Home/Compare/LlamaFactory vs RegaVAE

Comparison

LlamaFactory vs RegaVAE

Verdict

Pick LlamaFactory if 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; pick RegaVAE if regaVAE brings a unique approach by integrating retrieval mechanisms with Gaussian Mixture VAEs to enhance language modeling.

Markdown twin · LlamaFactory alternatives · RegaVAE alternatives

GraphCanon updated today

LlamaFactory logo

LlamaFactory

hiyouga/LlamaFactory

73kpushed Jul 10, 2026
vs
RegaVAE logo

RegaVAE

TrustedLLM/RegaVAE

15pushed Dec 5, 2023

Trust & integrity

SignalLlamaFactoryRegaVAE
Maintenance
Very active (0d since push)
As of today · github_public_v1
Dormant (949d since push)
As of today · github_public_v1
Provenance
Not a fork · Personal account
As of today · github_public_v1
Not a fork · Organization account
As of today · github_public_v1
Security (OSV)
No lockfile
As of today · none
No lockfile
As of today · none

Tagline

LlamaFactory
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs
RegaVAE
A Retrieval-Augmented Gaussian Mixture Variational Auto-Encoder for Language Modeling

Stars

LlamaFactory
73k
RegaVAE
15

Forks

LlamaFactory
8.9k
RegaVAE
1

Open issues

LlamaFactory
1.1k
RegaVAE
0

Language

LlamaFactory
Python
RegaVAE
Python

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.
RegaVAE
RegaVAE brings a unique approach by integrating retrieval mechanisms with Gaussian Mixture VAEs to enhance language modeling.

Persona

LlamaFactory
-
RegaVAE
-

Runtime

LlamaFactory
-
RegaVAE
-

License

LlamaFactory
Apache-2.0
RegaVAE
-

Last pushed

LlamaFactory
Jul 10, 2026
RegaVAE
Dec 5, 2023

Categories

LlamaFactory
Model Training, LLM Frameworks
RegaVAE
Model Training

Trust and health

Maintenance

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

Days since push

LlamaFactory
0d
RegaVAE
949d

Open issues (now)

LlamaFactory
1.1k
RegaVAE
0

Owner type

LlamaFactory
User
RegaVAE
Organization

Full report

LlamaFactory
Trust report

Choose LlamaFactory if…

  • Tags unique to LlamaFactory: gemma, fine-tuning, deepseek, ai.
  • Also covers LLM Frameworks.
  • 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

Choose RegaVAE if…

  • Tags unique to RegaVAE: language modeling, variational auto-encoder, retrieval-augmentation.
  • When seeking to leverage both historical and future information in the latent space for improved language generation.
  • Leaner open-issue backlog (0).

When NOT to use RegaVAE

  • If traditional Variational Auto-Encoders (VAEs) without retrieval components suffice for your needs, as RegaVAE introduces complexity that may not be necessary in simpler scenarios.
  • When dataset requirements exceed available resources or when datasets with specific formatting are hard to obtain and adapt.

Explore

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 · RegaVAE 15 (synced Jul 11, 2026).

Common questions

What is the difference between LlamaFactory and RegaVAE?
LlamaFactory: Unified Efficient Fine-Tuning of 100+ LLMs & VLMs. RegaVAE: A Retrieval-Augmented Gaussian Mixture Variational Auto-Encoder for Language Modeling. See the comparison table for live GitHub stats and shared categories.
When should I choose LlamaFactory over RegaVAE?
Choose LlamaFactory over RegaVAE when Tags unique to LlamaFactory: gemma, fine-tuning, deepseek, ai; Also covers LLM Frameworks; When you need to fine-tune over 100 different LLMs or VLMs with efficient methods like LoRA or QLoRA.
When should I choose RegaVAE over LlamaFactory?
Choose RegaVAE over LlamaFactory when Tags unique to RegaVAE: language modeling, variational auto-encoder, retrieval-augmentation; When seeking to leverage both historical and future information in the latent space for improved language generation; 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 RegaVAE?
If traditional Variational Auto-Encoders (VAEs) without retrieval components suffice for your needs, as RegaVAE introduces complexity that may not be necessary in simpler scenarios. When dataset requirements exceed available resources or when datasets with specific formatting are hard to obtain and adapt.
Is LlamaFactory or RegaVAE more popular on GitHub?
LlamaFactory has more GitHub stars (73,157 vs 15). Stars measure visibility, not whether either tool fits your constraints.
Are LlamaFactory and RegaVAE open source?
Yes - both are open-source projects on GitHub.
Where can I find alternatives to LlamaFactory or RegaVAE?
GraphCanon lists graph-backed alternatives at LlamaFactory alternatives and RegaVAE alternatives (LlamaFactory markdown twin, RegaVAE 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 RegaVAE?
LlamaFactory: Very active. RegaVAE: 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 RegaVAE?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: LlamaFactory trust report; RegaVAE trust report.