--- title: "Aquila2 vs Awesome-AIGC-Tutorials" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/flagai-open-aquila2-vs-luban-agi-awesome-aigc-tutorials" tools: ["flagai-open-aquila2", "luban-agi-awesome-aigc-tutorials"] --- # Aquila2 vs Awesome-AIGC-Tutorials *GraphCanon updated Aug 25, 2026* ## Verdict Pick Aquila2 if official suite for Aquila2 series LLM by BAAI; pick Awesome-AIGC-Tutorials if awesome-AIGC-Tutorials supplies specialized guidance on Large Language Models and AI-generated artistry. [Aquila2](https://github.com/FlagAI-Open/Aquila2) reports 447 GitHub stars, 32 forks, and 2 open issues, last pushed Oct 11, 2024. [Awesome-AIGC-Tutorials](https://github.com/luban-agi/Awesome-AIGC-Tutorials) has 4.5k stars, 303 forks, and 10 open issues, last pushed Mar 31, 2024. Figures are from public GitHub metadata via [Aquila2's repository](https://github.com/FlagAI-Open/Aquila2) and [Awesome-AIGC-Tutorials's repository](https://github.com/luban-agi/Awesome-AIGC-Tutorials). | | [Aquila2](/tools/flagai-open-aquila2.md) | [Awesome-AIGC-Tutorials](/tools/luban-agi-awesome-aigc-tutorials.md) | | --- | --- | --- | | Tagline | Official repository for Aquila2 series large language models by BAAI | Curated tutorials and resources for Large Language Models, AI Painting, and more | | Stars | 447 | 4,522 | | Forks | 32 | 303 | | Open issues | 2 | 10 | | Language | Python | - | | Adopt for | Official suite for Aquila2 series LLM by BAAI | Awesome-AIGC-Tutorials supplies specialized guidance on Large Language Models and AI-generated artistry. | | Persona | - | - | | Runtime | - | - | | License | (unknown) | MIT license allows for free use in both open-source and proprietary products, with attribution required to the authors. | | Categories | Inference & Serving, LLM Frameworks, Model Training | Developer Tools, LLM Frameworks, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Aquila2](/tools/flagai-open-aquila2.md) | [Awesome-AIGC-Tutorials](/tools/luban-agi-awesome-aigc-tutorials.md) | | --- | --- | --- | | Days since push | 683d | 848d | | Open issues (now) | 2 | 10 | | Stars delta | +1 (30d) | Unknown | | Open issues delta | 0 (30d) | Unknown | | Full report | [trust report](/tools/flagai-open-aquila2/trust.md) | [trust report](/tools/luban-agi-awesome-aigc-tutorials/trust.md) | ## Shared compatibility - **Python**: [Aquila2](/tools/flagai-open-aquila2.md) - Python runtime; [Awesome-AIGC-Tutorials](/tools/luban-agi-awesome-aigc-tutorials.md) - Python runtime ## Decision facts: Aquila2 - **Adopt for:** Official suite for Aquila2 series LLM by BAAI - **License detail:** (unknown) ## Decision facts: Awesome-AIGC-Tutorials - **Requirements:** No specific technical prerequisites are listed. Basic understanding of AI concepts like LLMs and NLP is beneficial. - **Adopt for:** Awesome-AIGC-Tutorials supplies specialized guidance on Large Language Models and AI-generated artistry. - **License detail:** MIT license allows for free use in both open-source and proprietary products, with attribution required to the authors. ## Choose when ### Choose Aquila2 if… - Tags unique to Aquila2: llm-inference, llm-training. - Also covers Inference & Serving. - Need specialized support from Beijing Academy of Artificial Intelligence ### Choose Awesome-AIGC-Tutorials if… - Requirements: No specific technical prerequisites are listed. Basic understanding of AI concepts like LLMs and NLP is beneficial.. - Tags unique to Awesome-AIGC-Tutorials: ai, aigc, chatgpt, deep-learning. - Also covers Developer Tools. - If you aim to deepen your understanding of prompt engineering for models like MidJourney or Stable Diffusion, this repository offers focused tutorials and resources. ## When NOT to use Aquila2 - Require comprehensive API and documentation clarity - Preferring open source licensing details ## When NOT to use Awesome-AIGC-Tutorials - Avoid if you are looking for a one-stop-shop coding platform, as Awesome-AIGC-Tutorials provides theoretical knowledge and tutorials rather than practical code samples. - Not suitable if your focus is solely on the commercial deployment of large language models; this repository does not cover market-specific insights or competitive analysis. ## Common questions ### What is the difference between Aquila2 and Awesome-AIGC-Tutorials? Aquila2: Official repository for Aquila2 series large language models by BAAI. Awesome-AIGC-Tutorials: Curated tutorials and resources for Large Language Models, AI Painting, and more. See the comparison table for live GitHub stats and shared categories. ### When should I choose Aquila2 over Awesome-AIGC-Tutorials? Choose Aquila2 over Awesome-AIGC-Tutorials when Tags unique to Aquila2: llm-inference, llm-training; Also covers Inference & Serving; Need specialized support from Beijing Academy of Artificial Intelligence. ### When should I choose Awesome-AIGC-Tutorials over Aquila2? Choose Awesome-AIGC-Tutorials over Aquila2 when Requirements: No specific technical prerequisites are listed. Basic understanding of AI concepts like LLMs and NLP is beneficial.; Tags unique to Awesome-AIGC-Tutorials: ai, aigc, chatgpt, deep-learning; Also covers Developer Tools; If you aim to deepen your understanding of prompt engineering for models like MidJourney or Stable Diffusion, this repository offers focused tutorials and resources. ### When should I avoid Aquila2? Require comprehensive API and documentation clarity Preferring open source licensing details ### When should I avoid Awesome-AIGC-Tutorials? Avoid if you are looking for a one-stop-shop coding platform, as Awesome-AIGC-Tutorials provides theoretical knowledge and tutorials rather than practical code samples. Not suitable if your focus is solely on the commercial deployment of large language models; this repository does not cover market-specific insights or competitive analysis. ### Is Aquila2 or Awesome-AIGC-Tutorials more popular on GitHub? Awesome-AIGC-Tutorials has more GitHub stars (4,522 vs 447). Stars measure visibility, not whether either tool fits your constraints. ### Are Aquila2 and Awesome-AIGC-Tutorials open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to Aquila2 or Awesome-AIGC-Tutorials? GraphCanon lists graph-backed alternatives at [Aquila2 alternatives](/tools/flagai-open-aquila2/alternatives) and [Awesome-AIGC-Tutorials alternatives](/tools/luban-agi-awesome-aigc-tutorials/alternatives) ([Aquila2 markdown twin](/tools/flagai-open-aquila2/alternatives.md), [Awesome-AIGC-Tutorials markdown twin](/tools/luban-agi-awesome-aigc-tutorials/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/flagai-open-aquila2-vs-luban-agi-awesome-aigc-tutorials.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, Aquila2 or Awesome-AIGC-Tutorials? Aquila2: Dormant. Awesome-AIGC-Tutorials: 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 Aquila2 and Awesome-AIGC-Tutorials? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Aquila2 trust report](/tools/flagai-open-aquila2/trust); [Awesome-AIGC-Tutorials trust report](/tools/luban-agi-awesome-aigc-tutorials/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=flagai-open-aquila2`](/api/graphcanon/graph?tool=flagai-open-aquila2) - 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/_