Home/Compare/LlamaFactory vs octoml-profile

Comparison

LlamaFactory vs octoml-profile

Verdict

Pick LlamaFactory when tags unique to LlamaFactory: gemma, fine-tuning, deepseek, ai; pick octoml-profile when also covers Speech & Audio.

Markdown twin · LlamaFactory alternatives · octoml-profile alternatives

GraphCanon updated today

LlamaFactory logo

LlamaFactory

hiyouga/LlamaFactory

73kpushed Jul 10, 2026
vs
octoml-profile logo

octoml-profile

octoml/octoml-profile

114pushed Apr 24, 2023

Trust & integrity

SignalLlamaFactoryoctoml-profile
Maintenance
Very active (0d since push)
As of today · github_public_v1
Dormant (1174d 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
octoml-profile
Home for OctoML PyTorch Profiler

Stars

LlamaFactory
73k
octoml-profile
114

Forks

LlamaFactory
8.9k
octoml-profile
10

Open issues

LlamaFactory
1.1k
octoml-profile
0

Language

LlamaFactory
Python
octoml-profile
-

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.
octoml-profile
-

Persona

LlamaFactory
-
octoml-profile
-

Runtime

LlamaFactory
-
octoml-profile
-

License

LlamaFactory
Apache-2.0
octoml-profile
Apache-2.0

Last pushed

LlamaFactory
Jul 10, 2026
octoml-profile
Apr 24, 2023

Categories

LlamaFactory
Model Training, LLM Frameworks
octoml-profile
Model Training, LLM Frameworks, Speech & Audio

Trust and health

Maintenance

LlamaFactory
Very active (96%)
octoml-profile
Dormant (18%)

Days since push

LlamaFactory
0d
octoml-profile
1174d

Open issues (now)

LlamaFactory
1.1k
octoml-profile
0

Owner type

LlamaFactory
User
octoml-profile
Organization

Full report

LlamaFactory
Trust report
octoml-profile
Trust report

Choose LlamaFactory if…

  • Tags unique to LlamaFactory: gemma, fine-tuning, deepseek, ai.
  • When you need to fine-tune over 100 different LLMs or VLMs with efficient methods like LoRA or QLoRA.
  • More GitHub stars (73k vs 114) - visibility, not fit.

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 octoml-profile if…

  • Also covers Speech & Audio.
  • Leaner open-issue backlog (0).

When NOT to use octoml-profile

  • Last GitHub push was 1174 days ago (dormant maintenance, Apr 24, 2023). Validate activity before betting a new project on octoml-profile.
  • 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.

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 · octoml-profile 114 (synced Jul 11, 2026).

Common questions

What is the difference between LlamaFactory and octoml-profile?
LlamaFactory: Unified Efficient Fine-Tuning of 100+ LLMs & VLMs. octoml-profile: Home for OctoML PyTorch Profiler. See the comparison table for live GitHub stats and shared categories.
When should I choose LlamaFactory over octoml-profile?
Choose LlamaFactory over octoml-profile when Tags unique to LlamaFactory: gemma, fine-tuning, deepseek, ai; When you need to fine-tune over 100 different LLMs or VLMs with efficient methods like LoRA or QLoRA; More GitHub stars (73k vs 114) - visibility, not fit.
When should I choose octoml-profile over LlamaFactory?
Choose octoml-profile over LlamaFactory when Also covers Speech & Audio; 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 octoml-profile?
Last GitHub push was 1174 days ago (dormant maintenance, Apr 24, 2023). Validate activity before betting a new project on octoml-profile. 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.
Is LlamaFactory or octoml-profile more popular on GitHub?
LlamaFactory has more GitHub stars (73,157 vs 114). Stars measure visibility, not whether either tool fits your constraints.
Are LlamaFactory and octoml-profile open source?
Yes - both are open-source projects on GitHub (LlamaFactory: Apache-2.0, octoml-profile: Apache-2.0).
Where can I find alternatives to LlamaFactory or octoml-profile?
GraphCanon lists graph-backed alternatives at LlamaFactory alternatives and octoml-profile alternatives (LlamaFactory markdown twin, octoml-profile 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 octoml-profile?
LlamaFactory: Very active. octoml-profile: 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 octoml-profile?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: LlamaFactory trust report; octoml-profile trust report.