Comparison
FlagAI vs LlamaFactory
Verdict
Pick FlagAI if flagAI is identified by its fast and scalable toolkit designed for managing large-scale AI models in Python, under an Apache-2.0 license; pick LlamaFactory if 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.
Markdown twin · FlagAI alternatives · LlamaFactory alternatives
GraphCanon updated 4d
vs
Trust & integrity
| Signal | FlagAI | LlamaFactory |
|---|---|---|
| Maintenance | Steady (33d since push) As of 4d · github_public_v1 | Very active (2d since push) As of 4d · github_public_v1 |
| Provenance | Not a fork · Organization account As of 4d · github_public_v1 | Not a fork · Personal account As of 4d · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · 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 |
Tagline
- FlagAI
- Fast, easy-to-use framework for large-scale AI models.
- LlamaFactory
- Unified Efficient Fine-Tuning of 100+ LLMs & VLMs
Stars
- FlagAI
- 3.9k
- LlamaFactory
- 74k
Forks
- FlagAI
- 416
- LlamaFactory
- 9.1k
Open issues
- FlagAI
- 22
- LlamaFactory
- 1.1k
Language
- FlagAI
- Python
- LlamaFactory
- Python
Adopt for
- FlagAI
- FlagAI is identified by its fast and scalable toolkit designed for managing large-scale AI models in Python, under an Apache-2.0 license.
- 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
- FlagAI
- -
- LlamaFactory
- -
Runtime
- FlagAI
- -
- LlamaFactory
- -
License
- FlagAI
- Apache-2.0
- LlamaFactory
- Apache-2.0
Last pushed
- FlagAI
- Jul 13, 2026
- LlamaFactory
- Aug 13, 2026
Categories
- FlagAI
- LLM Frameworks, Model Training
- LlamaFactory
- LLM Frameworks, Model Training
Trust and health
Maintenance
- FlagAI
- Steady (60%)
- LlamaFactory
- Very active (96%)
Days since push
- FlagAI
- 33d
- LlamaFactory
- 2d
Open issues (now)
- FlagAI
- 22
- LlamaFactory
- 1.1k
Stars delta
- FlagAI
- +2 (30d)
- LlamaFactory
- +803 (30d)
Open issues delta
- FlagAI
- 0 (30d)
- LlamaFactory
- +39 (30d)
Owner type
- FlagAI
- Organization
- LlamaFactory
- User
Full report
- FlagAI
- Trust report
- LlamaFactory
- Trust report
Shared compatibility
- Python · FlagAI: Python runtime · LlamaFactory: Python runtime
Choose FlagAI if…
- Tags unique to FlagAI: extensible, fast, large-scale models.
- FlagAI ships Docker support for self-hosted deployment.
- When you prioritize speed and extensibility during the development of large-scale AI models with a focus on easy-to-use interfaces.
When NOT to use FlagAI
- If your project necessitates a deep level of customization that might not be supported by FlagAI's framework.
- If you are working with smaller datasets, the overhead provided by FlagAI’s scalability features could be unnecessary and potentially inefficient.
Choose LlamaFactory if…
- 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.
- More GitHub stars (74k vs 3.9k) - visibility, not fit.
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 (FlagAI-Open/FlagAI) · observed Aug 15, 2026
- GitHub forks (FlagAI-Open/FlagAI) · observed Aug 15, 2026
- Last push (FlagAI-Open/FlagAI) · observed Jul 13, 2026
- License file (Apache-2.0) · observed Aug 15, 2026
- Decision facts (enrichment) · observed Jul 14, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (hiyouga/LlamaFactory) · observed Aug 16, 2026
- GitHub forks (hiyouga/LlamaFactory) · observed Aug 16, 2026
- Last push (hiyouga/LlamaFactory) · observed Aug 13, 2026
- License file (Apache-2.0) · observed Aug 16, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: FlagAI 3.9k · LlamaFactory 74k (synced Aug 15, 2026).
Common questions
- What is the difference between FlagAI and LlamaFactory?
- FlagAI: Fast, easy-to-use framework for large-scale AI models.. LlamaFactory: Unified Efficient Fine-Tuning of 100+ LLMs & VLMs. See the comparison table for live GitHub stats and shared categories.
- When should I choose FlagAI over LlamaFactory?
- Choose FlagAI over LlamaFactory when Tags unique to FlagAI: extensible, fast, large-scale models; FlagAI ships Docker support for self-hosted deployment; When you prioritize speed and extensibility during the development of large-scale AI models with a focus on easy-to-use interfaces.
- When should I choose LlamaFactory over FlagAI?
- Choose LlamaFactory over FlagAI when 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; More GitHub stars (74k vs 3.9k) - visibility, not fit.
- When should I avoid FlagAI?
- If your project necessitates a deep level of customization that might not be supported by FlagAI's framework. If you are working with smaller datasets, the overhead provided by FlagAI’s scalability features could be unnecessary and potentially inefficient.
- 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 FlagAI or LlamaFactory more popular on GitHub?
- LlamaFactory has more GitHub stars (74,132 vs 3,870). Stars measure visibility, not whether either tool fits your constraints.
- Are FlagAI and LlamaFactory open source?
- Yes - both are open-source projects on GitHub (FlagAI: Apache-2.0, LlamaFactory: Apache-2.0).
- Where can I find alternatives to FlagAI or LlamaFactory?
- GraphCanon lists graph-backed alternatives at FlagAI alternatives and LlamaFactory alternatives (FlagAI 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, FlagAI or LlamaFactory?
- FlagAI: Steady. 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 FlagAI and LlamaFactory?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: FlagAI trust report; LlamaFactory trust report.