Home/Compare/LlamaFactory vs AI-Compass

Comparison

LlamaFactory vs AI-Compass

Verdict

Pick LlamaFactory when tags unique to LlamaFactory: deepseek, fine-tuning, gemma, gpt; pick AI-Compass when tags unique to AI-Compass: llm, llm-inference, llm-training, nlp.

Markdown twin · LlamaFactory alternatives · AI-Compass alternatives

GraphCanon updated today

LlamaFactory logo

LlamaFactory

hiyouga/LlamaFactory

73kpushed Jul 10, 2026
vs
AI-Compass logo

AI-Compass

tingaicompass/AI-Compass

845pushed Jul 10, 2026

Trust & integrity

SignalLlamaFactoryAI-Compass
Maintenance
Very active (0d since push)
As of 2d · github_public_v1
Very active (1d since push)
As of 1d · github_public_v1
Provenance
Not a fork · Personal account
As of 2d · github_public_v1
Not a fork · Personal account
As of 1d · github_public_v1
Security (OSV)
No lockfile
As of 2d · none
No lockfile
As of 1d · none

Tagline

LlamaFactory
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs
AI-Compass
“AI-Compass”将为社区指引在 AI 技术海洋中航行的方向,无论你是初学者还是进阶开发者,都能在这里找到通往 AI 各大方向的路径。旨在帮助开发者系统性地了解 AI 的核心概念、主流技术、前沿趋势,并通过实践掌握从理论到落地的全过程。

Stars

LlamaFactory
73k
AI-Compass
845

Forks

LlamaFactory
8.9k
AI-Compass
109

Open issues

LlamaFactory
1.1k
AI-Compass
1

Language

LlamaFactory
Python
AI-Compass
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.
AI-Compass
-

Persona

LlamaFactory
-
AI-Compass
-

Runtime

LlamaFactory
-
AI-Compass
-

License

LlamaFactory
Apache-2.0
AI-Compass
-

Last pushed

LlamaFactory
Jul 10, 2026
AI-Compass
Jul 10, 2026

Categories

LlamaFactory
LLM Frameworks, Model Training
AI-Compass
AI Agents, LLM Frameworks, Model Training

Trust and health

Days since push

LlamaFactory
0d
AI-Compass
1d

Open issues (now)

LlamaFactory
1.1k
AI-Compass
1

Full report

LlamaFactory
Trust report
AI-Compass
Trust report

Choose LlamaFactory if…

  • Tags unique to LlamaFactory: deepseek, fine-tuning, gemma, gpt.
  • When you need to fine-tune over 100 different LLMs or VLMs with efficient methods like LoRA or QLoRA.
  • More GitHub stars (73k vs 845) - 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

Choose AI-Compass if…

  • Tags unique to AI-Compass: llm, llm-inference, llm-training, nlp.
  • Also covers AI Agents.
  • Leaner open-issue backlog (1).

When NOT to use AI-Compass

  • 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 · AI-Compass 845 (synced Jul 11, 2026).

Common questions

What is the difference between LlamaFactory and AI-Compass?
LlamaFactory: Unified Efficient Fine-Tuning of 100+ LLMs & VLMs. AI-Compass: “AI-Compass”将为社区指引在 AI 技术海洋中航行的方向,无论你是初学者还是进阶开发者,都能在这里找到通往 AI 各大方向的路径。旨在帮助开发者系统性地了解 AI 的核心概念、主流技术、前沿趋势,并通过实践掌握从理论到落地的全过程。. See the comparison table for live GitHub stats and shared categories.
When should I choose LlamaFactory over AI-Compass?
Choose LlamaFactory over AI-Compass when Tags unique to LlamaFactory: deepseek, fine-tuning, gemma, gpt; When you need to fine-tune over 100 different LLMs or VLMs with efficient methods like LoRA or QLoRA; More GitHub stars (73k vs 845) - visibility, not fit.
When should I choose AI-Compass over LlamaFactory?
Choose AI-Compass over LlamaFactory when Tags unique to AI-Compass: llm, llm-inference, llm-training, nlp; Also covers AI Agents; Leaner open-issue backlog (1).
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 AI-Compass?
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 AI-Compass more popular on GitHub?
LlamaFactory has more GitHub stars (73,157 vs 845). Stars measure visibility, not whether either tool fits your constraints.
Are LlamaFactory and AI-Compass open source?
Yes - both are open-source projects on GitHub.
Where can I find alternatives to LlamaFactory or AI-Compass?
GraphCanon lists graph-backed alternatives at LlamaFactory alternatives and AI-Compass alternatives (LlamaFactory markdown twin, AI-Compass 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 AI-Compass?
LlamaFactory: Very active. AI-Compass: 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 LlamaFactory and AI-Compass?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: LlamaFactory trust report; AI-Compass trust report.

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