--- title: "model_card vs StableLM" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/bigscience-workshop-model-card-vs-stability-ai-stablelm" tools: ["bigscience-workshop-model-card", "stability-ai-stablelm"] --- # model_card vs StableLM *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 StableLM if stableLM is a series of language models from Stability AI, featuring models like StableLM-3B-4E1T, which is a 3 billion parameter model trained. [model_card](https://github.com/bigscience-workshop/model_card) reports 25 GitHub stars, 5 forks, and 0 open issues, last pushed Jul 11, 2022. [StableLM](https://github.com/Stability-AI/StableLM) has 16k stars, 1.0k forks, and 27 open issues, last pushed Apr 8, 2024. Figures are from public GitHub metadata via [model_card's repository](https://github.com/bigscience-workshop/model_card) and [StableLM's repository](https://github.com/Stability-AI/StableLM). | | [model_card](/tools/bigscience-workshop-model-card.md) | [StableLM](/tools/stability-ai-stablelm.md) | | --- | --- | --- | | Tagline | Model Card for BLOOM LM | Stability AI Language Models | | Stars | 25 | 15,678 | | Forks | 5 | 1,001 | | Open issues | 0 | 27 | | Language | - | Jupyter Notebook | | 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 | StableLM is a series of language models from Stability AI, featuring models like StableLM-3B-4E1T, which is a 3 billion parameter model trained on 4 trillion tokens over 4 epochs. The repository includes model updates, a | | Persona | - | - | | Runtime | - | - | | License | The model card is licensed under the Apache-2.0 license, allowing for broad use and modification with attribution. | Apache-2.0 | | Categories | Evaluation & Observability, LLM Frameworks | LLM Frameworks, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [model_card](/tools/bigscience-workshop-model-card.md) | [StableLM](/tools/stability-ai-stablelm.md) | | --- | --- | --- | | Days since push | 1529d | 892d | | Open issues (now) | 0 | 27 | | Stars delta | -1 (30d) | -6 (30d) | | Open issues delta | 0 (30d) | -1 (30d) | | Full report | [trust report](/tools/bigscience-workshop-model-card/trust.md) | [trust report](/tools/stability-ai-stablelm/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: StableLM - **Adopt for:** StableLM is a series of language models from Stability AI, featuring models like StableLM-3B-4E1T, which is a 3 billion parameter model trained on 4 trillion tokens over 4 epochs. The repository includes model updates, a ## 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 StableLM if… - Tags unique to StableLM: checkpoints, fine-tuning, language models, pre-training. - Also covers Model Training. - When you need a model that has been trained with a multi-epoch regime to study the impact of repeated tokens on performance, such as the StableLM-3B-4E1T model. ## 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 StableLM - If you need a model that is strictly under the Apache-2.0 license, as StableLM models are available under different licenses like CC BY-SA-4.0 and CC BY-NC-SA-4.0. - When you require a model that has not been trained with repeated tokens, as StableLM models like StableLM-3B-4E1T are specifically designed with this training method. - If your project requires a model that is not a decoder-only transformer with specific architecture modifications, such as the use of Rotary Position Embeddings. ## Common questions ### What is the difference between model_card and StableLM? model_card: Model Card for BLOOM LM. StableLM: Stability AI Language Models. See the comparison table for live GitHub stats and shared categories. ### When should I choose model_card over StableLM? Choose model_card over StableLM 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 StableLM over model_card? Choose StableLM over model_card when Tags unique to StableLM: checkpoints, fine-tuning, language models, pre-training; Also covers Model Training; When you need a model that has been trained with a multi-epoch regime to study the impact of repeated tokens on performance, such as the StableLM-3B-4E1T model. ### 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 StableLM? If you need a model that is strictly under the Apache-2.0 license, as StableLM models are available under different licenses like CC BY-SA-4.0 and CC BY-NC-SA-4.0. When you require a model that has not been trained with repeated tokens, as StableLM models like StableLM-3B-4E1T are specifically designed with this training method. If your project requires a model that is not a decoder-only transformer with specific architecture modifications, such as the use of Rotary Position Embeddings. ### Is model_card or StableLM more popular on GitHub? StableLM has more GitHub stars (15,678 vs 25). Stars measure visibility, not whether either tool fits your constraints. ### Are model_card and StableLM open source? Yes - both are open-source projects on GitHub (model_card: Apache-2.0, StableLM: Apache-2.0). ### Where can I find alternatives to model_card or StableLM? GraphCanon lists graph-backed alternatives at [model_card alternatives](/tools/bigscience-workshop-model-card/alternatives) and [StableLM alternatives](/tools/stability-ai-stablelm/alternatives) ([model_card markdown twin](/tools/bigscience-workshop-model-card/alternatives.md), [StableLM markdown twin](/tools/stability-ai-stablelm/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-stability-ai-stablelm.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, model_card or StableLM? model_card: Dormant. StableLM: 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 StableLM? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [model_card trust report](/tools/bigscience-workshop-model-card/trust); [StableLM trust report](/tools/stability-ai-stablelm/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/_