Project Title

open-llms — A Curated List of Open Large Language Models for Commercial Use

Overview

The open-llms project is a comprehensive repository that lists open-source Large Language Models (LLMs) available for commercial use. It stands out for its focus on models licensed under permissive licenses such as Apache 2.0 and OpenRAIL-M, making it a valuable resource for developers and businesses looking to leverage advanced language models without proprietary constraints.

Key Features

Comprehensive List: Includes a variety of LLMs with different parameter sizes and capabilities.
Commercial Use Licensing: All models listed are licensed for commercial use, reducing legal barriers for businesses.
Detailed Model Information: Provides release dates, checkpoints, papers/blogs, parameters, context length, and licensing details for each model.

Use Cases

Business Applications: Companies can use these models to develop AI-driven applications without worrying about licensing restrictions.
Research and Development: Researchers can experiment with different models to push the boundaries of natural language processing.
Educational Purposes: Educators can integrate these models into curricula to provide hands-on experience with state-of-the-art technology.

Advantages

Open-Source Accessibility: Enables a wide range of users to access powerful language models without the need for proprietary solutions.
Legal Clarity: Models are clearly marked with their licenses, simplifying the legal considerations for commercial use.
Community Contributions: The project encourages contributions, fostering a collaborative environment for expanding the list.

Limitations / Considerations

Model Performance: The performance of open-source models may vary and could be less optimized compared to proprietary counterparts.
Licensing Specifics: Users must carefully review the licensing terms of each model to ensure compliance with their use case.
Technical Expertise: Implementing and utilizing these models may require significant technical knowledge and resources.

Hugging Face Transformers: A library of state-of-the-art pre-trained models for natural language processing, differing in that it includes both open and proprietary models.
Google's BERT: A well-known open-source model, but not specifically focused on commercial use like the models listed in open-llms.
EleutherAI: Known for open-source models like GPT-NeoX, similar to those found in open-llms but as a standalone project rather than a curated list.

Basic Information

GitHub: https://github.com/eugeneyan/open-llms
Stars: 12,363
License: Unknown
Last Commit: 2025-09-18

📊 Project Information

Project Name: open-llms
GitHub URL: https://github.com/eugeneyan/open-llms
Programming Language: Unknown
⭐ Stars: 12,363
🍴 Forks: 914
📅 Created: 2023-05-05
🔄 Last Updated: 2025-09-18

🏷️ Project Topics

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📚 Documentation

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open-llms

Project Description