Home/Compare/lmql vs LlamaFactory

Comparison

lmql vs LlamaFactory

Verdict

Pick lmql when tags unique to lmql: python, programming-language, chatgpt, huggingface; pick LlamaFactory when tags unique to LlamaFactory: gemma, fine-tuning, deepseek, ai.

Markdown twin · lmql alternatives · LlamaFactory alternatives

GraphCanon updated today

lmql logo

lmql

eth-sri/lmql

4.2kpushed May 22, 2025
vs
LlamaFactory logo

LlamaFactory

hiyouga/LlamaFactory

73kpushed Jul 10, 2026

Trust & integrity

SignallmqlLlamaFactory
Maintenance
Dormant (415d 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

lmql
A language for constraint-guided and efficient LLM programming.
LlamaFactory
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs

Stars

lmql
4.2k
LlamaFactory
73k

Forks

lmql
220
LlamaFactory
8.9k

Open issues

lmql
120
LlamaFactory
1.1k

Language

lmql
Python
LlamaFactory
Python

Adopt for

lmql
-
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

lmql
-
LlamaFactory
-

Runtime

lmql
-
LlamaFactory
-

License

lmql
Apache-2.0
LlamaFactory
Apache-2.0

Last pushed

lmql
May 22, 2025
LlamaFactory
Jul 10, 2026

Categories

lmql
LLM Frameworks, Model Training
LlamaFactory
Model Training, LLM Frameworks

Trust and health

Maintenance

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

Days since push

lmql
415d
LlamaFactory
0d

Open issues (now)

lmql
120
LlamaFactory
1.1k

Owner type

lmql
Organization
LlamaFactory
User

Full report

LlamaFactory
Trust report

Choose lmql if…

  • Tags unique to lmql: python, programming-language, chatgpt, huggingface.
  • Leaner open-issue backlog (120).

When NOT to use lmql

  • Last GitHub push was 415 days ago (dormant maintenance, May 22, 2025). Validate activity before betting a new project on lmql.
  • 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…

  • 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 4.2k) - 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

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: lmql 4.2k · LlamaFactory 73k (synced Jul 11, 2026).

Common questions

What is the difference between lmql and LlamaFactory?
lmql: A language for constraint-guided and efficient LLM programming.. LlamaFactory: Unified Efficient Fine-Tuning of 100+ LLMs & VLMs. See the comparison table for live GitHub stats and shared categories.
When should I choose lmql over LlamaFactory?
Choose lmql over LlamaFactory when Tags unique to lmql: python, programming-language, chatgpt, huggingface; Leaner open-issue backlog (120).
When should I choose LlamaFactory over lmql?
Choose LlamaFactory over lmql 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 4.2k) - visibility, not fit.
When should I avoid lmql?
Last GitHub push was 415 days ago (dormant maintenance, May 22, 2025). Validate activity before betting a new project on lmql. 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 lmql or LlamaFactory more popular on GitHub?
LlamaFactory has more GitHub stars (73,157 vs 4,200). Stars measure visibility, not whether either tool fits your constraints.
Are lmql and LlamaFactory open source?
Yes - both are open-source projects on GitHub (lmql: Apache-2.0, LlamaFactory: Apache-2.0).
Where can I find alternatives to lmql or LlamaFactory?
GraphCanon lists graph-backed alternatives at lmql alternatives and LlamaFactory alternatives (lmql 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, lmql or LlamaFactory?
lmql: 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 lmql and LlamaFactory?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: lmql trust report; LlamaFactory trust report.