Comparison
LlamaFactory vs trap
Verdict
Pick LlamaFactory when llamaFactory is primarily Python; trap is Jupyter Notebook; pick trap when trap is primarily Jupyter Notebook; LlamaFactory is Python.
Markdown twin · LlamaFactory alternatives · trap alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | LlamaFactory | trap |
|---|---|---|
| Maintenance | Very active (0d since push) As of today · github_public_v1 | Dormant (598d 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 | 242 low (242 low) As of today · osv@v1 |
Tagline
- LlamaFactory
- Unified Efficient Fine-Tuning of 100+ LLMs & VLMs
- trap
- Source code of "TRAP: Targeted Random Adversarial Prompt Honeypot for Black-Box Identification", ACL2024 (findings)
Stars
- LlamaFactory
- 73k
- trap
- 14
Forks
- LlamaFactory
- 8.9k
- trap
- 0
Open issues
- LlamaFactory
- 1.1k
- trap
- 0
Language
- LlamaFactory
- Python
- trap
- Jupyter Notebook
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.
- trap
- -
Persona
- LlamaFactory
- -
- trap
- -
Runtime
- LlamaFactory
- -
- trap
- -
License
- LlamaFactory
- Apache-2.0
- trap
- MIT
Last pushed
- LlamaFactory
- Jul 10, 2026
- trap
- Nov 20, 2024
Categories
- LlamaFactory
- LLM Frameworks, Model Training
- trap
- Data & Retrieval, LLM Frameworks, Model Training
Trust and health
Maintenance
- LlamaFactory
- Very active (96%)
- trap
- Dormant (18%)
Days since push
- LlamaFactory
- 0d
- trap
- 598d
Open issues (now)
- LlamaFactory
- 1.1k
- trap
- 0
Owner type
- LlamaFactory
- User
- trap
- Organization
Security scan
- LlamaFactory
- No lockfile
- trap
- 242 low (242 low)
Full report
- LlamaFactory
- Trust report
- trap
- Trust report
Choose LlamaFactory if…
- LlamaFactory is primarily Python; trap is Jupyter Notebook.
- License: LlamaFactory is Apache-2.0, trap is MIT.
- 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
Choose trap if…
- trap is primarily Jupyter Notebook; LlamaFactory is Python.
- License: trap is MIT, LlamaFactory is Apache-2.0.
- Tags unique to trap: acl2024, adversarial-attacks, fingerprint, fingerprinting.
- Also covers Data & Retrieval.
When NOT to use trap
- Last GitHub push was 598 days ago (dormant maintenance, Nov 20, 2024). Validate activity before betting a new project on trap.
- Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough.
- 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (hiyouga/LlamaFactory) · observed Jul 11, 2026
- GitHub forks (hiyouga/LlamaFactory) · observed Jul 11, 2026
- Last push (hiyouga/LlamaFactory) · observed Jul 10, 2026
- License file (Apache-2.0) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (parameterlab/trap) · observed Jul 11, 2026
- GitHub forks (parameterlab/trap) · observed Jul 11, 2026
- Last push (parameterlab/trap) · observed Nov 20, 2024
- License file (MIT) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: LlamaFactory 73k · trap 14 (synced Jul 11, 2026).
Common questions
- What is the difference between LlamaFactory and trap?
- LlamaFactory: Unified Efficient Fine-Tuning of 100+ LLMs & VLMs. trap: Source code of "TRAP: Targeted Random Adversarial Prompt Honeypot for Black-Box Identification", ACL2024 (findings). See the comparison table for live GitHub stats and shared categories.
- When should I choose LlamaFactory over trap?
- Choose LlamaFactory over trap when LlamaFactory is primarily Python; trap is Jupyter Notebook; License: LlamaFactory is Apache-2.0, trap is MIT; 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 trap over LlamaFactory?
- Choose trap over LlamaFactory when trap is primarily Jupyter Notebook; LlamaFactory is Python; License: trap is MIT, LlamaFactory is Apache-2.0; Tags unique to trap: acl2024, adversarial-attacks, fingerprint, fingerprinting; Also covers Data & Retrieval.
- 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 trap?
- Last GitHub push was 598 days ago (dormant maintenance, Nov 20, 2024). Validate activity before betting a new project on trap. Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. 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 trap more popular on GitHub?
- LlamaFactory has more GitHub stars (73,157 vs 14). Stars measure visibility, not whether either tool fits your constraints.
- Are LlamaFactory and trap open source?
- Yes - both are open-source projects on GitHub (LlamaFactory: Apache-2.0, trap: MIT).
- Where can I find alternatives to LlamaFactory or trap?
- GraphCanon lists graph-backed alternatives at LlamaFactory alternatives and trap alternatives (LlamaFactory markdown twin, trap 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 trap?
- LlamaFactory: Very active. trap: 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 trap?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: LlamaFactory trust report; trap trust report.