Home/Compare/LlamaFactory vs TransformerEngine

Comparison

LlamaFactory vs TransformerEngine

Verdict

Pick LlamaFactory when tags unique to LlamaFactory: gemma, fine-tuning, deepseek, ai; pick TransformerEngine when tags unique to TransformerEngine: deep-learning, fp4, cuda, fp8.

Markdown twin · LlamaFactory alternatives · TransformerEngine alternatives

GraphCanon updated today

LlamaFactory logo

LlamaFactory

hiyouga/LlamaFactory

73kpushed Jul 10, 2026
vs
TransformerEngine logo

TransformerEngine

NVIDIA/TransformerEngine

3.4kpushed Jul 10, 2026

Trust & integrity

SignalLlamaFactoryTransformerEngine
Maintenance
Very active (0d 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 · 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
TransformerEngine
A library accelerating Transformer models on NVIDIA GPUs using low precision formats.

Stars

LlamaFactory
73k
TransformerEngine
3.4k

Forks

LlamaFactory
8.9k
TransformerEngine
770

Open issues

LlamaFactory
1.1k
TransformerEngine
299

Language

LlamaFactory
Python
TransformerEngine
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.
TransformerEngine
-

Persona

LlamaFactory
-
TransformerEngine
-

Runtime

LlamaFactory
-
TransformerEngine
-

License

LlamaFactory
Apache-2.0
TransformerEngine
Apache-2.0

Last pushed

LlamaFactory
Jul 10, 2026
TransformerEngine
Jul 10, 2026

Categories

LlamaFactory
LLM Frameworks, Model Training
TransformerEngine
Model Training, Inference & Serving

Trust and health

Open issues (now)

LlamaFactory
1.1k
TransformerEngine
299

Owner type

LlamaFactory
User
TransformerEngine
Organization

Full report

LlamaFactory
Trust report
TransformerEngine
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 TransformerEngine if…

  • Tags unique to TransformerEngine: deep-learning, fp4, cuda, fp8.
  • Also covers Inference & Serving.
  • More recently updated (last pushed Jul 10, 2026).

When NOT to use TransformerEngine

  • Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
  • Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.

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 · TransformerEngine 3.4k (synced Jul 11, 2026).

Common questions

What is the difference between LlamaFactory and TransformerEngine?
LlamaFactory: Unified Efficient Fine-Tuning of 100+ LLMs & VLMs. TransformerEngine: A library accelerating Transformer models on NVIDIA GPUs using low precision formats.. See the comparison table for live GitHub stats and shared categories.
When should I choose LlamaFactory over TransformerEngine?
Choose LlamaFactory over TransformerEngine 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 TransformerEngine over LlamaFactory?
Choose TransformerEngine over LlamaFactory when Tags unique to TransformerEngine: deep-learning, fp4, cuda, fp8; Also covers Inference & Serving; More recently updated (last pushed Jul 10, 2026).
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 TransformerEngine?
Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
Is LlamaFactory or TransformerEngine more popular on GitHub?
LlamaFactory has more GitHub stars (73,157 vs 3,423). Stars measure visibility, not whether either tool fits your constraints.
Are LlamaFactory and TransformerEngine open source?
Yes - both are open-source projects on GitHub (LlamaFactory: Apache-2.0, TransformerEngine: Apache-2.0).
Where can I find alternatives to LlamaFactory or TransformerEngine?
GraphCanon lists graph-backed alternatives at LlamaFactory alternatives and TransformerEngine alternatives (LlamaFactory markdown twin, TransformerEngine 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 TransformerEngine?
LlamaFactory: Very active. TransformerEngine: 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 LlamaFactory and TransformerEngine?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: LlamaFactory trust report; TransformerEngine trust report.