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Home/Compare/mlx-tune vs LlamaFactory

Comparison

mlx-tune vs LlamaFactory

Verdict

Pick mlx-tune when tags unique to mlx-tune: deep-learning, llm-finetuning, lora, llm; pick LlamaFactory when tags unique to LlamaFactory: gemma, fine-tuning, deepseek, ai.

Markdown twin · mlx-tune alternatives · LlamaFactory alternatives

GraphCanon updated today

mlx-tune logo

mlx-tune

ARahim3/mlx-tune

★ 1.4kpushed Jun 23, 2026
vs
LlamaFactory logo

LlamaFactory

hiyouga/LlamaFactory

★ 73kpushed Jul 10, 2026

Trust & integrity

Signalmlx-tuneLlamaFactory
Maintenance
Active (17d 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)
46 low (46 low)
As of today · osv@v1
No lockfile
As of today · none
mlx-tune trust reportLlamaFactory trust reportTrust methodology

Tagline

mlx-tune
Fine-tune LLMs on your Mac with Apple Silicon. SFT, DPO, GRPO, Vision, TTS, STT, Embedding, and OCR fine-tuning — natively on MLX. Unsloth-compatible API.
LlamaFactory
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs

Stars

mlx-tune
1.4k
LlamaFactory
73k

Forks

mlx-tune
88
LlamaFactory
8.9k

Open issues

mlx-tune
11
LlamaFactory
1.1k

Language

mlx-tune
Python
LlamaFactory
Python

Adopt for

mlx-tune
-
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

mlx-tune
-
LlamaFactory
-

Runtime

mlx-tune
-
LlamaFactory
-

License

mlx-tune
Apache-2.0
LlamaFactory
Apache-2.0

Last pushed

mlx-tune
Jun 23, 2026
LlamaFactory
Jul 10, 2026

Categories

mlx-tune
Model Training, LLM Frameworks, Vector Databases
LlamaFactory
Model Training, LLM Frameworks

Trust and health

Maintenance

mlx-tune
Active (82%)
LlamaFactory
Very active (96%)

Days since push

mlx-tune
17d
LlamaFactory
0d

Open issues (now)

mlx-tune
11
LlamaFactory
1.1k

Security scan

mlx-tune
46 low (46 low)
LlamaFactory
No lockfile

Full report

mlx-tune
Trust report
LlamaFactory
Trust report

Choose mlx-tune if…

  • Tags unique to mlx-tune: deep-learning, llm-finetuning, lora, llm.
  • Also covers Vector Databases.
  • Leaner open-issue backlog (11).

When NOT to use mlx-tune

  • 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.
  • Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
GitHubDetails

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
GitHubDetails

Explore

mlx-tune trust report →LlamaFactory trust report →Model Training category →LLM Frameworks category →Vector Databases 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: mlx-tune 1.4k · LlamaFactory 73k (synced Jul 11, 2026).

Common questions

What is the difference between mlx-tune and LlamaFactory?
mlx-tune: Fine-tune LLMs on your Mac with Apple Silicon. SFT, DPO, GRPO, Vision, TTS, STT, Embedding, and OCR fine-tuning — natively on MLX. Unsloth-compatible API.. LlamaFactory: Unified Efficient Fine-Tuning of 100+ LLMs & VLMs. See the comparison table for live GitHub stats and shared categories.
When should I choose mlx-tune over LlamaFactory?
Choose mlx-tune over LlamaFactory when Tags unique to mlx-tune: deep-learning, llm-finetuning, lora, llm; Also covers Vector Databases; Leaner open-issue backlog (11).
When should I choose LlamaFactory over mlx-tune?
Choose LlamaFactory over mlx-tune 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 mlx-tune?
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. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
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 mlx-tune or LlamaFactory more popular on GitHub?
LlamaFactory has more GitHub stars (73,157 vs 1,351). Stars measure visibility, not whether either tool fits your constraints.
Are mlx-tune and LlamaFactory open source?
Yes - both are open-source projects on GitHub (mlx-tune: Apache-2.0, LlamaFactory: Apache-2.0).
Where can I find alternatives to mlx-tune or LlamaFactory?
GraphCanon lists graph-backed alternatives at mlx-tune alternatives and LlamaFactory alternatives (mlx-tune 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, mlx-tune or LlamaFactory?
mlx-tune: Active. 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 mlx-tune and LlamaFactory?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: mlx-tune trust report; LlamaFactory trust report.