---
title: "Awesome-Chinese-LLM vs self-llm"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/aihubcn-awesome-chinese-llm-vs-datawhalechina-self-llm"
tools: ["aihubcn-awesome-chinese-llm", "datawhalechina-self-llm"]
---

# Awesome-Chinese-LLM vs self-llm

*GraphCanon updated Aug 17, 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 self-llm if self-llm is a comprehensive guide and framework for fine-tuning and deploying various large language models (LLMs) and multimodal LLMs tailored specifically for Chinese users on the Linux operating system. Given its core.

[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. [self-llm](https://github.com/datawhalechina/self-llm) has 32k stars, 3.1k forks, and 164 open issues, last pushed Jul 30, 2026. Figures are from public GitHub metadata via [Awesome-Chinese-LLM's repository](https://github.com/AiHubCN/Awesome-Chinese-LLM) and [self-llm's repository](https://github.com/datawhalechina/self-llm).

| | [Awesome-Chinese-LLM](/tools/aihubcn-awesome-chinese-llm.md) | [self-llm](/tools/datawhalechina-self-llm.md) |
| --- | --- | --- |
| Tagline | 整理开源的中文大语言模型 | A guide for fine-tuning and deploying open-source large language models tailored for a Chinese audience on Linux. |
| Stars | 22,738 | 31,722 |
| Forks | 2,134 | 3,082 |
| Open issues | 27 | 164 |
| Language | - | Jupyter Notebook |
| Adopt for | Awesome-Chinese-LLM is a curated list focusing on smaller, less computationally expensive Chinese language models suitable for private deployment. | Self-llm is a comprehensive guide and framework for fine-tuning and deploying various large language models (LLMs) and multimodal LLMs tailored specifically for Chinese users on the Linux operating system. Given its core |
| Persona | - | - |
| Runtime | - | - |
| License | - | Licensed under Apache-2.0 |
| Categories | LLM Frameworks, Model Training | Inference & Serving, LLM Frameworks, Model Training |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [Awesome-Chinese-LLM](/tools/aihubcn-awesome-chinese-llm.md) | [self-llm](/tools/datawhalechina-self-llm.md) |
| --- | --- | --- |
| Maintenance | Slowing (36%) | Active (82%) |
| Days since push | 98d | 17d |
| Open issues (now) | 27 | 164 |
| Stars delta | +53 (30d) | +412 (30d) |
| Owner type | User | Organization |
| Full report | [trust report](/tools/aihubcn-awesome-chinese-llm/trust.md) | [trust report](/tools/datawhalechina-self-llm/trust.md) |

**Typed relationship:** Awesome-Chinese-LLM _(related)_ self-llm

Self-LLM is an open-source tutorial focused on Chinese users, which naturally connects with the collection efforts of Awesome-Chinese-LLM.

## Shared compatibility

- **LangChain**: [Awesome-Chinese-LLM](/tools/aihubcn-awesome-chinese-llm.md) - LangChain integration; [self-llm](/tools/datawhalechina-self-llm.md) - LangChain integration

## 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: self-llm

- **Pricing:** freemium
- **Adopt for:** Self-llm is a comprehensive guide and framework for fine-tuning and deploying various large language models (LLMs) and multimodal LLMs tailored specifically for Chinese users on the Linux operating system. Given its core
- **License detail:** Licensed under Apache-2.0

## Choose when

### Choose Awesome-Chinese-LLM if…

- Self-LLM is an open-source tutorial focused on Chinese users, which naturally connects with the collection efforts of Awesome-Chinese-LLM.
- Tags unique to Awesome-Chinese-LLM: awesome-lists, chinese, llama, llm.
- If you are looking to implement low-cost and efficient Chinese NLP solutions that can be deployed privately.

### Choose self-llm if…

- Self-LLM is an open-source tutorial focused on Chinese users, which naturally connects with the collection efforts of Awesome-Chinese-LLM.
- Tags unique to self-llm: chatglm3, gemma-2b-it, glm-4, internlm2.
- Also covers Inference & Serving.
- When you are targeting a Chinese-speaking audience and working within the Linux environment.

## 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 self-llm

- When the primary audience is not Chinese, since the content and examples might not align perfectly with other local contexts.
- If you are working outside of a Linux environment, self-llm does not provide support for other OS platforms such as Windows or macOS.
- For rapid deployments where detailed manual fine-tuning guidance is unnecessary; self-llm focuses on providing thorough tutorials which may require more time commitment.

## Common questions

### What is the difference between Awesome-Chinese-LLM and self-llm?

Awesome-Chinese-LLM: 整理开源的中文大语言模型. self-llm: A guide for fine-tuning and deploying open-source large language models tailored for a Chinese audience on Linux.. See the comparison table for live GitHub stats and shared categories.

### When should I choose Awesome-Chinese-LLM over self-llm?

Choose Awesome-Chinese-LLM over self-llm when Self-LLM is an open-source tutorial focused on Chinese users, which naturally connects with the collection efforts of Awesome-Chinese-LLM; Tags unique to Awesome-Chinese-LLM: awesome-lists, chinese, llama, llm; If you are looking to implement low-cost and efficient Chinese NLP solutions that can be deployed privately.

### When should I choose self-llm over Awesome-Chinese-LLM?

Choose self-llm over Awesome-Chinese-LLM when Self-LLM is an open-source tutorial focused on Chinese users, which naturally connects with the collection efforts of Awesome-Chinese-LLM; Tags unique to self-llm: chatglm3, gemma-2b-it, glm-4, internlm2; Also covers Inference & Serving; When you are targeting a Chinese-speaking audience and working within the Linux environment.

### 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 self-llm?

When the primary audience is not Chinese, since the content and examples might not align perfectly with other local contexts. If you are working outside of a Linux environment, self-llm does not provide support for other OS platforms such as Windows or macOS. For rapid deployments where detailed manual fine-tuning guidance is unnecessary; self-llm focuses on providing thorough tutorials which may require more time commitment.

### Is Awesome-Chinese-LLM or self-llm more popular on GitHub?

self-llm has more GitHub stars (31,722 vs 22,738). Stars measure visibility, not whether either tool fits your constraints.

### Are Awesome-Chinese-LLM and self-llm open source?

Yes - both are open-source projects on GitHub.

### Where can I find alternatives to Awesome-Chinese-LLM or self-llm?

GraphCanon lists graph-backed alternatives at [Awesome-Chinese-LLM alternatives](/tools/aihubcn-awesome-chinese-llm/alternatives) and [self-llm alternatives](/tools/datawhalechina-self-llm/alternatives) ([Awesome-Chinese-LLM markdown twin](/tools/aihubcn-awesome-chinese-llm/alternatives.md), [self-llm markdown twin](/tools/datawhalechina-self-llm/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-datawhalechina-self-llm.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 self-llm?

Awesome-Chinese-LLM: Slowing. self-llm: Active. 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 self-llm?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Awesome-Chinese-LLM trust report](/tools/aihubcn-awesome-chinese-llm/trust); [self-llm trust report](/tools/datawhalechina-self-llm/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/_