Home/Compare/Aquila2 vs LlamaFactory

Comparison

Aquila2 vs LlamaFactory

Verdict

Pick Aquila2 when tags unique to Aquila2: llm, llm-inference, llm-training, python; pick LlamaFactory when tags unique to LlamaFactory: agent, ai, deepseek, fine-tuning.

Markdown twin · Aquila2 alternatives · LlamaFactory alternatives

GraphCanon updated 1d

Aquila2 logo

Aquila2

FlagAI-Open/Aquila2

446pushed Oct 11, 2024
vs
LlamaFactory logo

LlamaFactory

hiyouga/LlamaFactory

73kpushed Jul 10, 2026

Trust & integrity

SignalAquila2LlamaFactory
Maintenance
Dormant (638d since push)
As of 1d · github_public_v1
Very active (0d since push)
As of 1d · github_public_v1
Provenance
Not a fork · Organization account
As of 1d · github_public_v1
Not a fork · Personal account
As of 1d · github_public_v1
Security (OSV)
No lockfile
As of 1d · none
No lockfile
As of 1d · none

Tagline

Aquila2
The official repo of Aquila2 series proposed by BAAI, including pretrained & chat large language models.
LlamaFactory
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs

Stars

Aquila2
446
LlamaFactory
73k

Forks

Aquila2
32
LlamaFactory
8.9k

Open issues

Aquila2
2
LlamaFactory
1.1k

Language

Aquila2
Python
LlamaFactory
Python

Adopt for

Aquila2
-
LlamaFactory
LlamaFactory is a sophisticated tool for fine-tuning numerous large language models and visual language models efficiently using various methods such as LoRA, QLoRA, RLHF, and quantization.

Persona

Aquila2
-
LlamaFactory
-

Runtime

Aquila2
-
LlamaFactory
-

License

Aquila2
-
LlamaFactory
Apache-2.0

Last pushed

Aquila2
Oct 11, 2024
LlamaFactory
Jul 10, 2026

Categories

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

Trust and health

Maintenance

Aquila2
Dormant (18%)
LlamaFactory
Very active (96%)

Days since push

Aquila2
638d
LlamaFactory
0d

Open issues (now)

Aquila2
2
LlamaFactory
1.1k

Owner type

Aquila2
Organization
LlamaFactory
User

Full report

LlamaFactory
Trust report

Choose Aquila2 if…

  • Tags unique to Aquila2: llm, llm-inference, llm-training, python.
  • Also covers Inference & Serving.
  • Leaner open-issue backlog (2).

When NOT to use Aquila2

  • Last GitHub push was 639 days ago (dormant maintenance, Oct 11, 2024). Validate activity before betting a new project on Aquila2.
  • Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
  • LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
  • Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.

Choose LlamaFactory if…

  • Tags unique to LlamaFactory: agent, ai, deepseek, fine-tuning.
  • When you need to fine-tune over 100 different LLMs or VLMs with efficient methods like LoRA or QLoRA.
  • More GitHub stars (73k vs 446) - visibility, not fit.

When NOT to use LlamaFactory

  • When you are looking to fine-tune less popular or niche models that are not supported within the 100+ models covered by LlamaFactory.
  • If your project specifically requires custom fine-tuning methods not available in this repository, such as certain versions of PEFT (Parameter Efficient Fine-Tuning) techniques excluding LoRA and QLoa

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 446 · LlamaFactory 73k (synced Jul 11, 2026).

Common questions

What is the difference between Aquila2 and LlamaFactory?
Aquila2: The official repo of Aquila2 series proposed by BAAI, including pretrained & chat large language models.. LlamaFactory: Unified Efficient Fine-Tuning of 100+ LLMs & VLMs. See the comparison table for live GitHub stats and shared categories.
When should I choose Aquila2 over LlamaFactory?
Choose Aquila2 over LlamaFactory when Tags unique to Aquila2: llm, llm-inference, llm-training, python; Also covers Inference & Serving; Leaner open-issue backlog (2).
When should I choose LlamaFactory over Aquila2?
Choose LlamaFactory over Aquila2 when Tags unique to LlamaFactory: agent, ai, deepseek, fine-tuning; When you need to fine-tune over 100 different LLMs or VLMs with efficient methods like LoRA or QLoRA; More GitHub stars (73k vs 446) - visibility, not fit.
When should I avoid Aquila2?
Last GitHub push was 639 days ago (dormant maintenance, Oct 11, 2024). Validate activity before betting a new project on Aquila2. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
When should I avoid LlamaFactory?
When you are looking to fine-tune less popular or niche models that are not supported within the 100+ models covered by LlamaFactory. If your project specifically requires custom fine-tuning methods not available in this repository, such as certain versions of PEFT (Parameter Efficient Fine-Tuning) techniques excluding LoRA and QLoa
Is Aquila2 or LlamaFactory more popular on GitHub?
LlamaFactory has more GitHub stars (73,157 vs 446). Stars measure visibility, not whether either tool fits your constraints.
Are Aquila2 and LlamaFactory open source?
Yes - both are open-source projects on GitHub.
Where can I find alternatives to Aquila2 or LlamaFactory?
GraphCanon lists graph-backed alternatives at Aquila2 alternatives and LlamaFactory alternatives (Aquila2 markdown twin, LlamaFactory 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 LlamaFactory?
Aquila2: Dormant. LlamaFactory: Very 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 Aquila2 and LlamaFactory?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Aquila2 trust report; LlamaFactory trust report.