--- title: "model_card vs Hands-On-Large-Language-Models" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/bigscience-workshop-model-card-vs-handsonllm-hands-on-large-language-models" tools: ["bigscience-workshop-model-card", "handsonllm-hands-on-large-language-models"] --- # model_card vs Hands-On-Large-Language-Models *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 Hands-On-Large-Language-Models if hands-On-Large-Language-Models offers code examples and educational content for large language models, as detailed in the O'Reilly book 'Hands-On Large Language Models'. The. [model_card](https://github.com/bigscience-workshop/model_card) reports 25 GitHub stars, 5 forks, and 0 open issues, last pushed Jul 11, 2022. [Hands-On-Large-Language-Models](https://www.llm-book.com/) has 29k stars, 6.7k forks, and 40 open issues, last pushed Apr 24, 2026. Figures are from public GitHub metadata via [model_card's repository](https://github.com/bigscience-workshop/model_card) and [Hands-On-Large-Language-Models's repository](https://github.com/HandsOnLLM/Hands-On-Large-Language-Models). | | [model_card](/tools/bigscience-workshop-model-card.md) | [Hands-On-Large-Language-Models](/tools/handsonllm-hands-on-large-language-models.md) | | --- | --- | --- | | Tagline | Model Card for BLOOM LM | Code for the book 'Hands-On Large Language Models' | | Stars | 25 | 29,162 | | Forks | 5 | 6,662 | | Open issues | 0 | 40 | | 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 | Hands-On-Large-Language-Models offers code examples and educational content for large language models, as detailed in the O'Reilly book 'Hands-On Large Language Models'. The repository is in Jupyter Notebook format and,遵 | | 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 | Developer Tools, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [model_card](/tools/bigscience-workshop-model-card.md) | [Hands-On-Large-Language-Models](/tools/handsonllm-hands-on-large-language-models.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Slowing (36%) | | Days since push | 1529d | 146d | | Open issues (now) | 0 | 40 | | Stars delta | -1 (30d) | +910 (30d) | | Open issues delta | 0 (30d) | +2 (30d) | | Full report | [trust report](/tools/bigscience-workshop-model-card/trust.md) | [trust report](/tools/handsonllm-hands-on-large-language-models/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: Hands-On-Large-Language-Models - **Adopt for:** Hands-On-Large-Language-Models offers code examples and educational content for large language models, as detailed in the O'Reilly book 'Hands-On Large Language Models'. The repository is in Jupyter Notebook format and,遵 ## 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 Hands-On-Large-Language-Models if… - Tags unique to Hands-On-Large-Language-Models: artificial-intelligence, book, large-language-models, llm. - Also covers Developer Tools. - Use this tool if you are looking for practical, code-based learning resources that align with the book 'Hands-On Large Language Models'. ## 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 Hands-On-Large-Language-Models - Avoid this tool if you are seeking a comprehensive theoretical background without practical examples, as the focus is on hands-on learning. - Not recommended for users who prefer a different platform for running code examples, as the repository is optimized for Google Colab with a T4 GPU and 16GB VRAM. - If you are looking for a tool that covers a broader range of AI topics beyond large language models, this repository may not be the best fit. ## Common questions ### What is the difference between model_card and Hands-On-Large-Language-Models? model_card: Model Card for BLOOM LM. Hands-On-Large-Language-Models: Code for the book 'Hands-On Large Language Models'. See the comparison table for live GitHub stats and shared categories. ### When should I choose model_card over Hands-On-Large-Language-Models? Choose model_card over Hands-On-Large-Language-Models 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 Hands-On-Large-Language-Models over model_card? Choose Hands-On-Large-Language-Models over model_card when Tags unique to Hands-On-Large-Language-Models: artificial-intelligence, book, large-language-models, llm; Also covers Developer Tools; Use this tool if you are looking for practical, code-based learning resources that align with the book 'Hands-On Large Language Models'. ### 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 Hands-On-Large-Language-Models? Avoid this tool if you are seeking a comprehensive theoretical background without practical examples, as the focus is on hands-on learning. Not recommended for users who prefer a different platform for running code examples, as the repository is optimized for Google Colab with a T4 GPU and 16GB VRAM. If you are looking for a tool that covers a broader range of AI topics beyond large language models, this repository may not be the best fit. ### Is model_card or Hands-On-Large-Language-Models more popular on GitHub? Hands-On-Large-Language-Models has more GitHub stars (29,162 vs 25). Stars measure visibility, not whether either tool fits your constraints. ### Are model_card and Hands-On-Large-Language-Models open source? Yes - both are open-source projects on GitHub (model_card: Apache-2.0, Hands-On-Large-Language-Models: Apache-2.0). ### Where can I find alternatives to model_card or Hands-On-Large-Language-Models? GraphCanon lists graph-backed alternatives at [model_card alternatives](/tools/bigscience-workshop-model-card/alternatives) and [Hands-On-Large-Language-Models alternatives](/tools/handsonllm-hands-on-large-language-models/alternatives) ([model_card markdown twin](/tools/bigscience-workshop-model-card/alternatives.md), [Hands-On-Large-Language-Models markdown twin](/tools/handsonllm-hands-on-large-language-models/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-handsonllm-hands-on-large-language-models.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, model_card or Hands-On-Large-Language-Models? model_card: Dormant. Hands-On-Large-Language-Models: Slowing. 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 Hands-On-Large-Language-Models? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [model_card trust report](/tools/bigscience-workshop-model-card/trust); [Hands-On-Large-Language-Models trust report](/tools/handsonllm-hands-on-large-language-models/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/_