Evaluate open-source
models smarter

Welcome to a new era of model analysis and validation.
Effortless evaluations, verifications, and trust checks 🧠 🔍

Security Check

Review security scan results to highlight malware and serialization vulnerabilities, ensuring model safety and efficiency.

Dataset Evaluation

Assess the quality of datasets used for training, ensuring robust and suitable data for reliable model performance.

Contributor Reputation

Evaluate the credibility of the model’s contributor, providing insights into their trustworthiness and expertise.

Licensing Compliance

Identify and flag problematic or non-compliant licenses, ensuring the model adheres to legal and ethical standards.