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Home/Compare/LlamaFactory vs LLM-RLHF-Tuning

Comparison

LlamaFactory vs LLM-RLHF-Tuning

Verdict

Pick LlamaFactory when tags unique to LlamaFactory: gemma, deepseek, ai, instruction-tuning; pick LLM-RLHF-Tuning when tags unique to LLM-RLHF-Tuning: reinforcement-learning, llama, lora, ppo.

Markdown twin · LlamaFactory alternatives · LLM-RLHF-Tuning alternatives

GraphCanon updated today

LlamaFactory logo

LlamaFactory

hiyouga/LlamaFactory

★ 73kpushed Jul 10, 2026
vs
LLM-RLHF-Tuning logo

LLM-RLHF-Tuning

Joyce94/LLM-RLHF-Tuning

★ 452pushed Oct 11, 2023

Trust & integrity

SignalLlamaFactoryLLM-RLHF-Tuning
Maintenance
Very active (0d since push)
As of today · github_public_v1
Dormant (1004d 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
LlamaFactory trust reportLLM-RLHF-Tuning trust reportTrust methodology

Tagline

LlamaFactory
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs
LLM-RLHF-Tuning
LLM Tuning with PEFT (SFT+RM+PPO+DPO with LoRA)

Stars

LlamaFactory
73k
LLM-RLHF-Tuning
452

Forks

LlamaFactory
8.9k
LLM-RLHF-Tuning
24

Open issues

LlamaFactory
1.1k
LLM-RLHF-Tuning
3

Language

LlamaFactory
Python
LLM-RLHF-Tuning
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.
LLM-RLHF-Tuning
-

Persona

LlamaFactory
-
LLM-RLHF-Tuning
-

Runtime

LlamaFactory
-
LLM-RLHF-Tuning
-

License

LlamaFactory
Apache-2.0
LLM-RLHF-Tuning
-

Last pushed

LlamaFactory
Jul 10, 2026
LLM-RLHF-Tuning
Oct 11, 2023

Categories

LlamaFactory
LLM Frameworks, Model Training
LLM-RLHF-Tuning
LLM Frameworks, Model Training

Trust and health

Maintenance

LlamaFactory
Very active (96%)
LLM-RLHF-Tuning
Dormant (18%)

Days since push

LlamaFactory
0d
LLM-RLHF-Tuning
1004d

Open issues (now)

LlamaFactory
1.1k
LLM-RLHF-Tuning
3

Full report

LlamaFactory
Trust report
LLM-RLHF-Tuning
Trust report

Choose LlamaFactory if…

  • 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.
  • More GitHub stars (73k vs 452) - 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
GitHubDetails

Choose LLM-RLHF-Tuning if…

  • Tags unique to LLM-RLHF-Tuning: reinforcement-learning, llama, lora, ppo.
  • Leaner open-issue backlog (3).

When NOT to use LLM-RLHF-Tuning

  • Last GitHub push was 1004 days ago (dormant maintenance, Oct 11, 2023). Validate activity before betting a new project on LLM-RLHF-Tuning.
  • 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.
GitHubDetails

Explore

LlamaFactory trust report →LLM-RLHF-Tuning trust report →LLM Frameworks category →Model Training category →All comparisonsStack workflowsTrending tools

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 · LLM-RLHF-Tuning 452 (synced Jul 11, 2026).

Common questions

What is the difference between LlamaFactory and LLM-RLHF-Tuning?
LlamaFactory: Unified Efficient Fine-Tuning of 100+ LLMs & VLMs. LLM-RLHF-Tuning: LLM Tuning with PEFT (SFT+RM+PPO+DPO with LoRA). See the comparison table for live GitHub stats and shared categories.
When should I choose LlamaFactory over LLM-RLHF-Tuning?
Choose LlamaFactory over LLM-RLHF-Tuning when 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; More GitHub stars (73k vs 452) - visibility, not fit.
When should I choose LLM-RLHF-Tuning over LlamaFactory?
Choose LLM-RLHF-Tuning over LlamaFactory when Tags unique to LLM-RLHF-Tuning: reinforcement-learning, llama, lora, ppo; Leaner open-issue backlog (3).
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 LLM-RLHF-Tuning?
Last GitHub push was 1004 days ago (dormant maintenance, Oct 11, 2023). Validate activity before betting a new project on LLM-RLHF-Tuning. 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 LLM-RLHF-Tuning more popular on GitHub?
LlamaFactory has more GitHub stars (73,157 vs 452). Stars measure visibility, not whether either tool fits your constraints.
Are LlamaFactory and LLM-RLHF-Tuning open source?
Yes - both are open-source projects on GitHub.
Where can I find alternatives to LlamaFactory or LLM-RLHF-Tuning?
GraphCanon lists graph-backed alternatives at LlamaFactory alternatives and LLM-RLHF-Tuning alternatives (LlamaFactory markdown twin, LLM-RLHF-Tuning 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 LLM-RLHF-Tuning?
LlamaFactory: Very active. LLM-RLHF-Tuning: 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 LLM-RLHF-Tuning?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: LlamaFactory trust report; LLM-RLHF-Tuning trust report.