Home/Compare/LlamaFactory vs nndeploy

Comparison

LlamaFactory vs nndeploy

Verdict

Pick LlamaFactory when llamaFactory is primarily Python; nndeploy is C++; pick nndeploy when nndeploy is primarily C++; LlamaFactory is Python.

Markdown twin · LlamaFactory alternatives · nndeploy alternatives

GraphCanon updated today

LlamaFactory logo

LlamaFactory

hiyouga/LlamaFactory

73kpushed Jul 10, 2026
vs
nndeploy logo

nndeploy

nndeploy/nndeploy

1.8kpushed Apr 25, 2026

Trust & integrity

SignalLlamaFactorynndeploy
Maintenance
Very active (0d since push)
As of 4d · github_public_v1
Steady (80d since push)
As of today · github_public_v1
Provenance
Not a fork · Personal account
As of 4d · github_public_v1
Not a fork · Organization account
As of today · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of 4d · osv@v1
Published findings
As of today · 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

Tagline

LlamaFactory
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs
nndeploy
一款简单易用和高性能的AI部署框架 | An Easy-to-Use and High-Performance AI Deployment Framework

Stars

LlamaFactory
73k
nndeploy
1.8k

Forks

LlamaFactory
8.9k
nndeploy
226

Open issues

LlamaFactory
1.1k
nndeploy
23

Language

LlamaFactory
Python
nndeploy
C++

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.
nndeploy
-

Persona

LlamaFactory
-
nndeploy
-

Runtime

LlamaFactory
-
nndeploy
-

License

LlamaFactory
Apache-2.0
nndeploy
Apache-2.0

Last pushed

LlamaFactory
Jul 10, 2026
nndeploy
Apr 25, 2026

Categories

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

Trust and health

Maintenance

LlamaFactory
Very active (96%)
nndeploy
Steady (60%)

Days since push

LlamaFactory
0d
nndeploy
80d

Open issues (now)

LlamaFactory
1.1k
nndeploy
23

Owner type

LlamaFactory
User
nndeploy
Organization

OSV dependency advisories

LlamaFactory
No lockfile (source not queried)
nndeploy
Published findings

Full report

LlamaFactory
Trust report
nndeploy
Trust report

Choose LlamaFactory if…

  • LlamaFactory is primarily Python; nndeploy is C++.
  • Tags unique to LlamaFactory: agent, deepseek, fine-tuning, gemma.
  • 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 nndeploy if…

  • nndeploy is primarily C++; LlamaFactory is Python.
  • Tags unique to nndeploy: ascend, deep-learning, deployment, diffusers.
  • Also covers Inference & Serving.

When NOT to use nndeploy

  • Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
  • LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
  • Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.

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 · nndeploy 1.8k (synced Jul 11, 2026).

Common questions

What is the difference between LlamaFactory and nndeploy?
LlamaFactory: Unified Efficient Fine-Tuning of 100+ LLMs & VLMs. nndeploy: 一款简单易用和高性能的AI部署框架 | An Easy-to-Use and High-Performance AI Deployment Framework. See the comparison table for live GitHub stats and shared categories.
When should I choose LlamaFactory over nndeploy?
Choose LlamaFactory over nndeploy when LlamaFactory is primarily Python; nndeploy is C++; Tags unique to LlamaFactory: agent, deepseek, fine-tuning, gemma; When you need to fine-tune over 100 different LLMs or VLMs with efficient methods like LoRA or QLoRA.
When should I choose nndeploy over LlamaFactory?
Choose nndeploy over LlamaFactory when nndeploy is primarily C++; LlamaFactory is Python; Tags unique to nndeploy: ascend, deep-learning, deployment, diffusers; Also covers Inference & Serving.
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 nndeploy?
Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
Is LlamaFactory or nndeploy more popular on GitHub?
LlamaFactory has more GitHub stars (73,157 vs 1,847). Stars measure visibility, not whether either tool fits your constraints.
Are LlamaFactory and nndeploy open source?
Yes - both are open-source projects on GitHub (LlamaFactory: Apache-2.0, nndeploy: Apache-2.0).
Where can I find alternatives to LlamaFactory or nndeploy?
GraphCanon lists graph-backed alternatives at LlamaFactory alternatives and nndeploy alternatives (LlamaFactory markdown twin, nndeploy 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 nndeploy?
LlamaFactory: Very active. nndeploy: Steady. 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 nndeploy?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: LlamaFactory trust report; nndeploy trust report.

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