--- title: "Aquila2 vs EAGLE" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/flagai-open-aquila2-vs-safeailab-eagle" tools: ["flagai-open-aquila2", "safeailab-eagle"] --- # Aquila2 vs EAGLE *GraphCanon updated Sep 20, 2026* ## Verdict Pick Aquila2 if official suite for Aquila2 series LLM by BAAI; pick EAGLE if eAGLE offers official implementations for its series of large language models with emphasis on inference and speculative decoding. [Aquila2](https://github.com/FlagAI-Open/Aquila2) reports 445 GitHub stars, 32 forks, and 2 open issues, last pushed Oct 11, 2024. [EAGLE](https://arxiv.org/pdf/2503.01840) has 2.5k stars, 298 forks, and 101 open issues, last pushed Feb 20, 2026. Figures are from public GitHub metadata via [Aquila2's repository](https://github.com/FlagAI-Open/Aquila2) and [EAGLE's repository](https://github.com/SafeAILab/EAGLE). | | [Aquila2](/tools/flagai-open-aquila2.md) | [EAGLE](/tools/safeailab-eagle.md) | | --- | --- | --- | | Tagline | Official repository for Aquila2 series large language models by BAAI | Official Implementation of EAGLE Series Models | | Stars | 445 | 2,535 | | Forks | 32 | 298 | | Open issues | 2 | 101 | | Language | Python | Python | | Adopt for | Official suite for Aquila2 series LLM by BAAI | EAGLE offers official implementations for its series of large language models with emphasis on inference and speculative decoding. | | Persona | - | - | | Runtime | - | - | | License | (unknown) | Other | | Categories | Inference & Serving, LLM Frameworks, Model Training | Inference & Serving, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Aquila2](/tools/flagai-open-aquila2.md) | [EAGLE](/tools/safeailab-eagle.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Slowing (36%) | | Days since push | 708d | 211d | | Open issues (now) | 2 | 101 | | Stars delta | -1 (30d) | +57 (30d) | | Full report | [trust report](/tools/flagai-open-aquila2/trust.md) | [trust report](/tools/safeailab-eagle/trust.md) | ## Shared compatibility - **Python**: [Aquila2](/tools/flagai-open-aquila2.md) - Python runtime; [EAGLE](/tools/safeailab-eagle.md) - Python runtime ## Decision facts: Aquila2 - **Adopt for:** Official suite for Aquila2 series LLM by BAAI - **License detail:** (unknown) ## Decision facts: EAGLE - **Adopt for:** EAGLE offers official implementations for its series of large language models with emphasis on inference and speculative decoding. ## Choose when ### Choose Aquila2 if… - Tags unique to Aquila2: llm, llm-training. - Also covers Model Training. - Need specialized support from Beijing Academy of Artificial Intelligence ### Choose EAGLE if… - Tags unique to EAGLE: large-language-models, speculative-decoding. - If your project requires the latest advancements in model capabilities from ICML'24, EMNLP'24, and NeurIPS'25 as provided by EAGLE-1, EAGLE-2, or EAGLE-3. - More GitHub stars (2.5k vs 445) - visibility, not fit. ## When NOT to use Aquila2 - Require comprehensive API and documentation clarity - Preferring open source licensing details ## When NOT to use EAGLE - If the specific advancements and techniques implemented in ICML'24 papers are not relevant to your project. - In cases where speculative decoding does not align with the goals or methods of your application, opting for EAGLE may not be beneficial. ## Common questions ### What is the difference between Aquila2 and EAGLE? Aquila2: Official repository for Aquila2 series large language models by BAAI. EAGLE: Official Implementation of EAGLE Series Models. See the comparison table for live GitHub stats and shared categories. ### When should I choose Aquila2 over EAGLE? Choose Aquila2 over EAGLE when Tags unique to Aquila2: llm, llm-training; Also covers Model Training; Need specialized support from Beijing Academy of Artificial Intelligence. ### When should I choose EAGLE over Aquila2? Choose EAGLE over Aquila2 when Tags unique to EAGLE: large-language-models, speculative-decoding; If your project requires the latest advancements in model capabilities from ICML'24, EMNLP'24, and NeurIPS'25 as provided by EAGLE-1, EAGLE-2, or EAGLE-3; More GitHub stars (2.5k vs 445) - visibility, not fit. ### When should I avoid Aquila2? Require comprehensive API and documentation clarity Preferring open source licensing details ### When should I avoid EAGLE? If the specific advancements and techniques implemented in ICML'24 papers are not relevant to your project. In cases where speculative decoding does not align with the goals or methods of your application, opting for EAGLE may not be beneficial. ### Is Aquila2 or EAGLE more popular on GitHub? EAGLE has more GitHub stars (2,535 vs 445). Stars measure visibility, not whether either tool fits your constraints. ### Are Aquila2 and EAGLE open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to Aquila2 or EAGLE? GraphCanon lists graph-backed alternatives at [Aquila2 alternatives](/tools/flagai-open-aquila2/alternatives) and [EAGLE alternatives](/tools/safeailab-eagle/alternatives) ([Aquila2 markdown twin](/tools/flagai-open-aquila2/alternatives.md), [EAGLE markdown twin](/tools/safeailab-eagle/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-safeailab-eagle.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, Aquila2 or EAGLE? Aquila2: Dormant. EAGLE: 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 Aquila2 and EAGLE? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Aquila2 trust report](/tools/flagai-open-aquila2/trust); [EAGLE trust report](/tools/safeailab-eagle/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/_