Home/Compare/MPP-LLaVA vs LlamaFactory

Comparison

MPP-LLaVA vs LlamaFactory

Verdict

Pick MPP-LLaVA when mPP-LLaVA is primarily Jupyter Notebook; LlamaFactory is Python; pick LlamaFactory when llamaFactory is primarily Python; MPP-LLaVA is Jupyter Notebook.

Markdown twin · MPP-LLaVA alternatives · LlamaFactory alternatives

GraphCanon updated today

MPP-LLaVA logo

MPP-LLaVA

Coobiw/MPP-LLaVA

683pushed Mar 10, 2025
vs
LlamaFactory logo

LlamaFactory

hiyouga/LlamaFactory

73kpushed Jul 10, 2026

Trust & integrity

SignalMPP-LLaVALlamaFactory
Maintenance
Dormant (487d 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)
No lockfile
As of today · none
No lockfile
As of today · none

Tagline

MPP-LLaVA
Personal Project: MPP-Qwen14B & MPP-Qwen-Next(Multimodal Pipeline Parallel based on Qwen-LM). Support [video/image/multi-image] {sft/conversations}. Don't let the poverty limit your imagination! Train
LlamaFactory
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs

Stars

MPP-LLaVA
683
LlamaFactory
73k

Forks

MPP-LLaVA
34
LlamaFactory
8.9k

Open issues

MPP-LLaVA
9
LlamaFactory
1.1k

Language

MPP-LLaVA
Jupyter Notebook
LlamaFactory
Python

Adopt for

MPP-LLaVA
-
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

MPP-LLaVA
-
LlamaFactory
-

Runtime

MPP-LLaVA
-
LlamaFactory
-

License

MPP-LLaVA
-
LlamaFactory
Apache-2.0

Last pushed

MPP-LLaVA
Mar 10, 2025
LlamaFactory
Jul 10, 2026

Categories

MPP-LLaVA
Model Training, LLM Frameworks, Computer Vision
LlamaFactory
Model Training, LLM Frameworks

Trust and health

Maintenance

MPP-LLaVA
Dormant (18%)
LlamaFactory
Very active (96%)

Days since push

MPP-LLaVA
487d
LlamaFactory
0d

Open issues (now)

MPP-LLaVA
9
LlamaFactory
1.1k

Full report

MPP-LLaVA
Trust report
LlamaFactory
Trust report

Choose MPP-LLaVA if…

  • MPP-LLaVA is primarily Jupyter Notebook; LlamaFactory is Python.
  • Tags unique to MPP-LLaVA: model-parallel, deepspeed, qwen, pretraining.
  • Also covers Computer Vision.

When NOT to use MPP-LLaVA

  • Last GitHub push was 488 days ago (dormant maintenance, Mar 10, 2025). Validate activity before betting a new project on MPP-LLaVA.
  • 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…

  • LlamaFactory is primarily Python; MPP-LLaVA is Jupyter Notebook.
  • Tags unique to LlamaFactory: gemma, deepseek, ai, instruction-tuning.
  • 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

Explore

Sources

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

GitHub stars on cards: MPP-LLaVA 683 · LlamaFactory 73k (synced Jul 11, 2026).

Common questions

What is the difference between MPP-LLaVA and LlamaFactory?
MPP-LLaVA: Personal Project: MPP-Qwen14B & MPP-Qwen-Next(Multimodal Pipeline Parallel based on Qwen-LM). Support [video/image/multi-image] {sft/conversations}. Don't let the poverty limit your imagination! Train. LlamaFactory: Unified Efficient Fine-Tuning of 100+ LLMs & VLMs. See the comparison table for live GitHub stats and shared categories.
When should I choose MPP-LLaVA over LlamaFactory?
Choose MPP-LLaVA over LlamaFactory when MPP-LLaVA is primarily Jupyter Notebook; LlamaFactory is Python; Tags unique to MPP-LLaVA: model-parallel, deepspeed, qwen, pretraining; Also covers Computer Vision.
When should I choose LlamaFactory over MPP-LLaVA?
Choose LlamaFactory over MPP-LLaVA when LlamaFactory is primarily Python; MPP-LLaVA is Jupyter Notebook; Tags unique to LlamaFactory: gemma, deepseek, ai, instruction-tuning; When you need to fine-tune over 100 different LLMs or VLMs with efficient methods like LoRA or QLoRA.
When should I avoid MPP-LLaVA?
Last GitHub push was 488 days ago (dormant maintenance, Mar 10, 2025). Validate activity before betting a new project on MPP-LLaVA. 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 MPP-LLaVA or LlamaFactory more popular on GitHub?
LlamaFactory has more GitHub stars (73,157 vs 683). Stars measure visibility, not whether either tool fits your constraints.
Are MPP-LLaVA and LlamaFactory open source?
Yes - both are open-source projects on GitHub.
Where can I find alternatives to MPP-LLaVA or LlamaFactory?
GraphCanon lists graph-backed alternatives at MPP-LLaVA alternatives and LlamaFactory alternatives (MPP-LLaVA 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, MPP-LLaVA or LlamaFactory?
MPP-LLaVA: 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 MPP-LLaVA and LlamaFactory?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: MPP-LLaVA trust report; LlamaFactory trust report.