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Comparison

LlamaFactory vs pallms

Verdict

Pick LlamaFactory when license: LlamaFactory is Apache-2.0, pallms is MIT; pick pallms when license: pallms is MIT, LlamaFactory is Apache-2.0.

Markdown twin · LlamaFactory alternatives · pallms alternatives

GraphCanon updated today

LlamaFactory logo

LlamaFactory

hiyouga/LlamaFactory

★ 73kpushed Jul 10, 2026
vs
pallms logo

pallms

mik0w/pallms

★ 141pushed Jan 13, 2026

Trust & integrity

SignalLlamaFactorypallms
Maintenance
Very active (0d since push)
As of today · github_public_v1
Slowing (179d 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 reportpallms trust reportTrust methodology

Tagline

LlamaFactory
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs
pallms
Payloads for Attacking Large Language Models

Stars

LlamaFactory
73k
pallms
141

Forks

LlamaFactory
8.9k
pallms
17

Open issues

LlamaFactory
1.1k
pallms
0

Language

LlamaFactory
Python
pallms
-

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.
pallms
-

Persona

LlamaFactory
-
pallms
-

Runtime

LlamaFactory
-
pallms
-

License

LlamaFactory
Apache-2.0
pallms
MIT

Last pushed

LlamaFactory
Jul 10, 2026
pallms
Jan 13, 2026

Categories

LlamaFactory
LLM Frameworks, Model Training
pallms
Model Training, LLM Frameworks

Trust and health

Maintenance

LlamaFactory
Very active (96%)
pallms
Slowing (36%)

Days since push

LlamaFactory
0d
pallms
179d

Open issues (now)

LlamaFactory
1.1k
pallms
0

Full report

LlamaFactory
Trust report
pallms
Trust report

Choose LlamaFactory if…

  • License: LlamaFactory is Apache-2.0, pallms is MIT.
  • 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.

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 pallms if…

  • License: pallms is MIT, LlamaFactory is Apache-2.0.
  • Leaner open-issue backlog (0).

When NOT to use pallms

  • Last GitHub push was 179 days ago (slowing maintenance, Jan 13, 2026). Validate activity before betting a new project on pallms.
  • 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.
GitHubDetails

Explore

LlamaFactory trust report →pallms 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 · pallms 141 (synced Jul 11, 2026).

Common questions

What is the difference between LlamaFactory and pallms?
LlamaFactory: Unified Efficient Fine-Tuning of 100+ LLMs & VLMs. pallms: Payloads for Attacking Large Language Models. See the comparison table for live GitHub stats and shared categories.
When should I choose LlamaFactory over pallms?
Choose LlamaFactory over pallms when License: LlamaFactory is Apache-2.0, pallms is MIT; 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.
When should I choose pallms over LlamaFactory?
Choose pallms over LlamaFactory when License: pallms is MIT, LlamaFactory is Apache-2.0; 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 pallms?
Last GitHub push was 179 days ago (slowing maintenance, Jan 13, 2026). Validate activity before betting a new project on pallms. 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.
Is LlamaFactory or pallms more popular on GitHub?
LlamaFactory has more GitHub stars (73,157 vs 141). Stars measure visibility, not whether either tool fits your constraints.
Are LlamaFactory and pallms open source?
Yes - both are open-source projects on GitHub (LlamaFactory: Apache-2.0, pallms: MIT).
Where can I find alternatives to LlamaFactory or pallms?
GraphCanon lists graph-backed alternatives at LlamaFactory alternatives and pallms alternatives (LlamaFactory markdown twin, pallms 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 pallms?
LlamaFactory: Very active. pallms: Slowing. 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 pallms?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: LlamaFactory trust report; pallms trust report.