Home/Compare/LLM-VM vs LlamaFactory

Comparison

LLM-VM vs LlamaFactory

Verdict

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

Markdown twin · LLM-VM alternatives · LlamaFactory alternatives

GraphCanon updated today

LLM-VM logo

LLM-VM

anarchy-ai/LLM-VM

491pushed May 14, 2024
vs
LlamaFactory logo

LlamaFactory

hiyouga/LlamaFactory

73kpushed Jul 10, 2026

Trust & integrity

SignalLLM-VMLlamaFactory
Maintenance
Dormant (788d 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

LLM-VM
irresponsible innovation. Try now at https://chat.dev/
LlamaFactory
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs

Stars

LLM-VM
491
LlamaFactory
73k

Forks

LLM-VM
136
LlamaFactory
8.9k

Open issues

LLM-VM
130
LlamaFactory
1.1k

Language

LLM-VM
Python
LlamaFactory
Python

Adopt for

LLM-VM
-
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

LLM-VM
-
LlamaFactory
-

Runtime

LLM-VM
-
LlamaFactory
-

License

LLM-VM
MIT
LlamaFactory
Apache-2.0

Last pushed

LLM-VM
May 14, 2024
LlamaFactory
Jul 10, 2026

Categories

LLM-VM
AI Agents, LLM Frameworks, Model Training
LlamaFactory
Model Training, LLM Frameworks

Trust and health

Maintenance

LLM-VM
Dormant (18%)
LlamaFactory
Very active (96%)

Days since push

LLM-VM
788d
LlamaFactory
0d

Open issues (now)

LLM-VM
130
LlamaFactory
1.1k

Owner type

LLM-VM
Organization
LlamaFactory
User

Full report

LlamaFactory
Trust report

Choose LLM-VM if…

  • License: LLM-VM is MIT, LlamaFactory is Apache-2.0.
  • Tags unique to LLM-VM: distillation-model, deep-learning, llm-local, llm.
  • Also covers AI Agents.

When NOT to use LLM-VM

  • Last GitHub push was 789 days ago (dormant maintenance, May 14, 2024). Validate activity before betting a new project on LLM-VM.
  • AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
  • 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…

  • License: LlamaFactory is Apache-2.0, LLM-VM is MIT.
  • 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.

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: LLM-VM 491 · LlamaFactory 73k (synced Jul 11, 2026).

Common questions

What is the difference between LLM-VM and LlamaFactory?
LLM-VM: irresponsible innovation. Try now at https://chat.dev/. LlamaFactory: Unified Efficient Fine-Tuning of 100+ LLMs & VLMs. See the comparison table for live GitHub stats and shared categories.
When should I choose LLM-VM over LlamaFactory?
Choose LLM-VM over LlamaFactory when License: LLM-VM is MIT, LlamaFactory is Apache-2.0; Tags unique to LLM-VM: distillation-model, deep-learning, llm-local, llm; Also covers AI Agents.
When should I choose LlamaFactory over LLM-VM?
Choose LlamaFactory over LLM-VM when License: LlamaFactory is Apache-2.0, LLM-VM is MIT; 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.
When should I avoid LLM-VM?
Last GitHub push was 789 days ago (dormant maintenance, May 14, 2024). Validate activity before betting a new project on LLM-VM. AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. 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 LLM-VM or LlamaFactory more popular on GitHub?
LlamaFactory has more GitHub stars (73,157 vs 491). Stars measure visibility, not whether either tool fits your constraints.
Are LLM-VM and LlamaFactory open source?
Yes - both are open-source projects on GitHub (LLM-VM: MIT, LlamaFactory: Apache-2.0).
Where can I find alternatives to LLM-VM or LlamaFactory?
GraphCanon lists graph-backed alternatives at LLM-VM alternatives and LlamaFactory alternatives (LLM-VM 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, LLM-VM or LlamaFactory?
LLM-VM: Dormant. 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 LLM-VM and LlamaFactory?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: LLM-VM trust report; LlamaFactory trust report.