Home/Compare/LlamaFactory vs human-eval

Comparison

LlamaFactory vs human-eval

Verdict

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

Markdown twin · LlamaFactory alternatives · human-eval alternatives

GraphCanon updated today

LlamaFactory logo

LlamaFactory

hiyouga/LlamaFactory

73kpushed Jul 10, 2026
vs
human-eval logo

human-eval

openai/human-eval

3.3kpushed Jan 17, 2025

Trust & integrity

SignalLlamaFactoryhuman-eval
Maintenance
Very active (0d since push)
As of today · github_public_v1
Dormant (540d 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 criticals
As of today · osv@v1

Tagline

LlamaFactory
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs
human-eval
Code for the paper "Evaluating Large Language Models Trained on Code"

Stars

LlamaFactory
73k
human-eval
3.3k

Forks

LlamaFactory
8.9k
human-eval
449

Open issues

LlamaFactory
1.1k
human-eval
42

Language

LlamaFactory
Python
human-eval
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.
human-eval
-

Persona

LlamaFactory
-
human-eval
-

Runtime

LlamaFactory
-
human-eval
-

License

LlamaFactory
Apache-2.0
human-eval
MIT

Last pushed

LlamaFactory
Jul 10, 2026
human-eval
Jan 17, 2025

Categories

LlamaFactory
LLM Frameworks, Model Training
human-eval
Model Training, LLM Frameworks, Evaluation & Observability

Trust and health

Maintenance

LlamaFactory
Very active (96%)
human-eval
Dormant (18%)

Days since push

LlamaFactory
0d
human-eval
540d

Open issues (now)

LlamaFactory
1.1k
human-eval
42

Owner type

LlamaFactory
User
human-eval
Organization

Security scan

LlamaFactory
No lockfile
human-eval
No criticals

Full report

LlamaFactory
Trust report
human-eval
Trust report

Choose LlamaFactory if…

  • License: LlamaFactory is Apache-2.0, human-eval 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

Choose human-eval if…

  • License: human-eval is MIT, LlamaFactory is Apache-2.0.
  • Tags unique to human-eval: python.
  • Also covers Evaluation & Observability.

When NOT to use human-eval

  • Last GitHub push was 540 days ago (dormant maintenance, Jan 17, 2025). Validate activity before betting a new project on human-eval.
  • 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.
  • Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.

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 · human-eval 3.3k (synced Jul 11, 2026).

Common questions

What is the difference between LlamaFactory and human-eval?
LlamaFactory: Unified Efficient Fine-Tuning of 100+ LLMs & VLMs. human-eval: Code for the paper "Evaluating Large Language Models Trained on Code". See the comparison table for live GitHub stats and shared categories.
When should I choose LlamaFactory over human-eval?
Choose LlamaFactory over human-eval when License: LlamaFactory is Apache-2.0, human-eval 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 choose human-eval over LlamaFactory?
Choose human-eval over LlamaFactory when License: human-eval is MIT, LlamaFactory is Apache-2.0; Tags unique to human-eval: python; Also covers Evaluation & Observability.
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 human-eval?
Last GitHub push was 540 days ago (dormant maintenance, Jan 17, 2025). Validate activity before betting a new project on human-eval. 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. Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.
Is LlamaFactory or human-eval more popular on GitHub?
LlamaFactory has more GitHub stars (73,157 vs 3,294). Stars measure visibility, not whether either tool fits your constraints.
Are LlamaFactory and human-eval open source?
Yes - both are open-source projects on GitHub (LlamaFactory: Apache-2.0, human-eval: MIT).
Where can I find alternatives to LlamaFactory or human-eval?
GraphCanon lists graph-backed alternatives at LlamaFactory alternatives and human-eval alternatives (LlamaFactory markdown twin, human-eval 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 human-eval?
LlamaFactory: Very active. human-eval: 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 human-eval?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: LlamaFactory trust report; human-eval trust report.