Comparison
LlamaFactory vs m-courtyard
Verdict
Pick LlamaFactory when llamaFactory is primarily Python; m-courtyard is TypeScript; pick m-courtyard when m-courtyard is primarily TypeScript; LlamaFactory is Python.
Markdown twin · LlamaFactory alternatives · m-courtyard alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | LlamaFactory | m-courtyard |
|---|---|---|
| Maintenance | Very active (0d since push) As of 4d · github_public_v1 | Very active (4d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Personal account As of 4d · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 4d · osv@v1 | No lockfile (source not queried) As of today · 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
- LlamaFactory
- Unified Efficient Fine-Tuning of 100+ LLMs & VLMs
- m-courtyard
- M-Courtyard: Local AI Model Fine-tuning Assistant for Apple Silicon. Zero-code, zero-cloud, privacy-first desktop app powered by Tauri + React + mlx-lm.
Stars
- LlamaFactory
- 73k
- m-courtyard
- 156
Forks
- LlamaFactory
- 8.9k
- m-courtyard
- 14
Open issues
- LlamaFactory
- 1.1k
- m-courtyard
- 1
Language
- LlamaFactory
- Python
- m-courtyard
- TypeScript
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.
- m-courtyard
- -
Persona
- LlamaFactory
- -
- m-courtyard
- -
Runtime
- LlamaFactory
- -
- m-courtyard
- -
License
- LlamaFactory
- Apache-2.0
- m-courtyard
- Other
Last pushed
- LlamaFactory
- Jul 10, 2026
- m-courtyard
- Jul 11, 2026
Categories
- LlamaFactory
- LLM Frameworks, Model Training
- m-courtyard
- Inference & Serving, LLM Frameworks, Model Training
Trust and health
Days since push
- LlamaFactory
- 0d
- m-courtyard
- 4d
Open issues (now)
- LlamaFactory
- 1.1k
- m-courtyard
- 1
Owner type
- LlamaFactory
- User
- m-courtyard
- Organization
Full report
- LlamaFactory
- Trust report
- m-courtyard
- Trust report
Choose LlamaFactory if…
- LlamaFactory is primarily Python; m-courtyard is TypeScript.
- License: LlamaFactory is Apache-2.0, m-courtyard is Other.
- Tags unique to LlamaFactory: agent, ai, deepseek, gemma.
- 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 m-courtyard if…
- m-courtyard is primarily TypeScript; LlamaFactory is Python.
- License: m-courtyard is Other, LlamaFactory is Apache-2.0.
- Tags unique to m-courtyard: ai-assistant, apple-silicon, desktop-app, llm.
- Also covers Inference & Serving.
When NOT to use m-courtyard
- Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
- 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 (Mcourtyard/m-courtyard) · observed Jul 15, 2026
- GitHub forks (Mcourtyard/m-courtyard) · observed Jul 15, 2026
- Last push (Mcourtyard/m-courtyard) · observed Jul 11, 2026
- License file (Other) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: LlamaFactory 73k · m-courtyard 156 (synced Jul 11, 2026).
Common questions
- What is the difference between LlamaFactory and m-courtyard?
- LlamaFactory: Unified Efficient Fine-Tuning of 100+ LLMs & VLMs. m-courtyard: M-Courtyard: Local AI Model Fine-tuning Assistant for Apple Silicon. Zero-code, zero-cloud, privacy-first desktop app powered by Tauri + React + mlx-lm.. See the comparison table for live GitHub stats and shared categories.
- When should I choose LlamaFactory over m-courtyard?
- Choose LlamaFactory over m-courtyard when LlamaFactory is primarily Python; m-courtyard is TypeScript; License: LlamaFactory is Apache-2.0, m-courtyard is Other; Tags unique to LlamaFactory: agent, ai, deepseek, gemma; When you need to fine-tune over 100 different LLMs or VLMs with efficient methods like LoRA or QLoRA.
- When should I choose m-courtyard over LlamaFactory?
- Choose m-courtyard over LlamaFactory when m-courtyard is primarily TypeScript; LlamaFactory is Python; License: m-courtyard is Other, LlamaFactory is Apache-2.0; Tags unique to m-courtyard: ai-assistant, apple-silicon, desktop-app, llm; Also covers Inference & Serving.
- 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 m-courtyard?
- Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. 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 m-courtyard more popular on GitHub?
- LlamaFactory has more GitHub stars (73,157 vs 156). Stars measure visibility, not whether either tool fits your constraints.
- Are LlamaFactory and m-courtyard open source?
- Yes - both are open-source projects on GitHub (LlamaFactory: Apache-2.0, m-courtyard: Other).
- Where can I find alternatives to LlamaFactory or m-courtyard?
- GraphCanon lists graph-backed alternatives at LlamaFactory alternatives and m-courtyard alternatives (LlamaFactory markdown twin, m-courtyard 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 m-courtyard?
- LlamaFactory: Very active. m-courtyard: 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 LlamaFactory and m-courtyard?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: LlamaFactory trust report; m-courtyard trust report.