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Home/Compare/LlamaFactory vs awesome-free-llm-apis

Comparison

LlamaFactory vs awesome-free-llm-apis

Verdict

Pick LlamaFactory when llamaFactory is primarily Python; awesome-free-llm-apis is JavaScript; pick awesome-free-llm-apis when awesome-free-llm-apis is primarily JavaScript; LlamaFactory is Python.

Markdown twin · LlamaFactory alternatives · awesome-free-llm-apis alternatives

GraphCanon updated today

LlamaFactory logo

LlamaFactory

hiyouga/LlamaFactory

★ 73kpushed Jul 10, 2026
vs
awesome-free-llm-apis logo

awesome-free-llm-apis

mnfst/awesome-free-llm-apis

★ 5.8kpushed Jun 16, 2026

Trust & integrity

SignalLlamaFactoryawesome-free-llm-apis
Maintenance
Very active (0d since push)
As of 4d · github_public_v1
Active (28d since push)
As of today · github_public_v1
Provenance
Not a fork · Personal account
As of 4d · github_public_v1
Not a fork · Organization account
As of today · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of 4d · osv@v1
No lockfile (source not queried)
As of today · osv@v1
deps.dev advisories
Not queried
deps.dev@v1
Not queried
deps.dev@v1
OpenSSF Scorecard
Not queried
openssf-scorecard@v1
Not queried
openssf-scorecard@v1
LlamaFactory trust reportawesome-free-llm-apis trust reportTrust methodology

Tagline

LlamaFactory
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs
awesome-free-llm-apis
List of Permanent Free LLM API (API Keys)

Stars

LlamaFactory
73k
awesome-free-llm-apis
5.8k

Forks

LlamaFactory
8.9k
awesome-free-llm-apis
545

Open issues

LlamaFactory
1.1k
awesome-free-llm-apis
16

Language

LlamaFactory
Python
awesome-free-llm-apis
JavaScript

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.
awesome-free-llm-apis
-

Persona

LlamaFactory
-
awesome-free-llm-apis
-

Runtime

LlamaFactory
-
awesome-free-llm-apis
-

License

LlamaFactory
Apache-2.0
awesome-free-llm-apis
CC0-1.0

Last pushed

LlamaFactory
Jul 10, 2026
awesome-free-llm-apis
Jun 16, 2026

Categories

LlamaFactory
LLM Frameworks, Model Training
awesome-free-llm-apis
AI Agents, LLM Frameworks, Model Training

Trust and health

Maintenance

LlamaFactory
Very active (96%)
awesome-free-llm-apis
Active (82%)

Days since push

LlamaFactory
0d
awesome-free-llm-apis
28d

Open issues (now)

LlamaFactory
1.1k
awesome-free-llm-apis
16

Owner type

LlamaFactory
User
awesome-free-llm-apis
Organization

Full report

LlamaFactory
Trust report
awesome-free-llm-apis
Trust report

Choose LlamaFactory if…

  • LlamaFactory is primarily Python; awesome-free-llm-apis is JavaScript.
  • License: LlamaFactory is Apache-2.0, awesome-free-llm-apis is CC0-1.0.
  • 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
GitHubDetails

Choose awesome-free-llm-apis if…

  • awesome-free-llm-apis is primarily JavaScript; LlamaFactory is Python.
  • License: awesome-free-llm-apis is CC0-1.0, LlamaFactory is Apache-2.0.
  • Tags unique to awesome-free-llm-apis: ai-agents, anthropic, awesome, awesome-list.
  • Also covers AI Agents.

When NOT to use awesome-free-llm-apis

  • 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.
GitHubDetails

Explore

LlamaFactory trust report →awesome-free-llm-apis trust report →LLM Frameworks category →Model Training category →AI Agents 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 · awesome-free-llm-apis 5.8k (synced Jul 11, 2026).

Common questions

What is the difference between LlamaFactory and awesome-free-llm-apis?
LlamaFactory: Unified Efficient Fine-Tuning of 100+ LLMs & VLMs. awesome-free-llm-apis: List of Permanent Free LLM API (API Keys). See the comparison table for live GitHub stats and shared categories.
When should I choose LlamaFactory over awesome-free-llm-apis?
Choose LlamaFactory over awesome-free-llm-apis when LlamaFactory is primarily Python; awesome-free-llm-apis is JavaScript; License: LlamaFactory is Apache-2.0, awesome-free-llm-apis is CC0-1.0; 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 awesome-free-llm-apis over LlamaFactory?
Choose awesome-free-llm-apis over LlamaFactory when awesome-free-llm-apis is primarily JavaScript; LlamaFactory is Python; License: awesome-free-llm-apis is CC0-1.0, LlamaFactory is Apache-2.0; Tags unique to awesome-free-llm-apis: ai-agents, anthropic, awesome, awesome-list; Also covers AI Agents.
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 awesome-free-llm-apis?
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.
Is LlamaFactory or awesome-free-llm-apis more popular on GitHub?
LlamaFactory has more GitHub stars (73,157 vs 5,751). Stars measure visibility, not whether either tool fits your constraints.
Are LlamaFactory and awesome-free-llm-apis open source?
Yes - both are open-source projects on GitHub (LlamaFactory: Apache-2.0, awesome-free-llm-apis: CC0-1.0).
Where can I find alternatives to LlamaFactory or awesome-free-llm-apis?
GraphCanon lists graph-backed alternatives at LlamaFactory alternatives and awesome-free-llm-apis alternatives (LlamaFactory markdown twin, awesome-free-llm-apis 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 awesome-free-llm-apis?
LlamaFactory: Very active. awesome-free-llm-apis: 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 LlamaFactory and awesome-free-llm-apis?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: LlamaFactory trust report; awesome-free-llm-apis trust report.

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