lmms-eval

Multimodal Evaluation Toolkit for Text, Image, Video, and Audio Tasks

EstablishedOpen SourceLow lock-in

Pricing

See website

Flat rate

Adoption

Stable

License

Open Source

Data freshness

Overview

What is lmms-eval?

lmms-eval is a comprehensive evaluation toolkit designed to assess the performance of multimodal models across various tasks including text, image, video, and audio. It provides developers with a unified framework to evaluate different aspects of their models efficiently.

Key differentiator

lmms-eval stands out as a comprehensive and extensible toolkit for evaluating multimodal models, offering support across text, image, video, and audio tasks in one unified framework.

Capability profile

Strength Radar

Unified evaluati…Supports text, i…Extensible archi…

Honest assessment

Strengths & Weaknesses

↑ Strengths

Unified evaluation framework for multimodal tasks

Supports text, image, video, and audio evaluations

Extensible architecture to integrate new evaluation metrics

Fit analysis

Who is it for?

✓ Best for

Research teams needing a comprehensive evaluation toolkit for multimodal tasks

Developers working on projects that require performance assessment of models across different modalities

✕ Not a fit for

Teams requiring real-time model evaluation (batch processing only)

Projects with strict licensing requirements incompatible with NOASSERTION license

Cost structure

Pricing

Free Tier

None

Starts at

See website

Model

Flat rate

Enterprise

None

Performance benchmarks

How Fast Is It?

Ecosystem

Relationships

Alternatives

Next step

Get Started with lmms-eval

Step-by-step setup guide with code examples and common gotchas.

View Setup Guide →