Home/Compare/atlas vs LlamaFactory

Comparison

atlas vs LlamaFactory

Verdict

Pick atlas when atlas is primarily Rust; LlamaFactory is Python; pick LlamaFactory when llamaFactory is primarily Python; atlas is Rust.

Markdown twin · atlas alternatives · LlamaFactory alternatives

GraphCanon updated today

atlas logo

atlas

Avarok-Cybersecurity/atlas

588pushed Jul 10, 2026
vs
LlamaFactory logo

LlamaFactory

hiyouga/LlamaFactory

73kpushed Jul 10, 2026

Trust & integrity

SignalatlasLlamaFactory
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 · Organization 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

atlas
Pure Rust Inference Engine
LlamaFactory
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs

Stars

atlas
588
LlamaFactory
73k

Forks

atlas
83
LlamaFactory
8.9k

Open issues

atlas
61
LlamaFactory
1.1k

Language

atlas
Rust
LlamaFactory
Python

Adopt for

atlas
-
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

atlas
-
LlamaFactory
-

Runtime

atlas
-
LlamaFactory
-

License

atlas
AGPL-3.0
LlamaFactory
Apache-2.0

Last pushed

atlas
Jul 10, 2026
LlamaFactory
Jul 10, 2026

Categories

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

Trust and health

Open issues (now)

atlas
61
LlamaFactory
1.1k

Owner type

atlas
Organization
LlamaFactory
User

Full report

LlamaFactory
Trust report

Choose atlas if…

  • atlas is primarily Rust; LlamaFactory is Python.
  • License: atlas is AGPL-3.0, LlamaFactory is Apache-2.0.
  • Tags unique to atlas: cuda, dgx, dgx-spark, gb10.
  • Also covers Inference & Serving.

When NOT to use atlas

  • 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.

Choose LlamaFactory if…

  • LlamaFactory is primarily Python; atlas is Rust.
  • License: LlamaFactory is Apache-2.0, atlas is AGPL-3.0.
  • Tags unique to LlamaFactory: agent, ai, deepseek, fine-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: atlas 588 · LlamaFactory 73k (synced Jul 11, 2026).

Common questions

What is the difference between atlas and LlamaFactory?
atlas: Pure Rust Inference Engine. LlamaFactory: Unified Efficient Fine-Tuning of 100+ LLMs & VLMs. See the comparison table for live GitHub stats and shared categories.
When should I choose atlas over LlamaFactory?
Choose atlas over LlamaFactory when atlas is primarily Rust; LlamaFactory is Python; License: atlas is AGPL-3.0, LlamaFactory is Apache-2.0; Tags unique to atlas: cuda, dgx, dgx-spark, gb10; Also covers Inference & Serving.
When should I choose LlamaFactory over atlas?
Choose LlamaFactory over atlas when LlamaFactory is primarily Python; atlas is Rust; License: LlamaFactory is Apache-2.0, atlas is AGPL-3.0; Tags unique to LlamaFactory: agent, ai, deepseek, fine-tuning; When you need to fine-tune over 100 different LLMs or VLMs with efficient methods like LoRA or QLoRA.
When should I avoid atlas?
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.
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 atlas or LlamaFactory more popular on GitHub?
LlamaFactory has more GitHub stars (73,157 vs 588). Stars measure visibility, not whether either tool fits your constraints.
Are atlas and LlamaFactory open source?
Yes - both are open-source projects on GitHub (atlas: AGPL-3.0, LlamaFactory: Apache-2.0).
Where can I find alternatives to atlas or LlamaFactory?
GraphCanon lists graph-backed alternatives at atlas alternatives and LlamaFactory alternatives (atlas 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, atlas or LlamaFactory?
atlas: Very active. 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 atlas and LlamaFactory?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: atlas trust report; LlamaFactory trust report.