--- title: "awesome-pretrained-chinese-nlp-models vs GLM-130B" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/lonepatient-awesome-pretrained-chinese-nlp-models-vs-zai-org-glm-130b" tools: ["lonepatient-awesome-pretrained-chinese-nlp-models", "zai-org-glm-130b"] --- # awesome-pretrained-chinese-nlp-models vs GLM-130B *GraphCanon updated Aug 17, 2026* ## Verdict Pick awesome-pretrained-chinese-nlp-models if a comprehensive collection of advanced Chinese NLP models including large language models and multimodal setups; pick GLM-130B if gLM-130B specializes in bilingual capabilities and is open source under the Apache-2.0 license. [awesome-pretrained-chinese-nlp-models](https://github.com/lonePatient/awesome-pretrained-chinese-nlp-models) reports 5.6k GitHub stars, 514 forks, and 6 open issues, last pushed Aug 14, 2026. [GLM-130B](https://github.com/zai-org/GLM-130B) has 7.7k stars, 600 forks, and 124 open issues, last pushed Jul 25, 2023. Figures are from public GitHub metadata via [awesome-pretrained-chinese-nlp-models's repository](https://github.com/lonePatient/awesome-pretrained-chinese-nlp-models) and [GLM-130B's repository](https://github.com/zai-org/GLM-130B). | | [awesome-pretrained-chinese-nlp-models](/tools/lonepatient-awesome-pretrained-chinese-nlp-models.md) | [GLM-130B](/tools/zai-org-glm-130b.md) | | --- | --- | --- | | Tagline | Curated list of high-quality Chinese pretrained NLP models | GLM-130B: An Open Bilingual Pre-Trained Model | | Stars | 5,579 | 7,656 | | Forks | 514 | 600 | | Open issues | 6 | 124 | | Language | Python | Python | | Adopt for | A comprehensive collection of advanced Chinese NLP models including large language models and multimodal setups. | GLM-130B specializes in bilingual capabilities and is open source under the Apache-2.0 license. | | Persona | - | - | | Runtime | - | - | | License | MIT | The GLM-130B codebase and framework are available under the permissive Apache-2.0 license; however, usage of model weights is governed by its own Model License. | | Categories | LLM Frameworks, Model Training | LLM Frameworks, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [awesome-pretrained-chinese-nlp-models](/tools/lonepatient-awesome-pretrained-chinese-nlp-models.md) | [GLM-130B](/tools/zai-org-glm-130b.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Dormant (18%) | | Days since push | 3d | 1103d | | Open issues (now) | 6 | 124 | | Stars delta | +8 (30d) | Unknown | | Open issues delta | 0 (30d) | Unknown | | Owner type | User | Organization | | Full report | [trust report](/tools/lonepatient-awesome-pretrained-chinese-nlp-models/trust.md) | [trust report](/tools/zai-org-glm-130b/trust.md) | ## Decision facts: awesome-pretrained-chinese-nlp-models - **Adopt for:** A comprehensive collection of advanced Chinese NLP models including large language models and multimodal setups. ## Decision facts: GLM-130B - **Pricing:** freemium - Free to use with specific licensing requirements for model weights. - **Requirements:** Min 8 GB RAM - **Adopt for:** GLM-130B specializes in bilingual capabilities and is open source under the Apache-2.0 license. - **License detail:** The GLM-130B codebase and framework are available under the permissive Apache-2.0 license; however, usage of model weights is governed by its own Model License. ## Choose when ### Choose awesome-pretrained-chinese-nlp-models if… - License: awesome-pretrained-chinese-nlp-models is MIT, GLM-130B is Apache-2.0. - Tags unique to awesome-pretrained-chinese-nlp-models: bert, chinese, dataset, ernie. - When developing applications requiring high-quality, Chinese-specific large language model support ### Choose GLM-130B if… - License: GLM-130B is Apache-2.0, awesome-pretrained-chinese-nlp-models is MIT. - Pricing: Free to use with specific licensing requirements for model weights.. - Requirements: Min 8 GB RAM. - Tags unique to GLM-130B: bilingual, iclr 2023, language-model, pre-trained. - Use GLM-130B when you need strong support for two languages to facilitate multilingual content creation or processing, given its specialized training in bilingual contexts. ## When NOT to use awesome-pretrained-chinese-nlp-models - If the application requires extensive Western-language model integration - Projects needing non-Chinese-specific fine-tuning or training will find limited utility ## When NOT to use GLM-130B - Avoid GLM-130B if your application demands single-language proficiency exclusively, as its strength lies specifically in bilingual support. - Do not use this model if you seek a resource with multilingual capabilities beyond two specific languages, since it focuses particularly on only a dual-language environment. ## Common questions ### What is the difference between awesome-pretrained-chinese-nlp-models and GLM-130B? awesome-pretrained-chinese-nlp-models: Curated list of high-quality Chinese pretrained NLP models. GLM-130B: GLM-130B: An Open Bilingual Pre-Trained Model. See the comparison table for live GitHub stats and shared categories. ### When should I choose awesome-pretrained-chinese-nlp-models over GLM-130B? Choose awesome-pretrained-chinese-nlp-models over GLM-130B when License: awesome-pretrained-chinese-nlp-models is MIT, GLM-130B is Apache-2.0; Tags unique to awesome-pretrained-chinese-nlp-models: bert, chinese, dataset, ernie; When developing applications requiring high-quality, Chinese-specific large language model support. ### When should I choose GLM-130B over awesome-pretrained-chinese-nlp-models? Choose GLM-130B over awesome-pretrained-chinese-nlp-models when License: GLM-130B is Apache-2.0, awesome-pretrained-chinese-nlp-models is MIT; Pricing: Free to use with specific licensing requirements for model weights.; Requirements: Min 8 GB RAM; Tags unique to GLM-130B: bilingual, iclr 2023, language-model, pre-trained; Use GLM-130B when you need strong support for two languages to facilitate multilingual content creation or processing, given its specialized training in bilingual contexts. ### When should I avoid awesome-pretrained-chinese-nlp-models? If the application requires extensive Western-language model integration Projects needing non-Chinese-specific fine-tuning or training will find limited utility ### When should I avoid GLM-130B? Avoid GLM-130B if your application demands single-language proficiency exclusively, as its strength lies specifically in bilingual support. Do not use this model if you seek a resource with multilingual capabilities beyond two specific languages, since it focuses particularly on only a dual-language environment. ### Is awesome-pretrained-chinese-nlp-models or GLM-130B more popular on GitHub? GLM-130B has more GitHub stars (7,656 vs 5,579). Stars measure visibility, not whether either tool fits your constraints. ### Are awesome-pretrained-chinese-nlp-models and GLM-130B open source? Yes - both are open-source projects on GitHub (awesome-pretrained-chinese-nlp-models: MIT, GLM-130B: Apache-2.0). ### Where can I find alternatives to awesome-pretrained-chinese-nlp-models or GLM-130B? GraphCanon lists graph-backed alternatives at [awesome-pretrained-chinese-nlp-models alternatives](/tools/lonepatient-awesome-pretrained-chinese-nlp-models/alternatives) and [GLM-130B alternatives](/tools/zai-org-glm-130b/alternatives) ([awesome-pretrained-chinese-nlp-models markdown twin](/tools/lonepatient-awesome-pretrained-chinese-nlp-models/alternatives.md), [GLM-130B markdown twin](/tools/zai-org-glm-130b/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/lonepatient-awesome-pretrained-chinese-nlp-models-vs-zai-org-glm-130b.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, awesome-pretrained-chinese-nlp-models or GLM-130B? awesome-pretrained-chinese-nlp-models: Very active. GLM-130B: 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 awesome-pretrained-chinese-nlp-models and GLM-130B? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [awesome-pretrained-chinese-nlp-models trust report](/tools/lonepatient-awesome-pretrained-chinese-nlp-models/trust); [GLM-130B trust report](/tools/zai-org-glm-130b/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=lonepatient-awesome-pretrained-chinese-nlp-models`](/api/graphcanon/graph?tool=lonepatient-awesome-pretrained-chinese-nlp-models) - 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/_