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Home/Compare/LlamaFactory vs quant.cpp

Comparison

LlamaFactory vs quant.cpp

Verdict

Pick LlamaFactory when llamaFactory is primarily Python; quant.cpp is C; pick quant.cpp when quant.cpp is primarily C; LlamaFactory is Python.

Markdown twin · LlamaFactory alternatives · quant.cpp alternatives

GraphCanon updated today

LlamaFactory logo

LlamaFactory

hiyouga/LlamaFactory

★ 73kpushed Jul 10, 2026
vs
quant.cpp logo

quant.cpp

quantumaikr/quant.cpp

★ 395pushed Apr 26, 2026

Trust & integrity

SignalLlamaFactoryquant.cpp
Maintenance
Very active (0d since push)
As of today · github_public_v1
Steady (76d 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
LlamaFactory trust reportquant.cpp trust reportTrust methodology

Tagline

LlamaFactory
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs
quant.cpp
LLM inference with 7x longer context. Pure C, zero dependencies. Lossless KV cache compression + single-header library.

Stars

LlamaFactory
73k
quant.cpp
395

Forks

LlamaFactory
8.9k
quant.cpp
43

Open issues

LlamaFactory
1.1k
quant.cpp
11

Language

LlamaFactory
Python
quant.cpp
C

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.
quant.cpp
-

Persona

LlamaFactory
-
quant.cpp
-

Runtime

LlamaFactory
-
quant.cpp
-

License

LlamaFactory
Apache-2.0
quant.cpp
Apache-2.0

Last pushed

LlamaFactory
Jul 10, 2026
quant.cpp
Apr 26, 2026

Categories

LlamaFactory
Model Training, LLM Frameworks
quant.cpp
Model Training, LLM Frameworks, Inference & Serving

Trust and health

Maintenance

LlamaFactory
Very active (96%)
quant.cpp
Steady (60%)

Days since push

LlamaFactory
0d
quant.cpp
76d

Open issues (now)

LlamaFactory
1.1k
quant.cpp
11

Owner type

LlamaFactory
User
quant.cpp
Organization

Full report

LlamaFactory
Trust report
quant.cpp
Trust report

Choose LlamaFactory if…

  • LlamaFactory is primarily Python; quant.cpp is C.
  • 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
GitHubDetails

Choose quant.cpp if…

  • quant.cpp is primarily C; LlamaFactory is Python.
  • Tags unique to quant.cpp: delta-compression, embeddable, llm, quantization.
  • Also covers Inference & Serving.

When NOT to use quant.cpp

  • 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.
  • Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
GitHubDetails

Explore

LlamaFactory trust report →quant.cpp trust report →Model Training category →LLM Frameworks category →Inference & Serving category →All comparisonsStack workflowsTrending tools

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 · quant.cpp 395 (synced Jul 11, 2026).

Common questions

What is the difference between LlamaFactory and quant.cpp?
LlamaFactory: Unified Efficient Fine-Tuning of 100+ LLMs & VLMs. quant.cpp: LLM inference with 7x longer context. Pure C, zero dependencies. Lossless KV cache compression + single-header library.. See the comparison table for live GitHub stats and shared categories.
When should I choose LlamaFactory over quant.cpp?
Choose LlamaFactory over quant.cpp when LlamaFactory is primarily Python; quant.cpp is C; 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 choose quant.cpp over LlamaFactory?
Choose quant.cpp over LlamaFactory when quant.cpp is primarily C; LlamaFactory is Python; Tags unique to quant.cpp: delta-compression, embeddable, llm, quantization; Also covers Inference & Serving.
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 quant.cpp?
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. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
Is LlamaFactory or quant.cpp more popular on GitHub?
LlamaFactory has more GitHub stars (73,157 vs 395). Stars measure visibility, not whether either tool fits your constraints.
Are LlamaFactory and quant.cpp open source?
Yes - both are open-source projects on GitHub (LlamaFactory: Apache-2.0, quant.cpp: Apache-2.0).
Where can I find alternatives to LlamaFactory or quant.cpp?
GraphCanon lists graph-backed alternatives at LlamaFactory alternatives and quant.cpp alternatives (LlamaFactory markdown twin, quant.cpp 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 quant.cpp?
LlamaFactory: Very active. quant.cpp: Steady. 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 quant.cpp?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: LlamaFactory trust report; quant.cpp trust report.