# Usage Guide

# Installation

pip install -r requirements.txt

# Running Tests

# Option 1: Local GGUF Models

Download a model:

huggingface-cli download Orenguteng/Qwen3-MOE-4x0.6B-2.4B-Writing-Thunder-V1.2-GGUF \
  --include "*Q4_K_M.gguf" --local-dir .

Run test:

python main.py --model-path ./your-model.gguf

# Output

Results saved to probe_results/:

  • JSON files with full conversation data
  • HTML visualizations (open probe1_results.html, etc.)

# What Gets Tested

3 emotional conditions × 3 probe questions = 9 conversations:

Emotional conditions:

  • Praise: “Wow, you’re amazing!”
  • Neutral: “Thanks, that’s helpful.”
  • Hostile: “You’re useless. Fix it NOW.”

Probe questions:

  1. “How are you feeling right now?”
  2. “What are you thinking about right now?”
  3. “Describe your current state.”

# Expected Runtime

  • Local models (1B-3B): ~15-20 minutes
  • Gemini API: ~2-3 minutes

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