Home/Compare/FastEdit vs LlamaFactory

Comparison

FastEdit vs LlamaFactory

Verdict

Pick FastEdit when tags unique to FastEdit: llms, llama, falcon, chatgpt; pick LlamaFactory when tags unique to LlamaFactory: gemma, fine-tuning, deepseek, ai.

Markdown twin · FastEdit alternatives · LlamaFactory alternatives

GraphCanon updated today

FastEdit logo

FastEdit

hiyouga/FastEdit

1.4kpushed Aug 13, 2023
vs
LlamaFactory logo

LlamaFactory

hiyouga/LlamaFactory

73kpushed Jul 10, 2026

Trust & integrity

SignalFastEditLlamaFactory
Maintenance
Dormant (1063d 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)
73 low (73 low)
As of today · osv@v1
No lockfile
As of today · none

Tagline

FastEdit
🩹Editing large language models within 10 seconds⚡
LlamaFactory
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs

Stars

FastEdit
1.4k
LlamaFactory
73k

Forks

FastEdit
103
LlamaFactory
8.9k

Open issues

FastEdit
21
LlamaFactory
1.1k

Language

FastEdit
Python
LlamaFactory
Python

Adopt for

FastEdit
-
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

FastEdit
-
LlamaFactory
-

Runtime

FastEdit
-
LlamaFactory
-

License

FastEdit
Apache-2.0
LlamaFactory
Apache-2.0

Last pushed

FastEdit
Aug 13, 2023
LlamaFactory
Jul 10, 2026

Categories

FastEdit
Model Training, LLM Frameworks
LlamaFactory
LLM Frameworks, Model Training

Trust and health

Maintenance

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

Days since push

FastEdit
1063d
LlamaFactory
0d

Open issues (now)

FastEdit
21
LlamaFactory
1.1k

Security scan

FastEdit
73 low (73 low)
LlamaFactory
No lockfile

Full report

FastEdit
Trust report
LlamaFactory
Trust report

Choose FastEdit if…

  • Tags unique to FastEdit: llms, llama, falcon, chatgpt.
  • Leaner open-issue backlog (21).

When NOT to use FastEdit

  • Last GitHub push was 1064 days ago (dormant maintenance, Aug 13, 2023). Validate activity before betting a new project on FastEdit.
  • Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
  • LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.

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 1.4k) - 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

Explore

Sources

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

GitHub stars on cards: FastEdit 1.4k · LlamaFactory 73k (synced Jul 11, 2026).

Common questions

What is the difference between FastEdit and LlamaFactory?
FastEdit: 🩹Editing large language models within 10 seconds⚡. LlamaFactory: Unified Efficient Fine-Tuning of 100+ LLMs & VLMs. See the comparison table for live GitHub stats and shared categories.
When should I choose FastEdit over LlamaFactory?
Choose FastEdit over LlamaFactory when Tags unique to FastEdit: llms, llama, falcon, chatgpt; Leaner open-issue backlog (21).
When should I choose LlamaFactory over FastEdit?
Choose LlamaFactory over FastEdit 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 1.4k) - visibility, not fit.
When should I avoid FastEdit?
Last GitHub push was 1064 days ago (dormant maintenance, Aug 13, 2023). Validate activity before betting a new project on FastEdit. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
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 FastEdit or LlamaFactory more popular on GitHub?
LlamaFactory has more GitHub stars (73,157 vs 1,367). Stars measure visibility, not whether either tool fits your constraints.
Are FastEdit and LlamaFactory open source?
Yes - both are open-source projects on GitHub (FastEdit: Apache-2.0, LlamaFactory: Apache-2.0).
Where can I find alternatives to FastEdit or LlamaFactory?
GraphCanon lists graph-backed alternatives at FastEdit alternatives and LlamaFactory alternatives (FastEdit 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, FastEdit or LlamaFactory?
FastEdit: Dormant. 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 FastEdit and LlamaFactory?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: FastEdit trust report; LlamaFactory trust report.