--- title: "Awesome-Chinese-LLM vs BELLE" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/aihubcn-awesome-chinese-llm-vs-lianjiatech-belle" tools: ["aihubcn-awesome-chinese-llm", "lianjiatech-belle"] --- # Awesome-Chinese-LLM vs BELLE *GraphCanon updated Sep 20, 2026* ## Verdict Pick Awesome-Chinese-LLM if awesome-Chinese-LLM is a curated list focusing on smaller, less computationally expensive Chinese language models suitable for private deployment; pick BELLE if bELLE is an open-source Chinese dialogue large model project that focuses on making high-quality instruction-following language models accessible to everyone. It provides instruction training data, models, training code,. [Awesome-Chinese-LLM](https://github.com/AiHubCN/Awesome-Chinese-LLM) reports 23k GitHub stars, 2.1k forks, and 27 open issues, last pushed May 10, 2026. [BELLE](https://github.com/LianjiaTech/BELLE) has 8.3k stars, 755 forks, and 106 open issues, last pushed Oct 16, 2024. Figures are from public GitHub metadata via [Awesome-Chinese-LLM's repository](https://github.com/AiHubCN/Awesome-Chinese-LLM) and [BELLE's repository](https://github.com/LianjiaTech/BELLE). | | [Awesome-Chinese-LLM](/tools/aihubcn-awesome-chinese-llm.md) | [BELLE](/tools/lianjiatech-belle.md) | | --- | --- | --- | | Tagline | 整理开源的中文大语言模型 | Open-source Chinese dialogue large model | | Stars | 22,738 | 8,270 | | Forks | 2,134 | 755 | | Open issues | 27 | 106 | | Language | - | HTML | | Adopt for | Awesome-Chinese-LLM is a curated list focusing on smaller, less computationally expensive Chinese language models suitable for private deployment. | BELLE is an open-source Chinese dialogue large model project that focuses on making high-quality instruction-following language models accessible to everyone. It provides instruction training data, models, training code, | | Persona | - | - | | Runtime | - | - | | License | - | BELLE is licensed under Apache-2.0, allowing for free use, modification, and distribution. | | Categories | LLM Frameworks, Model Training | Computer Vision, Evaluation & Observability, LLM Frameworks, Model Training, Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Awesome-Chinese-LLM](/tools/aihubcn-awesome-chinese-llm.md) | [BELLE](/tools/lianjiatech-belle.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Dormant (18%) | | Days since push | 98d | 701d | | Open issues (now) | 27 | 106 | | Stars delta | +53 (30d) | -10 (30d) | | Open issues delta | +3 (30d) | 0 (30d) | | Owner type | User | Organization | | Full report | [trust report](/tools/aihubcn-awesome-chinese-llm/trust.md) | [trust report](/tools/lianjiatech-belle/trust.md) | ## Shared compatibility - **ChatGPT**: [Awesome-Chinese-LLM](/tools/aihubcn-awesome-chinese-llm.md) - Works with ChatGPT; [BELLE](/tools/lianjiatech-belle.md) - Works with ChatGPT ## Decision facts: Awesome-Chinese-LLM - **Adopt for:** Awesome-Chinese-LLM is a curated list focusing on smaller, less computationally expensive Chinese language models suitable for private deployment. ## Decision facts: BELLE - **Requirements:** Min 8 GB RAM; Requires Docker; BELLE requires Docker for running the environment.; Ensure you have sufficient computational resources for training and inference. - **Adopt for:** BELLE is an open-source Chinese dialogue large model project that focuses on making high-quality instruction-following language models accessible to everyone. It provides instruction training data, models, training code, - **License detail:** BELLE is licensed under Apache-2.0, allowing for free use, modification, and distribution. ## Choose when ### Choose Awesome-Chinese-LLM if… - Tags unique to Awesome-Chinese-LLM: awesome-lists, chatglm, chinese, llm. - If you are looking to implement low-cost and efficient Chinese NLP solutions that can be deployed privately. - More GitHub stars (23k vs 8.3k) - visibility, not fit. ### Choose BELLE if… - Requirements: Min 8 GB RAM; Requires Docker; BELLE requires Docker for running the environment.; Ensure you have sufficient computational resources for training and inference.. - Tags unique to BELLE: bloom, chinese-nlp, gpt-evaluation, gpt-q. - Also covers Computer Vision, Evaluation & Observability, Speech & Audio. - Use BELLE when you need a Chinese-specific large language model that has been optimized for instruction-following tasks. ## When NOT to use Awesome-Chinese-LLM - Avoid if your project necessitates large-scale, highly advanced computational capabilities or you are working with languages other than Chinese. - If your deployment scenario is limited to public cloud services only without the option for private deployment. ## When NOT to use BELLE - Avoid BELLE if your project requires a language model that is not focused on Chinese, as it is specifically optimized for the Chinese language. - Do not use BELLE if you need a model that is trained on a diverse set of data beyond Chinese dialogue, as it primarily uses data generated by ChatGPT. - BELLE may not be suitable if you require a model that has not been fine-tuned on high-quality dialogue data, as it emphasizes instruction-following capabilities. ## Common questions ### What is the difference between Awesome-Chinese-LLM and BELLE? Awesome-Chinese-LLM: 整理开源的中文大语言模型. BELLE: Open-source Chinese dialogue large model. See the comparison table for live GitHub stats and shared categories. ### When should I choose Awesome-Chinese-LLM over BELLE? Choose Awesome-Chinese-LLM over BELLE when Tags unique to Awesome-Chinese-LLM: awesome-lists, chatglm, chinese, llm; If you are looking to implement low-cost and efficient Chinese NLP solutions that can be deployed privately; More GitHub stars (23k vs 8.3k) - visibility, not fit. ### When should I choose BELLE over Awesome-Chinese-LLM? Choose BELLE over Awesome-Chinese-LLM when Requirements: Min 8 GB RAM; Requires Docker; BELLE requires Docker for running the environment.; Ensure you have sufficient computational resources for training and inference.; Tags unique to BELLE: bloom, chinese-nlp, gpt-evaluation, gpt-q; Also covers Computer Vision, Evaluation & Observability, Speech & Audio; Use BELLE when you need a Chinese-specific large language model that has been optimized for instruction-following tasks. ### When should I avoid Awesome-Chinese-LLM? Avoid if your project necessitates large-scale, highly advanced computational capabilities or you are working with languages other than Chinese. If your deployment scenario is limited to public cloud services only without the option for private deployment. ### When should I avoid BELLE? Avoid BELLE if your project requires a language model that is not focused on Chinese, as it is specifically optimized for the Chinese language. Do not use BELLE if you need a model that is trained on a diverse set of data beyond Chinese dialogue, as it primarily uses data generated by ChatGPT. BELLE may not be suitable if you require a model that has not been fine-tuned on high-quality dialogue data, as it emphasizes instruction-following capabilities. ### Is Awesome-Chinese-LLM or BELLE more popular on GitHub? Awesome-Chinese-LLM has more GitHub stars (22,738 vs 8,270). Stars measure visibility, not whether either tool fits your constraints. ### Are Awesome-Chinese-LLM and BELLE open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to Awesome-Chinese-LLM or BELLE? GraphCanon lists graph-backed alternatives at [Awesome-Chinese-LLM alternatives](/tools/aihubcn-awesome-chinese-llm/alternatives) and [BELLE alternatives](/tools/lianjiatech-belle/alternatives) ([Awesome-Chinese-LLM markdown twin](/tools/aihubcn-awesome-chinese-llm/alternatives.md), [BELLE markdown twin](/tools/lianjiatech-belle/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/aihubcn-awesome-chinese-llm-vs-lianjiatech-belle.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, Awesome-Chinese-LLM or BELLE? Awesome-Chinese-LLM: Slowing. BELLE: 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-Chinese-LLM and BELLE? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Awesome-Chinese-LLM trust report](/tools/aihubcn-awesome-chinese-llm/trust); [BELLE trust report](/tools/lianjiatech-belle/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=aihubcn-awesome-chinese-llm`](/api/graphcanon/graph?tool=aihubcn-awesome-chinese-llm) - 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/_