Home/Compare/LlamaFactory vs CodeT

Comparison

LlamaFactory vs CodeT

Verdict

Pick LlamaFactory when license: LlamaFactory is Apache-2.0, CodeT is MIT; pick CodeT when license: CodeT is MIT, LlamaFactory is Apache-2.0.

Markdown twin · LlamaFactory alternatives · CodeT alternatives

GraphCanon updated today

LlamaFactory logo

LlamaFactory

hiyouga/LlamaFactory

73kpushed Jul 10, 2026
vs
CodeT logo

CodeT

microsoft/CodeT

677pushed Nov 1, 2024

Trust & integrity

SignalLlamaFactoryCodeT
Maintenance
Very active (0d since push)
As of today · github_public_v1
Dormant (617d 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
CodeT
CodeT

Stars

LlamaFactory
73k
CodeT
677

Forks

LlamaFactory
8.9k
CodeT
86

Open issues

LlamaFactory
1.1k
CodeT
10

Language

LlamaFactory
Python
CodeT
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.
CodeT
-

Persona

LlamaFactory
-
CodeT
-

Runtime

LlamaFactory
-
CodeT
-

License

LlamaFactory
Apache-2.0
CodeT
MIT

Last pushed

LlamaFactory
Jul 10, 2026
CodeT
Nov 1, 2024

Categories

LlamaFactory
LLM Frameworks, Model Training
CodeT
Data & Retrieval, LLM Frameworks, Model Training

Trust and health

Maintenance

LlamaFactory
Very active (96%)
CodeT
Dormant (18%)

Days since push

LlamaFactory
0d
CodeT
617d

Open issues (now)

LlamaFactory
1.1k
CodeT
10

Owner type

LlamaFactory
User
CodeT
Organization

Full report

LlamaFactory
Trust report

Choose LlamaFactory if…

  • License: LlamaFactory is Apache-2.0, CodeT is MIT.
  • 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

Choose CodeT if…

  • License: CodeT is MIT, LlamaFactory is Apache-2.0.
  • Tags unique to CodeT: python.
  • Also covers Data & Retrieval.

When NOT to use CodeT

  • Last GitHub push was 617 days ago (dormant maintenance, Nov 1, 2024). Validate activity before betting a new project on CodeT.
  • Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough.
  • 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 · CodeT 677 (synced Jul 11, 2026).

Common questions

What is the difference between LlamaFactory and CodeT?
LlamaFactory: Unified Efficient Fine-Tuning of 100+ LLMs & VLMs. CodeT: CodeT. See the comparison table for live GitHub stats and shared categories.
When should I choose LlamaFactory over CodeT?
Choose LlamaFactory over CodeT when License: LlamaFactory is Apache-2.0, CodeT is MIT; 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 choose CodeT over LlamaFactory?
Choose CodeT over LlamaFactory when License: CodeT is MIT, LlamaFactory is Apache-2.0; Tags unique to CodeT: python; Also covers Data & Retrieval.
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 CodeT?
Last GitHub push was 617 days ago (dormant maintenance, Nov 1, 2024). Validate activity before betting a new project on CodeT. Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. 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 CodeT more popular on GitHub?
LlamaFactory has more GitHub stars (73,157 vs 677). Stars measure visibility, not whether either tool fits your constraints.
Are LlamaFactory and CodeT open source?
Yes - both are open-source projects on GitHub (LlamaFactory: Apache-2.0, CodeT: MIT).
Where can I find alternatives to LlamaFactory or CodeT?
GraphCanon lists graph-backed alternatives at LlamaFactory alternatives and CodeT alternatives (LlamaFactory markdown twin, CodeT 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 CodeT?
LlamaFactory: Very active. CodeT: 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 CodeT?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: LlamaFactory trust report; CodeT trust report.