Home/Compare/LlamaFactory vs Coeditor

Comparison

LlamaFactory vs Coeditor

Verdict

Pick LlamaFactory when tags unique to LlamaFactory: gemma, fine-tuning, deepseek, ai; pick Coeditor when tags unique to Coeditor: python, transformer-architecture, autocomplete, pytorch.

Markdown twin · LlamaFactory alternatives · Coeditor alternatives

GraphCanon updated today

LlamaFactory logo

LlamaFactory

hiyouga/LlamaFactory

73kpushed Jul 10, 2026
vs
Coeditor logo

Coeditor

MrVPlusOne/Coeditor

31pushed Feb 25, 2024

Trust & integrity

SignalLlamaFactoryCoeditor
Maintenance
Very active (0d since push)
As of today · github_public_v1
Dormant (867d 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
267 low (267 low)
As of today · osv@v1

Tagline

LlamaFactory
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs
Coeditor
Coeditor: Leveraging Repo-level Diffs for Code Auto-editing

Stars

LlamaFactory
73k
Coeditor
31

Forks

LlamaFactory
8.9k
Coeditor
3

Open issues

LlamaFactory
1.1k
Coeditor
0

Language

LlamaFactory
Python
Coeditor
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.
Coeditor
-

Persona

LlamaFactory
-
Coeditor
-

Runtime

LlamaFactory
-
Coeditor
-

License

LlamaFactory
Apache-2.0
Coeditor
Apache-2.0

Last pushed

LlamaFactory
Jul 10, 2026
Coeditor
Feb 25, 2024

Categories

LlamaFactory
LLM Frameworks, Model Training
Coeditor
LLM Frameworks, Model Training

Trust and health

Maintenance

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

Days since push

LlamaFactory
0d
Coeditor
867d

Open issues (now)

LlamaFactory
1.1k
Coeditor
0

Security scan

LlamaFactory
No lockfile
Coeditor
267 low (267 low)

Full report

LlamaFactory
Trust report
Coeditor
Trust report

Choose LlamaFactory if…

  • Tags unique to LlamaFactory: gemma, fine-tuning, deepseek, ai.
  • When you need to fine-tune over 100 different LLMs or VLMs with efficient methods like LoRA or QLoRA.
  • More GitHub stars (73k vs 31) - 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 Coeditor if…

  • Tags unique to Coeditor: python, transformer-architecture, autocomplete, pytorch.
  • Leaner open-issue backlog (0).

When NOT to use Coeditor

  • Last GitHub push was 867 days ago (dormant maintenance, Feb 25, 2024). Validate activity before betting a new project on Coeditor.
  • 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 · Coeditor 31 (synced Jul 11, 2026).

Common questions

What is the difference between LlamaFactory and Coeditor?
LlamaFactory: Unified Efficient Fine-Tuning of 100+ LLMs & VLMs. Coeditor: Coeditor: Leveraging Repo-level Diffs for Code Auto-editing. See the comparison table for live GitHub stats and shared categories.
When should I choose LlamaFactory over Coeditor?
Choose LlamaFactory over Coeditor when Tags unique to LlamaFactory: gemma, fine-tuning, deepseek, ai; When you need to fine-tune over 100 different LLMs or VLMs with efficient methods like LoRA or QLoRA; More GitHub stars (73k vs 31) - visibility, not fit.
When should I choose Coeditor over LlamaFactory?
Choose Coeditor over LlamaFactory when Tags unique to Coeditor: python, transformer-architecture, autocomplete, pytorch; Leaner open-issue backlog (0).
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 Coeditor?
Last GitHub push was 867 days ago (dormant maintenance, Feb 25, 2024). Validate activity before betting a new project on Coeditor. 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 Coeditor more popular on GitHub?
LlamaFactory has more GitHub stars (73,157 vs 31). Stars measure visibility, not whether either tool fits your constraints.
Are LlamaFactory and Coeditor open source?
Yes - both are open-source projects on GitHub (LlamaFactory: Apache-2.0, Coeditor: Apache-2.0).
Where can I find alternatives to LlamaFactory or Coeditor?
GraphCanon lists graph-backed alternatives at LlamaFactory alternatives and Coeditor alternatives (LlamaFactory markdown twin, Coeditor 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 Coeditor?
LlamaFactory: Very active. Coeditor: 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 Coeditor?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: LlamaFactory trust report; Coeditor trust report.