Comparison
IndustryBench vs LlamaFactory
Verdict
Pick IndustryBench when license: IndustryBench is MIT, LlamaFactory is Apache-2.0; pick LlamaFactory when license: LlamaFactory is Apache-2.0, IndustryBench is MIT.
Markdown twin · IndustryBench alternatives · LlamaFactory alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | IndustryBench | LlamaFactory |
|---|---|---|
| Maintenance | Active (26d 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) | 4 medium, 3 low (4 medium, 3 low) As of today · osv@v1 | No lockfile As of today · none |
Tagline
- IndustryBench
- A multi-lingual benchmark for evaluating industrial domain knowledge of LLMs.
- LlamaFactory
- Unified Efficient Fine-Tuning of 100+ LLMs & VLMs
Stars
- IndustryBench
- 155
- LlamaFactory
- 73k
Forks
- IndustryBench
- 10
- LlamaFactory
- 8.9k
Open issues
- IndustryBench
- 1
- LlamaFactory
- 1.1k
Language
- IndustryBench
- Python
- LlamaFactory
- Python
Adopt for
- IndustryBench
- -
- 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
- IndustryBench
- -
- LlamaFactory
- -
Runtime
- IndustryBench
- -
- LlamaFactory
- -
License
- IndustryBench
- MIT
- LlamaFactory
- Apache-2.0
Last pushed
- IndustryBench
- Jun 15, 2026
- LlamaFactory
- Jul 10, 2026
Categories
- IndustryBench
- Data & Retrieval, LLM Frameworks, Model Training
- LlamaFactory
- Model Training, LLM Frameworks
Trust and health
Maintenance
- IndustryBench
- Active (82%)
- LlamaFactory
- Very active (96%)
Days since push
- IndustryBench
- 26d
- LlamaFactory
- 0d
Open issues (now)
- IndustryBench
- 1
- LlamaFactory
- 1.1k
Owner type
- IndustryBench
- Organization
- LlamaFactory
- User
Security scan
- IndustryBench
- 4 medium, 3 low (4 medium, 3 low)
- LlamaFactory
- No lockfile
Full report
- IndustryBench
- Trust report
- LlamaFactory
- Trust report
Choose IndustryBench if…
- License: IndustryBench is MIT, LlamaFactory is Apache-2.0.
- Tags unique to IndustryBench: python, industry-benchmark, llm evaluation.
- Also covers Data & Retrieval.
When NOT to use IndustryBench
- 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.
Choose LlamaFactory if…
- License: LlamaFactory is Apache-2.0, IndustryBench 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
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (alibaba-multimodal-industrial-ai/IndustryBench) · observed Jul 11, 2026
- GitHub forks (alibaba-multimodal-industrial-ai/IndustryBench) · observed Jul 11, 2026
- Last push (alibaba-multimodal-industrial-ai/IndustryBench) · observed Jun 15, 2026
- License file (MIT) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- 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 on cards: IndustryBench 155 · LlamaFactory 73k (synced Jul 11, 2026).
Common questions
- What is the difference between IndustryBench and LlamaFactory?
- IndustryBench: A multi-lingual benchmark for evaluating industrial domain knowledge of LLMs.. LlamaFactory: Unified Efficient Fine-Tuning of 100+ LLMs & VLMs. See the comparison table for live GitHub stats and shared categories.
- When should I choose IndustryBench over LlamaFactory?
- Choose IndustryBench over LlamaFactory when License: IndustryBench is MIT, LlamaFactory is Apache-2.0; Tags unique to IndustryBench: python, industry-benchmark, llm evaluation; Also covers Data & Retrieval.
- When should I choose LlamaFactory over IndustryBench?
- Choose LlamaFactory over IndustryBench when License: LlamaFactory is Apache-2.0, IndustryBench 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 avoid IndustryBench?
- 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.
- 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 IndustryBench or LlamaFactory more popular on GitHub?
- LlamaFactory has more GitHub stars (73,157 vs 155). Stars measure visibility, not whether either tool fits your constraints.
- Are IndustryBench and LlamaFactory open source?
- Yes - both are open-source projects on GitHub (IndustryBench: MIT, LlamaFactory: Apache-2.0).
- Where can I find alternatives to IndustryBench or LlamaFactory?
- GraphCanon lists graph-backed alternatives at IndustryBench alternatives and LlamaFactory alternatives (IndustryBench 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, IndustryBench or LlamaFactory?
- IndustryBench: Active. 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 IndustryBench and LlamaFactory?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: IndustryBench trust report; LlamaFactory trust report.