Home/Compare/LlamaFactory vs optimum-tpu

Comparison

LlamaFactory vs optimum-tpu

Verdict

Pick LlamaFactory when tags unique to LlamaFactory: gemma, fine-tuning, deepseek, ai; pick optimum-tpu when tags unique to optimum-tpu: python.

Markdown twin · LlamaFactory alternatives · optimum-tpu alternatives

GraphCanon updated today

LlamaFactory logo

LlamaFactory

hiyouga/LlamaFactory

73kpushed Jul 10, 2026
vs
optimum-tpu logo

optimum-tpu

huggingface/optimum-tpu

135pushed Jan 23, 2026

Trust & integrity

SignalLlamaFactoryoptimum-tpu
Maintenance
Very active (0d since push)
As of today · github_public_v1
Archived (169d 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
1 critical, 3 medium, 17 low (1 critical, 3 medium, 17 low)
As of today · osv@v1

Tagline

LlamaFactory
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs
optimum-tpu
Google TPU optimizations for transformers models

Stars

LlamaFactory
73k
optimum-tpu
135

Forks

LlamaFactory
8.9k
optimum-tpu
30

Open issues

LlamaFactory
1.1k
optimum-tpu
4

Language

LlamaFactory
Python
optimum-tpu
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.
optimum-tpu
-

Persona

LlamaFactory
-
optimum-tpu
-

Runtime

LlamaFactory
-
optimum-tpu
-

License

LlamaFactory
Apache-2.0
optimum-tpu
Apache-2.0

Last pushed

LlamaFactory
Jul 10, 2026
optimum-tpu
Jan 23, 2026

Categories

LlamaFactory
LLM Frameworks, Model Training
optimum-tpu
LLM Frameworks, Model Training

Trust and health

Maintenance

LlamaFactory
Very active (96%)
optimum-tpu
Archived (8%)

Days since push

LlamaFactory
0d
optimum-tpu
169d

Archived on GitHub

LlamaFactory
No
optimum-tpu
Yes

Open issues (now)

LlamaFactory
1.1k
optimum-tpu
4

Owner type

LlamaFactory
User
optimum-tpu
Organization

Security scan

LlamaFactory
No lockfile
optimum-tpu
1 critical, 3 medium, 17 low (1 critical, 3 medium, 17 low)

Full report

LlamaFactory
Trust report
optimum-tpu
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 135) - 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 optimum-tpu if…

  • Tags unique to optimum-tpu: python.
  • Leaner open-issue backlog (4).

When NOT to use optimum-tpu

  • optimum-tpu is archived on GitHub. Prefer an active alternative unless you maintain a private fork or need a frozen dependency.
  • 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 · optimum-tpu 135 (synced Jul 11, 2026).

Common questions

What is the difference between LlamaFactory and optimum-tpu?
LlamaFactory: Unified Efficient Fine-Tuning of 100+ LLMs & VLMs. optimum-tpu: Google TPU optimizations for transformers models. See the comparison table for live GitHub stats and shared categories.
When should I choose LlamaFactory over optimum-tpu?
Choose LlamaFactory over optimum-tpu 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 135) - visibility, not fit.
When should I choose optimum-tpu over LlamaFactory?
Choose optimum-tpu over LlamaFactory when Tags unique to optimum-tpu: python; Leaner open-issue backlog (4).
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 optimum-tpu?
optimum-tpu is archived on GitHub. Prefer an active alternative unless you maintain a private fork or need a frozen dependency. 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 optimum-tpu more popular on GitHub?
LlamaFactory has more GitHub stars (73,157 vs 135). Stars measure visibility, not whether either tool fits your constraints.
Are LlamaFactory and optimum-tpu open source?
Yes - both are open-source projects on GitHub (LlamaFactory: Apache-2.0, optimum-tpu: Apache-2.0).
Where can I find alternatives to LlamaFactory or optimum-tpu?
GraphCanon lists graph-backed alternatives at LlamaFactory alternatives and optimum-tpu alternatives (LlamaFactory markdown twin, optimum-tpu 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 optimum-tpu?
LlamaFactory: Very active. optimum-tpu: Archived. 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 optimum-tpu?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: LlamaFactory trust report; optimum-tpu trust report.