requires no installation beyond Python 3.7 and a running Ollama instance. It uses only Python's built-in standard library, so there are no packages to install with pip. The README does not mention a license.

Copy-paste prompts

Prompt 1
Run this prompt through all my installed Ollama models and save the responses for comparison.
Prompt 2
Use omt to test how consistent llama3 is by running the same prompt 5 times at temperature 0.7.
Prompt 3
Show me the command-line flags for omt so I can automate model comparisons in a script.
Prompt 4
Compare timing and token counts across models for this prompt using omt.
Prompt 5
Set up omt with Python 3.7 and a running Ollama instance on my machine.

Frequently asked questions

What is omt?

A command-line script that runs the same prompt through multiple local Ollama models and saves the responses side by side for comparison.

What language is omt written in?

Mainly Python. The stack also includes Python, Ollama.

How hard is omt to set up?

Setup difficulty is rated easy, with roughly 5min to a first successful run.

Who is omt for?

Mainly developer.

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