otat 0.1.1

Vision-Language Model Interpretability Analysis - One Token at a Time

Interpretability Core

Vision-Language Model Interpretability Analysis toolkit for analyzing attention patterns in models like LLaVA and Qwen-VL.

Installation

From PyPI (when published)

pip install otat

From GitHub

pip install [e-mail]:varungupta31/otat_api.git

Local Development

git clone https://github.com/varungupta31/otat_api.git
cd otat_api
pip install -e .

Quick Start

from interpretability.api.wrapper import InterpretabilityAnalyzer

# Initialize analyzer
analyzer = InterpretabilityAnalyzer(
    model_type="llava_onevision",
    model_id="llava-hf/llava-onevision-qwen2-0.5b-ov-hf"
)

# Run analysis
result = analyzer.analyze(
    image_path="path/to/image.jpg",
    task_text="What is in this image?",
    instruction="Answer briefly.",
    blocking_mode="none",
    num_tokens=20
)

print(result['output_tokens'])
print(result['series'])  # Attention patterns

Features

• 🔍 Attention pattern analysis for VLMs
• 🎯 Support for LLaVA, Qwen-VL, and Qwen2-LLM
• 🚫 Attention blocking experiments
• 📊 Token-level attention aggregation

License

MIT

3. Verify Your Project Structure

Make sure it looks like this:

otat_api/  (or interpretability-core/)
├── pyproject.toml          # ✅ Just created
├── README.md               # ✅ Just created
├── LICENSE                 # Optional but recommended
├── .gitignore             # Recommended
├── src/
│   └── interpretability/
│       ├── __init__.py    # ⚠️ Make sure this exists!
│       ├── api/
│       │   ├── __init__.py
│       │   └── wrapper.py
│       ├── models/
│       │   ├── __init__.py
│       │   ├── base_handler.py
│       │   ├── llava_onevision.py
│       │   ├── qwen2_llm.py
│       │   └── qwen_25_vl.py
│       ├── tasks/
│       │   ├── __init__.py
│       │   ├── base_task.py
│       │   ├── web_api_task.py
│       │   └── ...
│       ├── analysis/
│       │   ├── __init__.py
│       │   ├── extractor_aggregated.py
│       │   └── ...
│       ├── utils/
│       │   ├── __init__.py
│       │   └── ...
│       └── prompts/
│           └── ...
└── scripts/
    └── run_analysis.py