Home/Compare/LlamaFactory vs aideml

Comparison

LlamaFactory vs aideml

Verdict

Pick LlamaFactory when license: LlamaFactory is Apache-2.0, aideml is MIT; pick aideml when license: aideml is MIT, LlamaFactory is Apache-2.0.

Markdown twin · LlamaFactory alternatives · aideml alternatives

GraphCanon updated today

LlamaFactory logo

LlamaFactory

hiyouga/LlamaFactory

73kpushed Jul 10, 2026
vs
aideml logo

aideml

WecoAI/aideml

1.3kpushed May 2, 2026

Trust & integrity

SignalLlamaFactoryaideml
Maintenance
Very active (0d since push)
As of today · github_public_v1
Steady (70d since push)
As of today · github_public_v1
Provenance
Not a fork · Personal account
As of today · github_public_v1
Not a fork · Organization account
As of today · github_public_v1
Security (OSV)
No lockfile
As of today · none
1 low (1 low)
As of today · osv@v1

Tagline

LlamaFactory
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs
aideml
AIDE: AI-Driven Exploration in the Space of Code. The machine Learning engineering agent that automates AI R&D.

Stars

LlamaFactory
73k
aideml
1.3k

Forks

LlamaFactory
8.9k
aideml
197

Open issues

LlamaFactory
1.1k
aideml
0

Language

LlamaFactory
Python
aideml
Python

Adopt for

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.
aideml
-

Persona

LlamaFactory
-
aideml
-

Runtime

LlamaFactory
-
aideml
-

License

LlamaFactory
Apache-2.0
aideml
MIT

Last pushed

LlamaFactory
Jul 10, 2026
aideml
May 2, 2026

Categories

LlamaFactory
LLM Frameworks, Model Training
aideml
AI Agents, LLM Frameworks, Model Training

Trust and health

Maintenance

LlamaFactory
Very active (96%)
aideml
Steady (60%)

Days since push

LlamaFactory
0d
aideml
70d

Open issues (now)

LlamaFactory
1.1k
aideml
0

Owner type

LlamaFactory
User
aideml
Organization

Security scan

LlamaFactory
No lockfile
aideml
1 low (1 low)

Full report

LlamaFactory
Trust report

Choose LlamaFactory if…

  • License: LlamaFactory is Apache-2.0, aideml is MIT.
  • Tags unique to LlamaFactory: gemma, fine-tuning, deepseek, instruction-tuning.
  • When you need to fine-tune over 100 different LLMs or VLMs with efficient methods like LoRA or QLoRA.

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

Choose aideml if…

  • License: aideml is MIT, LlamaFactory is Apache-2.0.
  • Tags unique to aideml: data-science, llm, autoresearch, autonomous-agents.
  • Also covers AI Agents.
  • aideml ships Docker support for self-hosted deployment.

When NOT to use aideml

  • AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
  • 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.

Explore

Sources

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

GitHub stars on cards: LlamaFactory 73k · aideml 1.3k (synced Jul 11, 2026).

Common questions

What is the difference between LlamaFactory and aideml?
LlamaFactory: Unified Efficient Fine-Tuning of 100+ LLMs & VLMs. aideml: AIDE: AI-Driven Exploration in the Space of Code. The machine Learning engineering agent that automates AI R&D.. See the comparison table for live GitHub stats and shared categories.
When should I choose LlamaFactory over aideml?
Choose LlamaFactory over aideml when License: LlamaFactory is Apache-2.0, aideml is MIT; Tags unique to LlamaFactory: gemma, fine-tuning, deepseek, instruction-tuning; When you need to fine-tune over 100 different LLMs or VLMs with efficient methods like LoRA or QLoRA.
When should I choose aideml over LlamaFactory?
Choose aideml over LlamaFactory when License: aideml is MIT, LlamaFactory is Apache-2.0; Tags unique to aideml: data-science, llm, autoresearch, autonomous-agents; Also covers AI Agents; aideml ships Docker support for self-hosted deployment.
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
When should I avoid aideml?
AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. 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.
Is LlamaFactory or aideml more popular on GitHub?
LlamaFactory has more GitHub stars (73,157 vs 1,347). Stars measure visibility, not whether either tool fits your constraints.
Are LlamaFactory and aideml open source?
Yes - both are open-source projects on GitHub (LlamaFactory: Apache-2.0, aideml: MIT).
Where can I find alternatives to LlamaFactory or aideml?
GraphCanon lists graph-backed alternatives at LlamaFactory alternatives and aideml alternatives (LlamaFactory markdown twin, aideml 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, LlamaFactory or aideml?
LlamaFactory: Very active. aideml: 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 LlamaFactory and aideml?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: LlamaFactory trust report; aideml trust report.