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Comparison

LlamaFactory vs MiniMax-01

Verdict

Pick LlamaFactory if llamaFactory is a Python-based tool for efficient fine-tuning of over 100 large language models and vision-language models, supporting various methods like LoRA, QLoRA, and quantization; pick MiniMax-01 if miniMax-01 optimizes Linear Attention for large-language and vision-language models.

Markdown twin · LlamaFactory alternatives · MiniMax-01 alternatives

GraphCanon updated Sep 20, 2026

22views this month

LlamaFactory logo

LlamaFactory

hiyouga/LlamaFactory

★ 75kpushed Sep 14, 2026
vs
MiniMax-01 logo

MiniMax-01

MiniMax-AI/MiniMax-01

★ 3.5kpushed Jul 7, 2025

Trust & integrity

SignalLlamaFactoryMiniMax-01
Maintenance
Very active (4d since push)
As of Sep 18, 2026 · github_public_v1
Dormant (406d since push)
As of Aug 18, 2026 · github_public_v1
Provenance
Not a fork · Personal account
As of Sep 18, 2026 · github_public_v1
Not a fork · Organization account
As of Aug 18, 2026 · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of Sep 18, 2026 · osv@v1
No lockfile (source not queried)
As of Jul 11, 2026 · osv@v1
deps.dev advisories
Not queried
deps.dev@v1
Not queried
deps.dev@v1
OpenSSF Scorecard
Not queried
openssf-scorecard@v1
Not queried
openssf-scorecard@v1
LlamaFactory trust reportMiniMax-01 trust reportTrust methodology

Tagline

LlamaFactory
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs
MiniMax-01
Repository for MiniMax-Text-01 and MiniMax-VL-01 models based on Linear Attention

Stars

LlamaFactory
75k
MiniMax-01
3.5k

Forks

LlamaFactory
9.2k
MiniMax-01
332

Open issues

LlamaFactory
1.2k
MiniMax-01
8

Language

LlamaFactory
Python
MiniMax-01
Python

Adopt for

LlamaFactory
LlamaFactory is a Python-based tool for efficient fine-tuning of over 100 large language models and vision-language models, supporting various methods like LoRA, QLoRA, and quantization.
MiniMax-01
MiniMax-01 optimizes Linear Attention for large-language and vision-language models.

Persona

LlamaFactory
-
MiniMax-01
-

Runtime

LlamaFactory
-
MiniMax-01
-

License

LlamaFactory
Apache-2.0
MiniMax-01
MIT

Last pushed

LlamaFactory
Sep 14, 2026
MiniMax-01
Jul 7, 2025

Categories

LlamaFactory
LLM Frameworks, Model Training
MiniMax-01
LLM Frameworks, Model Training

Trust and health

Maintenance

LlamaFactory
Very active (96%)
MiniMax-01
Dormant (18%)

Days since push

LlamaFactory
4d
MiniMax-01
406d

Open issues (now)

LlamaFactory
1.2k
MiniMax-01
8

Stars delta

LlamaFactory
+717 (30d)
MiniMax-01
+17 (30d)

Open issues delta

LlamaFactory
+43 (30d)
MiniMax-01
0 (30d)

Owner type

LlamaFactory
User
MiniMax-01
Organization

Full report

LlamaFactory
Trust report
MiniMax-01
Trust report

Typed relationship

LlamaFactory alternative MiniMax-01Both MiniMax-01 and LlamaFactory involve fine-tuning of large language models, but they serve as different implementations for similar purposes.

Choose LlamaFactory if…

  • License: LlamaFactory is Apache-2.0, MiniMax-01 is MIT.
  • Requirements: Min 4 GB RAM; Requires Docker; Hardware requirements vary based on the method and model size. For example, full fine-tuning of a 7B model requires 120GB of memory, while QLoRA with 2-bit can ; Installation is mandatory and can be done from source or via Docker. Additional dependencies like `metrics` and `deepspeed` are optional.; For Windows users, manual installation of PyTorch with CUDA support is required, and bitsandbytes must be installed for QLoRA support..
  • Both MiniMax-01 and LlamaFactory involve fine-tuning of large language models, but they serve as different implementations for similar purposes.
  • Tags unique to LlamaFactory: agent, ai, deepseek, fine-tuning.
  • Use LlamaFactory when you need to fine-tune a wide range of large language models and vision-language models with methods like LoRA, QLoRA, and quantization.

When NOT to use LlamaFactory

  • Avoid LlamaFactory if you are working with models not included in its supported list of over 100 models, as it may not provide the necessary fine-tuning capabilities.
  • Do not use LlamaFactory if you are working in an environment where Python or specific dependencies like PyTorch and bitsandbytes cannot be installed or are not supported.
  • LlamaFactory may not be suitable if you require real-time or near-real-time fine-tuning capabilities, as the setup and installation process can be complex and time-consuming.
GitHubDetails

Choose MiniMax-01 if…

  • License: MiniMax-01 is MIT, LlamaFactory is Apache-2.0.
  • Both MiniMax-01 and LlamaFactory involve fine-tuning of large language models, but they serve as different implementations for similar purposes.
  • Tags unique to MiniMax-01: llm, vision-language-model, vlm.
  • When high throughput performance is required for model serving

When NOT to use MiniMax-01

  • If deep customization of attention mechanisms aside from Linear Attention is needed
  • In favor of frameworks lacking vLLM's optimization features, when efficiency or memory use are secondary to flexibility
GitHubDetails

Explore

LlamaFactory trust report →MiniMax-01 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 75k · MiniMax-01 3.5k (synced Sep 20, 2026).

Common questions

What is the difference between LlamaFactory and MiniMax-01?
LlamaFactory: Unified Efficient Fine-Tuning of 100+ LLMs & VLMs. MiniMax-01: Repository for MiniMax-Text-01 and MiniMax-VL-01 models based on Linear Attention. See the comparison table for live GitHub stats and shared categories.
When should I choose LlamaFactory over MiniMax-01?
Choose LlamaFactory over MiniMax-01 when License: LlamaFactory is Apache-2.0, MiniMax-01 is MIT; Requirements: Min 4 GB RAM; Requires Docker; Hardware requirements vary based on the method and model size. For example, full fine-tuning of a 7B model requires 120GB of memory, while QLoRA with 2-bit can ; Installation is mandatory and can be done from source or via Docker. Additional dependencies like metrics and deepspeed are optional.; For Windows users, manual installation of PyTorch with CUDA support is required, and bitsandbytes must be installed for QLoRA support.; Both MiniMax-01 and LlamaFactory involve fine-tuning of large language models, but they serve as different implementations for similar purposes; Tags unique to LlamaFactory: agent, ai, deepseek, fine-tuning; Use LlamaFactory when you need to fine-tune a wide range of large language models and vision-language models with methods like LoRA, QLoRA, and quantization.
When should I choose MiniMax-01 over LlamaFactory?
Choose MiniMax-01 over LlamaFactory when License: MiniMax-01 is MIT, LlamaFactory is Apache-2.0; Both MiniMax-01 and LlamaFactory involve fine-tuning of large language models, but they serve as different implementations for similar purposes; Tags unique to MiniMax-01: llm, vision-language-model, vlm; When high throughput performance is required for model serving.
When should I avoid LlamaFactory?
Avoid LlamaFactory if you are working with models not included in its supported list of over 100 models, as it may not provide the necessary fine-tuning capabilities. Do not use LlamaFactory if you are working in an environment where Python or specific dependencies like PyTorch and bitsandbytes cannot be installed or are not supported. LlamaFactory may not be suitable if you require real-time or near-real-time fine-tuning capabilities, as the setup and installation process can be complex and time-consuming.
When should I avoid MiniMax-01?
If deep customization of attention mechanisms aside from Linear Attention is needed In favor of frameworks lacking vLLM's optimization features, when efficiency or memory use are secondary to flexibility
Is LlamaFactory or MiniMax-01 more popular on GitHub?
LlamaFactory has more GitHub stars (74,849 vs 3,463). Stars measure visibility, not whether either tool fits your constraints.
Are LlamaFactory and MiniMax-01 open source?
Yes - both are open-source projects on GitHub (LlamaFactory: Apache-2.0, MiniMax-01: MIT).
Where can I find alternatives to LlamaFactory or MiniMax-01?
GraphCanon lists graph-backed alternatives at LlamaFactory alternatives and MiniMax-01 alternatives (LlamaFactory markdown twin, MiniMax-01 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 MiniMax-01?
LlamaFactory: Very active. MiniMax-01: 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 MiniMax-01?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: LlamaFactory trust report; MiniMax-01 trust report.

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