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Open LLMs, by the same author behind applied-ml — serves as a curated directory of open large language models (LLMs) that are available for commercial or open-source use. Rather than proprietary or closed-source LLMs, this repo focuses on freely available or permissively licensed models that practitioners can download, run, fine-tune or integrate without restrictive licensing. For teams or developers interested in experimenting with LLMs but wanting to avoid vendor lock-in or licensing constraints, open-llms offers a practical starting point. It aggregates metadata, licensing info, and often pointers to the model weights or model cards — helping users quickly compare models by size, license, domain, and capabilities. By compiling this in one place, open-llms reduces friction in exploring the LLM space, making it easier to try different models, benchmark them, or build custom applications.
Features
- Directory of open-source (or commercially usable) large language models (LLMs)
- Metadata and licensing information to help choose models based on constraints
- Links to model weights or model cards when available for easy download or evaluation
- Facilitates experimentation with multiple LLMs — helps compare size, license, domain, performance tradeoffs
- Lowers barrier to entry for developers who want to build LLM-powered tools without vendor lock-in
- Useful for research, prototyping, or production use with open-source language models
Project Samples
