--- title: "model_card vs open-llms" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/bigscience-workshop-model-card-vs-eugeneyan-open-llms" tools: ["bigscience-workshop-model-card", "eugeneyan-open-llms"] --- # model_card vs open-llms *GraphCanon updated Sep 20, 2026* ## Verdict Pick model_card if the model_card for BLOOM LM provides comprehensive details on the development, training data, risks, and evaluation of a large, multilingual language model. It is useful for researchers and developers working with multil; pick open-llms if open-llms is a curated list of open-source large language models (LLMs) that are licensed for commercial use, providing details such as release. [model_card](https://github.com/bigscience-workshop/model_card) reports 25 GitHub stars, 5 forks, and 0 open issues, last pushed Jul 11, 2022. [open-llms](https://github.com/eugeneyan/open-llms) has 13k stars, 988 forks, and 10 open issues, last pushed Feb 13, 2025. Figures are from public GitHub metadata via [model_card's repository](https://github.com/bigscience-workshop/model_card) and [open-llms's repository](https://github.com/eugeneyan/open-llms). | | [model_card](/tools/bigscience-workshop-model-card.md) | [open-llms](/tools/eugeneyan-open-llms.md) | | --- | --- | --- | | Tagline | Model Card for BLOOM LM | A list of open LLMs available for commercial use | | Stars | 25 | 12,876 | | Forks | 5 | 988 | | Open issues | 0 | 10 | | Language | - | - | | Adopt for | The model_card for BLOOM LM provides comprehensive details on the development, training data, risks, and evaluation of a large, multilingual language model. It is useful for researchers and developers working with multil | open-llms is a curated list of open-source large language models (LLMs) that are licensed for commercial use, providing details such as release date, parameters, context length, and licensing terms. | | Persona | - | - | | Runtime | - | - | | License | The model card is licensed under the Apache-2.0 license, allowing for broad use and modification with attribution. | The repository itself is licensed under Apache-2.0, but the models listed have various licenses, including Apache 2.0, MIT, and OpenRAIL-M. | | Categories | Evaluation & Observability, LLM Frameworks | LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [model_card](/tools/bigscience-workshop-model-card.md) | [open-llms](/tools/eugeneyan-open-llms.md) | | --- | --- | --- | | Days since push | 1529d | 582d | | Open issues (now) | 0 | 10 | | Stars delta | -1 (30d) | +27 (30d) | | Open issues delta | 0 (30d) | -1 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/bigscience-workshop-model-card/trust.md) | [trust report](/tools/eugeneyan-open-llms/trust.md) | ## Decision facts: model_card - **Requirements:** The model card is intended for use with the BLOOM language model and provides details on its architecture, training data, and evaluation.; It is recommended to refer to the BLOOM model card for comprehensive information before using the model in any application. - **Adopt for:** The model_card for BLOOM LM provides comprehensive details on the development, training data, risks, and evaluation of a large, multilingual language model. It is useful for researchers and developers working with multil - **License detail:** The model card is licensed under the Apache-2.0 license, allowing for broad use and modification with attribution. ## Decision facts: open-llms - **Pricing:** freemium - The repository is free to use, but the commercial use of the models listed may require adherence to their respective licensing terms. - **Requirements:** Min 8 GB RAM; The specific requirements for running the models listed in the repository vary and should be checked individually. - **Adopt for:** open-llms is a curated list of open-source large language models (LLMs) that are licensed for commercial use, providing details such as release date, parameters, context length, and licensing terms. - **License detail:** The repository itself is licensed under Apache-2.0, but the models listed have various licenses, including Apache 2.0, MIT, and OpenRAIL-M. ## Choose when ### Choose model_card if… - Requirements: The model card is intended for use with the BLOOM language model and provides details on its architecture, training data, and evaluation.; It is recommended to refer to the BLOOM model card for comprehensive information before using the model in any application.. - Tags unique to model_card: bigscience, bloom, language-model, model card. - Also covers Evaluation & Observability. - When you need detailed information on the development and training of BLOOM, a large multilingual language model. ### Choose open-llms if… - Pricing: The repository is free to use, but the commercial use of the models listed may require adherence to their respective licensing terms.. - Requirements: Min 8 GB RAM; The specific requirements for running the models listed in the repository vary and should be checked individually.. - Tags unique to open-llms: commercial, large-language-models, llm, llms. - When you need a comprehensive list of open-source LLMs that are licensed for commercial use, including details like release date, parameters, and context length. ## When NOT to use model_card - If you are looking for a model card for a different language model, as this card is specific to BLOOM. - When you need real-time updates or interactive features, as the model card is static and does not provide dynamic information. - If you require a model card for a proprietary or closed-source model, as BLOOM is an open-access model. - When you need a model card that includes specific use cases or applications beyond the general information provided. ## When NOT to use open-llms - If you need models that are not open-source or are not licensed for commercial use, as open-llms exclusively lists models that are both open-source and commercially usable. - When you require real-time updates or the latest models not yet included in the repository, as the list may not be updated as frequently as other sources. - If you are looking for models with specific features not covered in the repository, such as fine-tuned models for particular tasks, as the repository focuses on general model information. ## Common questions ### What is the difference between model_card and open-llms? model_card: Model Card for BLOOM LM. open-llms: A list of open LLMs available for commercial use. See the comparison table for live GitHub stats and shared categories. ### When should I choose model_card over open-llms? Choose model_card over open-llms when Requirements: The model card is intended for use with the BLOOM language model and provides details on its architecture, training data, and evaluation.; It is recommended to refer to the BLOOM model card for comprehensive information before using the model in any application.; Tags unique to model_card: bigscience, bloom, language-model, model card; Also covers Evaluation & Observability; When you need detailed information on the development and training of BLOOM, a large multilingual language model. ### When should I choose open-llms over model_card? Choose open-llms over model_card when Pricing: The repository is free to use, but the commercial use of the models listed may require adherence to their respective licensing terms.; Requirements: Min 8 GB RAM; The specific requirements for running the models listed in the repository vary and should be checked individually.; Tags unique to open-llms: commercial, large-language-models, llm, llms; When you need a comprehensive list of open-source LLMs that are licensed for commercial use, including details like release date, parameters, and context length. ### When should I avoid model_card? If you are looking for a model card for a different language model, as this card is specific to BLOOM. When you need real-time updates or interactive features, as the model card is static and does not provide dynamic information. If you require a model card for a proprietary or closed-source model, as BLOOM is an open-access model. When you need a model card that includes specific use cases or applications beyond the general information provided. ### When should I avoid open-llms? If you need models that are not open-source or are not licensed for commercial use, as open-llms exclusively lists models that are both open-source and commercially usable. When you require real-time updates or the latest models not yet included in the repository, as the list may not be updated as frequently as other sources. If you are looking for models with specific features not covered in the repository, such as fine-tuned models for particular tasks, as the repository focuses on general model information. ### Is model_card or open-llms more popular on GitHub? open-llms has more GitHub stars (12,876 vs 25). Stars measure visibility, not whether either tool fits your constraints. ### Are model_card and open-llms open source? Yes - both are open-source projects on GitHub (model_card: Apache-2.0, open-llms: Apache-2.0). ### Where can I find alternatives to model_card or open-llms? GraphCanon lists graph-backed alternatives at [model_card alternatives](/tools/bigscience-workshop-model-card/alternatives) and [open-llms alternatives](/tools/eugeneyan-open-llms/alternatives) ([model_card markdown twin](/tools/bigscience-workshop-model-card/alternatives.md), [open-llms markdown twin](/tools/eugeneyan-open-llms/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/bigscience-workshop-model-card-vs-eugeneyan-open-llms.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, model_card or open-llms? model_card: Dormant. open-llms: Dormant. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for model_card and open-llms? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [model_card trust report](/tools/bigscience-workshop-model-card/trust); [open-llms trust report](/tools/eugeneyan-open-llms/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=bigscience-workshop-model-card`](/api/graphcanon/graph?tool=bigscience-workshop-model-card) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_