Home/Compare/Aquila2 vs Eagle

Comparison

Aquila2 vs Eagle

Verdict

Pick Aquila2 if official suite for Aquila2 series LLM by BAAI; pick Eagle if eagle: Frontier Vision-Language Models with Data-Centric Strategies.

Markdown twin · Aquila2 alternatives · Eagle alternatives

GraphCanon updated today

Aquila2 logo

Aquila2

FlagAI-Open/Aquila2

447pushed Oct 11, 2024
vs
Eagle logo

Eagle

NVlabs/Eagle

3.4kpushed Jun 24, 2026

Trust & integrity

SignalAquila2Eagle
Maintenance
Dormant (683d since push)
As of today · github_public_v1
Steady (54d since push)
As of 1w · github_public_v1
Provenance
Not a fork · Organization account
As of today · github_public_v1
Not a fork · Organization account
As of 1w · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of 1mo · osv@v1
No lockfile (source not queried)
As of 1mo · osv@v1
deps.dev advisories
Not queried
deps.dev@v1
Not queried
deps.dev@v1
OpenSSF Scorecard
Not queried
openssf-scorecard@v1
Not queried
openssf-scorecard@v1

Tagline

Aquila2
Official repository for Aquila2 series large language models by BAAI
Eagle
Frontier Vision-Language Models with Data-Centric Strategies

Stars

Aquila2
447
Eagle
3.4k

Forks

Aquila2
32
Eagle
327

Open issues

Aquila2
2
Eagle
62

Language

Aquila2
Python
Eagle
Python

Adopt for

Aquila2
Official suite for Aquila2 series LLM by BAAI
Eagle
Eagle: Frontier Vision-Language Models with Data-Centric Strategies

Persona

Aquila2
-
Eagle
-

Runtime

Aquila2
-
Eagle
-

License

Aquila2
(unknown)
Eagle
The code is released under Apache 2.0 license, while the pretrained models are under CC BY-NC 4.0 or NVIDIA licenses for non-commercial use only.

Last pushed

Aquila2
Oct 11, 2024
Eagle
Jun 24, 2026

Categories

Aquila2
Inference & Serving, LLM Frameworks, Model Training
Eagle
Computer Vision, LLM Frameworks

Trust and health

Maintenance

Aquila2
Dormant (18%)
Eagle
Steady (60%)

Days since push

Aquila2
683d
Eagle
54d

Open issues (now)

Aquila2
2
Eagle
62

Stars delta

Aquila2
+1 (30d)
Eagle
+199 (30d)

Open issues delta

Aquila2
0 (30d)
Eagle
+3 (30d)

Full report

Choose Aquila2 if…

  • Tags unique to Aquila2: llm, llm-inference, llm-training.
  • Also covers Inference & Serving, Model Training.
  • Need specialized support from Beijing Academy of Artificial Intelligence

When NOT to use Aquila2

  • Require comprehensive API and documentation clarity
  • Preferring open source licensing details

Choose Eagle if…

  • Pricing: Free for non-commercial use; requires adherence to licensing agreements.
  • Requirements: Min 8 GB RAM; Ensure compliance with all applicable laws and regulations when using the dataset and model weights..
  • Tags unique to Eagle: data-centric-strategies, gpt4, huggingface, llm-improvements.
  • Also covers Computer Vision.
  • When you need advanced vision-language models enhanced by data-centric strategies developed by NVlabs and improved using Qwen.

When NOT to use Eagle

  • If your project requires commercial use, as Eagle's models are intended for non-commercial use only under the CC BY-NC 4.0 License or NVIDIA License.
  • In situations where you require a vision-language model that does not rely on improvements made using Qwen.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: Aquila2 447 · Eagle 3.4k (synced Aug 25, 2026).

Common questions

What is the difference between Aquila2 and Eagle?
Aquila2: Official repository for Aquila2 series large language models by BAAI. Eagle: Frontier Vision-Language Models with Data-Centric Strategies. 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-inference, llm-training; Also covers Inference & Serving, Model Training; Need specialized support from Beijing Academy of Artificial Intelligence.
When should I choose Eagle over Aquila2?
Choose Eagle over Aquila2 when Pricing: Free for non-commercial use; requires adherence to licensing agreements; Requirements: Min 8 GB RAM; Ensure compliance with all applicable laws and regulations when using the dataset and model weights.; Tags unique to Eagle: data-centric-strategies, gpt4, huggingface, llm-improvements; Also covers Computer Vision; When you need advanced vision-language models enhanced by data-centric strategies developed by NVlabs and improved using Qwen.
When should I avoid Aquila2?
Require comprehensive API and documentation clarity Preferring open source licensing details
When should I avoid Eagle?
If your project requires commercial use, as Eagle's models are intended for non-commercial use only under the CC BY-NC 4.0 License or NVIDIA License. In situations where you require a vision-language model that does not rely on improvements made using Qwen.
Is Aquila2 or Eagle more popular on GitHub?
Eagle has more GitHub stars (3,407 vs 447). 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 and Eagle alternatives (Aquila2 markdown twin, Eagle markdown twin), 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 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: Steady. 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; Eagle trust report.

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