Home/Compare/LlamaFactory vs tiger

Comparison

LlamaFactory vs tiger

Verdict

Pick LlamaFactory when llamaFactory is primarily Python; tiger is Jupyter Notebook; pick tiger when tiger is primarily Jupyter Notebook; LlamaFactory is Python.

Markdown twin · LlamaFactory alternatives · tiger alternatives

GraphCanon updated today

LlamaFactory logo

LlamaFactory

hiyouga/LlamaFactory

73kpushed Jul 10, 2026
vs
tiger logo

tiger

tigerlab-ai/tiger

403pushed Dec 2, 2023

Trust & integrity

SignalLlamaFactorytiger
Maintenance
Very active (0d since push)
As of today · github_public_v1
Dormant (952d since push)
As of today · github_public_v1
Provenance
Not a fork · Personal account
As of today · github_public_v1
Not a fork · Personal account
As of today · github_public_v1
Security (OSV)
No lockfile
As of today · none
No lockfile
As of today · none

Tagline

LlamaFactory
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs
tiger
Open Source LLM toolkit to build trustworthy LLM applications. TigerArmor (AI safety), TigerRAG (embedding, RAG), TigerTune (fine-tuning)

Stars

LlamaFactory
73k
tiger
403

Forks

LlamaFactory
8.9k
tiger
27

Open issues

LlamaFactory
1.1k
tiger
7

Language

LlamaFactory
Python
tiger
Jupyter Notebook

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.
tiger
-

Persona

LlamaFactory
-
tiger
-

Runtime

LlamaFactory
-
tiger
-

License

LlamaFactory
Apache-2.0
tiger
Apache-2.0

Last pushed

LlamaFactory
Jul 10, 2026
tiger
Dec 2, 2023

Categories

LlamaFactory
Model Training, LLM Frameworks
tiger
Vector Databases, LLM Frameworks, Model Training

Trust and health

Maintenance

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

Days since push

LlamaFactory
0d
tiger
952d

Open issues (now)

LlamaFactory
1.1k
tiger
7

Full report

LlamaFactory
Trust report

Choose LlamaFactory if…

  • LlamaFactory is primarily Python; tiger is Jupyter Notebook.
  • Tags unique to LlamaFactory: gemma, deepseek, ai, 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 tiger if…

  • tiger is primarily Jupyter Notebook; LlamaFactory is Python.
  • Tags unique to tiger: ai-safety, llm, llm-training, data-augmentation.
  • Also covers Vector Databases.

When NOT to use tiger

  • Last GitHub push was 952 days ago (dormant maintenance, Dec 2, 2023). Validate activity before betting a new project on tiger.
  • Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
  • 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 · tiger 403 (synced Jul 11, 2026).

Common questions

What is the difference between LlamaFactory and tiger?
LlamaFactory: Unified Efficient Fine-Tuning of 100+ LLMs & VLMs. tiger: Open Source LLM toolkit to build trustworthy LLM applications. TigerArmor (AI safety), TigerRAG (embedding, RAG), TigerTune (fine-tuning). See the comparison table for live GitHub stats and shared categories.
When should I choose LlamaFactory over tiger?
Choose LlamaFactory over tiger when LlamaFactory is primarily Python; tiger is Jupyter Notebook; Tags unique to LlamaFactory: gemma, deepseek, ai, 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 tiger over LlamaFactory?
Choose tiger over LlamaFactory when tiger is primarily Jupyter Notebook; LlamaFactory is Python; Tags unique to tiger: ai-safety, llm, llm-training, data-augmentation; Also covers Vector Databases.
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 tiger?
Last GitHub push was 952 days ago (dormant maintenance, Dec 2, 2023). Validate activity before betting a new project on tiger. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. 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 tiger more popular on GitHub?
LlamaFactory has more GitHub stars (73,157 vs 403). Stars measure visibility, not whether either tool fits your constraints.
Are LlamaFactory and tiger open source?
Yes - both are open-source projects on GitHub (LlamaFactory: Apache-2.0, tiger: Apache-2.0).
Where can I find alternatives to LlamaFactory or tiger?
GraphCanon lists graph-backed alternatives at LlamaFactory alternatives and tiger alternatives (LlamaFactory markdown twin, tiger 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 tiger?
LlamaFactory: Very active. tiger: Dormant. 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 tiger?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: LlamaFactory trust report; tiger trust report.