Home/Compare/LLM-Finetuning vs LlamaFactory

Comparison

LLM-Finetuning vs LlamaFactory

Verdict

Pick LLM-Finetuning when lLM-Finetuning is primarily Jupyter Notebook; LlamaFactory is Python; pick LlamaFactory when llamaFactory is primarily Python; LLM-Finetuning is Jupyter Notebook.

Markdown twin · LLM-Finetuning alternatives · LlamaFactory alternatives

GraphCanon updated today

LLM-Finetuning logo

LLM-Finetuning

ashishpatel26/LLM-Finetuning

3.0kpushed Aug 1, 2025
vs
LlamaFactory logo

LlamaFactory

hiyouga/LlamaFactory

73kpushed Jul 10, 2026

Trust & integrity

SignalLLM-FinetuningLlamaFactory
Maintenance
Slowing (343d since push)
As of today · github_public_v1
Very active (0d 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

LLM-Finetuning
LLM Finetuning with peft
LlamaFactory
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs

Stars

LLM-Finetuning
3.0k
LlamaFactory
73k

Forks

LLM-Finetuning
769
LlamaFactory
8.9k

Open issues

LLM-Finetuning
3
LlamaFactory
1.1k

Language

LLM-Finetuning
Jupyter Notebook
LlamaFactory
Python

Adopt for

LLM-Finetuning
-
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

LLM-Finetuning
-
LlamaFactory
-

Runtime

LLM-Finetuning
-
LlamaFactory
-

License

LLM-Finetuning
-
LlamaFactory
Apache-2.0

Last pushed

LLM-Finetuning
Aug 1, 2025
LlamaFactory
Jul 10, 2026

Categories

LLM-Finetuning
LLM Frameworks, Model Training
LlamaFactory
Model Training, LLM Frameworks

Trust and health

Maintenance

LLM-Finetuning
Slowing (36%)
LlamaFactory
Very active (96%)

Days since push

LLM-Finetuning
343d
LlamaFactory
0d

Open issues (now)

LLM-Finetuning
3
LlamaFactory
1.1k

Full report

LLM-Finetuning
Trust report
LlamaFactory
Trust report

Choose LLM-Finetuning if…

  • LLM-Finetuning is primarily Jupyter Notebook; LlamaFactory is Python.
  • Tags unique to LLM-Finetuning: llms, llama, lora, llm.
  • Leaner open-issue backlog (3).

When NOT to use LLM-Finetuning

  • Last GitHub push was 344 days ago (slowing maintenance, Aug 1, 2025). Validate activity before betting a new project on LLM-Finetuning.
  • 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…

  • LlamaFactory is primarily Python; LLM-Finetuning 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

Explore

Sources

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

GitHub stars on cards: LLM-Finetuning 3.0k · LlamaFactory 73k (synced Jul 11, 2026).

Common questions

What is the difference between LLM-Finetuning and LlamaFactory?
LLM-Finetuning: LLM Finetuning with peft. LlamaFactory: Unified Efficient Fine-Tuning of 100+ LLMs & VLMs. See the comparison table for live GitHub stats and shared categories.
When should I choose LLM-Finetuning over LlamaFactory?
Choose LLM-Finetuning over LlamaFactory when LLM-Finetuning is primarily Jupyter Notebook; LlamaFactory is Python; Tags unique to LLM-Finetuning: llms, llama, lora, llm; Leaner open-issue backlog (3).
When should I choose LlamaFactory over LLM-Finetuning?
Choose LlamaFactory over LLM-Finetuning when LlamaFactory is primarily Python; LLM-Finetuning 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 avoid LLM-Finetuning?
Last GitHub push was 344 days ago (slowing maintenance, Aug 1, 2025). Validate activity before betting a new project on LLM-Finetuning. 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 LLM-Finetuning or LlamaFactory more popular on GitHub?
LlamaFactory has more GitHub stars (73,157 vs 2,956). Stars measure visibility, not whether either tool fits your constraints.
Are LLM-Finetuning and LlamaFactory open source?
Yes - both are open-source projects on GitHub.
Where can I find alternatives to LLM-Finetuning or LlamaFactory?
GraphCanon lists graph-backed alternatives at LLM-Finetuning alternatives and LlamaFactory alternatives (LLM-Finetuning 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, LLM-Finetuning or LlamaFactory?
LLM-Finetuning: Slowing. 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 LLM-Finetuning and LlamaFactory?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: LLM-Finetuning trust report; LlamaFactory trust report.