Home/Compare/LlamaFactory vs KnowledgeEditingPapers

Comparison

LlamaFactory vs KnowledgeEditingPapers

Verdict

Pick LlamaFactory if 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; pick KnowledgeEditingPapers if a specialized collection of foundational papers and reports that delve into the editing and manipulation of knowledge within large language models, making it a valuable resource for researchers.

Markdown twin · LlamaFactory alternatives · KnowledgeEditingPapers alternatives

GraphCanon updated today

LlamaFactory logo

LlamaFactory

hiyouga/LlamaFactory

73kpushed Jul 10, 2026
vs
KnowledgeEditingPapers logo

KnowledgeEditingPapers

zjunlp/KnowledgeEditingPapers

1.2kpushed Jun 25, 2026

Trust & integrity

SignalLlamaFactoryKnowledgeEditingPapers
Maintenance
Very active (0d since push)
As of today · github_public_v1
Active (16d 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
No lockfile
As of today · none

Tagline

LlamaFactory
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs
KnowledgeEditingPapers
Must-read Papers on Knowledge Editing for Large Language Models

Stars

LlamaFactory
73k
KnowledgeEditingPapers
1.2k

Forks

LlamaFactory
8.9k
KnowledgeEditingPapers
79

Open issues

LlamaFactory
1.1k
KnowledgeEditingPapers
0

Language

LlamaFactory
Python
KnowledgeEditingPapers
-

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.
KnowledgeEditingPapers
A specialized collection of foundational papers and reports that delve into the editing and manipulation of knowledge within large language models, making it a valuable resource for researchers looking to understand and斧

Persona

LlamaFactory
-
KnowledgeEditingPapers
-

Runtime

LlamaFactory
-
KnowledgeEditingPapers
-

License

LlamaFactory
Apache-2.0
KnowledgeEditingPapers
MIT

Last pushed

LlamaFactory
Jul 10, 2026
KnowledgeEditingPapers
Jun 25, 2026

Categories

LlamaFactory
LLM Frameworks, Model Training
KnowledgeEditingPapers
LLM Frameworks, Model Training

Trust and health

Maintenance

LlamaFactory
Very active (96%)
KnowledgeEditingPapers
Active (82%)

Days since push

LlamaFactory
0d
KnowledgeEditingPapers
16d

Open issues (now)

LlamaFactory
1.1k
KnowledgeEditingPapers
0

Owner type

LlamaFactory
User
KnowledgeEditingPapers
Organization

Full report

LlamaFactory
Trust report
KnowledgeEditingPapers
Trust report

Choose LlamaFactory if…

  • License: LlamaFactory is Apache-2.0, KnowledgeEditingPapers is MIT.
  • Tags unique to LlamaFactory: agent, ai, deepseek, fine-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 KnowledgeEditingPapers if…

  • License: KnowledgeEditingPapers is MIT, LlamaFactory is Apache-2.0.
  • Tags unique to KnowledgeEditingPapers: knowledge-editing, model-editing, natural-language-processing, pre-trained-language-models.
  • You are specifically interested in recent advancements in knowledge editing techniques for large language models.

When NOT to use KnowledgeEditingPapers

  • You are looking for a broad overview of machine learning or AI in general, as this repository focuses narrowly on knowledge editing within large language models.
  • If you seek practical tooling or implementation guidance rather than theoretical insights and review papers.
  • Your focus is more on data preprocessing or model training techniques unrelated to the specific modification of knowledge mechanisms in LLMs.

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 · KnowledgeEditingPapers 1.2k (synced Jul 11, 2026).

Common questions

What is the difference between LlamaFactory and KnowledgeEditingPapers?
LlamaFactory: Unified Efficient Fine-Tuning of 100+ LLMs & VLMs. KnowledgeEditingPapers: Must-read Papers on Knowledge Editing for Large Language Models. See the comparison table for live GitHub stats and shared categories.
When should I choose LlamaFactory over KnowledgeEditingPapers?
Choose LlamaFactory over KnowledgeEditingPapers when License: LlamaFactory is Apache-2.0, KnowledgeEditingPapers is MIT; Tags unique to LlamaFactory: agent, ai, deepseek, fine-tuning; When you need to fine-tune over 100 different LLMs or VLMs with efficient methods like LoRA or QLoRA.
When should I choose KnowledgeEditingPapers over LlamaFactory?
Choose KnowledgeEditingPapers over LlamaFactory when License: KnowledgeEditingPapers is MIT, LlamaFactory is Apache-2.0; Tags unique to KnowledgeEditingPapers: knowledge-editing, model-editing, natural-language-processing, pre-trained-language-models; You are specifically interested in recent advancements in knowledge editing techniques for large language models.
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 KnowledgeEditingPapers?
You are looking for a broad overview of machine learning or AI in general, as this repository focuses narrowly on knowledge editing within large language models. If you seek practical tooling or implementation guidance rather than theoretical insights and review papers. Your focus is more on data preprocessing or model training techniques unrelated to the specific modification of knowledge mechanisms in LLMs.
Is LlamaFactory or KnowledgeEditingPapers more popular on GitHub?
LlamaFactory has more GitHub stars (73,157 vs 1,235). Stars measure visibility, not whether either tool fits your constraints.
Are LlamaFactory and KnowledgeEditingPapers open source?
Yes - both are open-source projects on GitHub (LlamaFactory: Apache-2.0, KnowledgeEditingPapers: MIT).
Where can I find alternatives to LlamaFactory or KnowledgeEditingPapers?
GraphCanon lists graph-backed alternatives at LlamaFactory alternatives and KnowledgeEditingPapers alternatives (LlamaFactory markdown twin, KnowledgeEditingPapers 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 KnowledgeEditingPapers?
LlamaFactory: Very active. KnowledgeEditingPapers: 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 KnowledgeEditingPapers?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: LlamaFactory trust report; KnowledgeEditingPapers trust report.