Comparison
circuit-breakers vs LlamaFactory
Verdict
Pick circuit-breakers when circuit-breakers is primarily Jupyter Notebook; LlamaFactory is Python; pick LlamaFactory when llamaFactory is primarily Python; circuit-breakers is Jupyter Notebook.
Markdown twin · circuit-breakers alternatives · LlamaFactory alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | circuit-breakers | LlamaFactory |
|---|---|---|
| Maintenance | Dormant (655d 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) | No lockfile As of today · none | No lockfile As of today · none |
Tagline
- circuit-breakers
- Improving Alignment and Robustness with Circuit Breakers
- LlamaFactory
- Unified Efficient Fine-Tuning of 100+ LLMs & VLMs
Stars
- circuit-breakers
- 265
- LlamaFactory
- 73k
Forks
- circuit-breakers
- 43
- LlamaFactory
- 8.9k
Open issues
- circuit-breakers
- 13
- LlamaFactory
- 1.1k
Language
- circuit-breakers
- Jupyter Notebook
- LlamaFactory
- Python
Adopt for
- circuit-breakers
- -
- 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
- circuit-breakers
- -
- LlamaFactory
- -
Runtime
- circuit-breakers
- -
- LlamaFactory
- -
License
- circuit-breakers
- MIT
- LlamaFactory
- Apache-2.0
Last pushed
- circuit-breakers
- Sep 24, 2024
- LlamaFactory
- Jul 10, 2026
Categories
- circuit-breakers
- LLM Frameworks, Model Training
- LlamaFactory
- Model Training, LLM Frameworks
Trust and health
Maintenance
- circuit-breakers
- Dormant (18%)
- LlamaFactory
- Very active (96%)
Days since push
- circuit-breakers
- 655d
- LlamaFactory
- 0d
Open issues (now)
- circuit-breakers
- 13
- LlamaFactory
- 1.1k
Owner type
- circuit-breakers
- Organization
- LlamaFactory
- User
Full report
- circuit-breakers
- Trust report
- LlamaFactory
- Trust report
Choose circuit-breakers if…
- circuit-breakers is primarily Jupyter Notebook; LlamaFactory is Python.
- License: circuit-breakers is MIT, LlamaFactory is Apache-2.0.
- Tags unique to circuit-breakers: jupyter notebook.
When NOT to use circuit-breakers
- Last GitHub push was 655 days ago (dormant maintenance, Sep 24, 2024). Validate activity before betting a new project on circuit-breakers.
- 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…
- LlamaFactory is primarily Python; circuit-breakers is Jupyter Notebook.
- License: LlamaFactory is Apache-2.0, circuit-breakers 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 (GraySwanAI/circuit-breakers) · observed Jul 11, 2026
- GitHub forks (GraySwanAI/circuit-breakers) · observed Jul 11, 2026
- Last push (GraySwanAI/circuit-breakers) · observed Sep 24, 2024
- 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: circuit-breakers 265 · LlamaFactory 73k (synced Jul 11, 2026).
Common questions
- What is the difference between circuit-breakers and LlamaFactory?
- circuit-breakers: Improving Alignment and Robustness with Circuit Breakers. LlamaFactory: Unified Efficient Fine-Tuning of 100+ LLMs & VLMs. See the comparison table for live GitHub stats and shared categories.
- When should I choose circuit-breakers over LlamaFactory?
- Choose circuit-breakers over LlamaFactory when circuit-breakers is primarily Jupyter Notebook; LlamaFactory is Python; License: circuit-breakers is MIT, LlamaFactory is Apache-2.0; Tags unique to circuit-breakers: jupyter notebook.
- When should I choose LlamaFactory over circuit-breakers?
- Choose LlamaFactory over circuit-breakers when LlamaFactory is primarily Python; circuit-breakers is Jupyter Notebook; License: LlamaFactory is Apache-2.0, circuit-breakers 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 circuit-breakers?
- Last GitHub push was 655 days ago (dormant maintenance, Sep 24, 2024). Validate activity before betting a new project on circuit-breakers. 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 circuit-breakers or LlamaFactory more popular on GitHub?
- LlamaFactory has more GitHub stars (73,157 vs 265). Stars measure visibility, not whether either tool fits your constraints.
- Are circuit-breakers and LlamaFactory open source?
- Yes - both are open-source projects on GitHub (circuit-breakers: MIT, LlamaFactory: Apache-2.0).
- Where can I find alternatives to circuit-breakers or LlamaFactory?
- GraphCanon lists graph-backed alternatives at circuit-breakers alternatives and LlamaFactory alternatives (circuit-breakers 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, circuit-breakers or LlamaFactory?
- circuit-breakers: Dormant. 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 circuit-breakers and LlamaFactory?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: circuit-breakers trust report; LlamaFactory trust report.