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 offers official implementations for its series of large language models with emphasis on inference and speculative decoding.

Markdown twin · Aquila2 alternatives · EAGLE alternatives

GraphCanon updated Sep 20, 2026

8views this month

Aquila2 logo

Aquila2

FlagAI-Open/Aquila2

★ 445pushed Oct 11, 2024
vs
EAGLE logo

EAGLE

SafeAILab/EAGLE

★ 2.5kpushed Feb 20, 2026

Trust & integrity

SignalAquila2EAGLE
Maintenance
Dormant (708d since push)
As of Sep 20, 2026 · github_public_v1
Slowing (211d since push)
As of Sep 19, 2026 · github_public_v1
Provenance
Not a fork · Organization account
As of Sep 20, 2026 · github_public_v1
Not a fork · Organization account
As of Sep 19, 2026 · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of Jul 11, 2026 · osv@v1
No lockfile (source not queried)
As of Jul 11, 2026 · 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
Official Implementation of EAGLE Series Models

Stars

Aquila2
445
EAGLE
2.5k

Forks

Aquila2
32
EAGLE
298

Open issues

Aquila2
2
EAGLE
101

Language

Aquila2
Python
EAGLE
Python

Adopt for

Aquila2
Official suite for Aquila2 series LLM by BAAI
EAGLE
EAGLE offers official implementations for its series of large language models with emphasis on inference and speculative decoding.

Persona

Aquila2
-
EAGLE
-

Runtime

Aquila2
-
EAGLE
-

License

Aquila2
(unknown)
EAGLE
Other

Last pushed

Aquila2
Oct 11, 2024
EAGLE
Feb 20, 2026

Categories

Aquila2
Inference & Serving, LLM Frameworks, Model Training
EAGLE
Inference & Serving, LLM Frameworks

Trust and health

Maintenance

Aquila2
Dormant (18%)
EAGLE
Slowing (36%)

Days since push

Aquila2
708d
EAGLE
211d

Open issues (now)

Aquila2
2
EAGLE
101

Stars delta

Aquila2
-1 (30d)
EAGLE
+57 (30d)

Full report

Shared compatibility

  • Python · Aquila2: Python runtime · EAGLE: Python runtime

Choose Aquila2 if…

  • Tags unique to Aquila2: llm, llm-training.
  • Also covers 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…

  • 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 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.

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 445 · EAGLE 2.5k (synced Sep 20, 2026).

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 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: 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; EAGLE trust report.

Was this helpful?

Anonymous feedback helps us improve pages and translations.