Open Source🦙 Open-source ready
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Open-Source LLM Evaluation

Evaluate and document open-source models — no proprietary APIs needed

Best for

AI engineers, ML teams, open-source enthusiasts

What you end up with

Full evaluation report with model comparison and implementation guide

How it works

  • ✓Each step generates one document
  • ✓Context flows automatically to the next step
  • ✓Pick any AI model — or open-source only
  • ✓Every step saved as a spec in your project

Free account · Up to 5 specs · No credit card

4-Step Workflow

1

Evaluation Criteria

direct_llmquery

Set the benchmarks, tasks, and scoring methodology

output flows to step 2
2

Model Comparison

comparison_matrix

Compare open-source models on the defined criteria

output flows to step 3
3

Analysis Report

audit_report

Document findings with strengths, weaknesses, and recommendations per model

output flows to step 4
4

Implementation Guide

howto_tutorial

Write the practical guide for deploying the chosen model in production

✓ workflow complete

Your completed workflow

All 4 documents are saved to your project, cross-linked, and ready to export as PDF or DOCX...

Run this workflow yourself

Free account · 4 specs · Any AI model

Other workflows

🚀 Startup Launch Workflow📊 Research-to-Report Workflow🔍 Product Discovery Workflow