Helm

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helm is an open-source Python framework for evaluating language models. It provides holistic, reproducible, and transparent assessment for LLMs and multimodal models.

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At a glance

Pricing

open-source

Free tier

Yes

API

—

Skill level

Technical

About

What is helm?

helm is an open-source Python framework developed by Stanford's CRFM, specifically designed for evaluating language models. It supports a holistic, reproducible, and transparent assessment methodology, making it suitable for analyzing the performance of large language models (LLMs) and multimodal models. The framework aims to provide a standardized approach to understanding the capabilities and limitations of these advanced AI models.

Best used for

Evaluating and benchmarking large language models and multimodal models in a holistic and reproducible manner.

Common actions

Evaluate LLMs

Benchmark AI models

Reproduce model evaluations

Analyze model performance

Research language models

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Capabilities

Key features

Open-source
Python framework
Evaluate language models
Holistic assessment
Reproducible evaluation

Target Audience

AI ResearchersMachine Learning EngineersData ScientistsAcademics

Integrations

Not yet documented

Pricing & Plans

open-source

Free

FAQs

Does helm have a cost associated with its use?

No, helm is an open-source Python framework developed by Stanford's CRFM, meaning it is completely free to use and modify under its open-source license.

What types of models can be evaluated using helm?

helm is designed to evaluate a wide range of advanced AI models, including large language models (LLMs) and multimodal models, providing a standardized assessment of their capabilities.

Is helm suitable for users who are new to evaluating language models?

Given its advanced nature and focus on holistic, reproducible evaluation, helm is best suited for users with a solid understanding of language models and evaluation methodologies, rather than complete beginners.

Can I contribute to the development of helm or extend its functionality?

Yes, as an open-source framework, helm encourages community contributions. You can extend its functionality, add new evaluation metrics, or contribute to its codebase on platforms like GitHub.

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