Comparison
LlamaFactory vs Awesome-AI-Data-Guided-Projects
Verdict
Pick LlamaFactory when license: LlamaFactory is Apache-2.0, Awesome-AI-Data-Guided-Projects is GPL-3.0; pick Awesome-AI-Data-Guided-Projects when license: Awesome-AI-Data-Guided-Projects is GPL-3.0, LlamaFactory is Apache-2.0.
Markdown twin · LlamaFactory alternatives · Awesome-AI-Data-Guided-Projects alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | LlamaFactory | Awesome-AI-Data-Guided-Projects |
|---|---|---|
| Maintenance | Very active (0d since push) As of today · github_public_v1 | Dormant (797d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Personal 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
- LlamaFactory
- Unified Efficient Fine-Tuning of 100+ LLMs & VLMs
- Awesome-AI-Data-Guided-Projects
- A curated list of data science & AI guided projects to start building your portfolio
Stars
- LlamaFactory
- 73k
- Awesome-AI-Data-Guided-Projects
- 722
Forks
- LlamaFactory
- 8.9k
- Awesome-AI-Data-Guided-Projects
- 150
Open issues
- LlamaFactory
- 1.1k
- Awesome-AI-Data-Guided-Projects
- 2
Language
- LlamaFactory
- Python
- Awesome-AI-Data-Guided-Projects
- -
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.
- Awesome-AI-Data-Guided-Projects
- -
Persona
- LlamaFactory
- -
- Awesome-AI-Data-Guided-Projects
- -
Runtime
- LlamaFactory
- -
- Awesome-AI-Data-Guided-Projects
- -
License
- LlamaFactory
- Apache-2.0
- Awesome-AI-Data-Guided-Projects
- GPL-3.0
Last pushed
- LlamaFactory
- Jul 10, 2026
- Awesome-AI-Data-Guided-Projects
- May 5, 2024
Categories
- LlamaFactory
- LLM Frameworks, Model Training
- Awesome-AI-Data-Guided-Projects
- Model Training, LLM Frameworks, Inference & Serving
Trust and health
Maintenance
- LlamaFactory
- Very active (96%)
- Awesome-AI-Data-Guided-Projects
- Dormant (18%)
Days since push
- LlamaFactory
- 0d
- Awesome-AI-Data-Guided-Projects
- 797d
Open issues (now)
- LlamaFactory
- 1.1k
- Awesome-AI-Data-Guided-Projects
- 2
Full report
- LlamaFactory
- Trust report
- Awesome-AI-Data-Guided-Projects
- Trust report
Choose LlamaFactory if…
- License: LlamaFactory is Apache-2.0, Awesome-AI-Data-Guided-Projects is GPL-3.0.
- Tags unique to LlamaFactory: gemma, fine-tuning, deepseek, instruction-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 Awesome-AI-Data-Guided-Projects if…
- License: Awesome-AI-Data-Guided-Projects is GPL-3.0, LlamaFactory is Apache-2.0.
- Tags unique to Awesome-AI-Data-Guided-Projects: deep-learning, llm, datascience, machine-learning.
- Also covers Inference & Serving.
When NOT to use Awesome-AI-Data-Guided-Projects
- Last GitHub push was 797 days ago (dormant maintenance, May 5, 2024). Validate activity before betting a new project on Awesome-AI-Data-Guided-Projects.
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
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 (youssefHosni/Awesome-AI-Data-Guided-Projects) · observed Jul 11, 2026
- GitHub forks (youssefHosni/Awesome-AI-Data-Guided-Projects) · observed Jul 11, 2026
- Last push (youssefHosni/Awesome-AI-Data-Guided-Projects) · observed May 5, 2024
- License file (GPL-3.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: LlamaFactory 73k · Awesome-AI-Data-Guided-Projects 722 (synced Jul 11, 2026).
Common questions
- What is the difference between LlamaFactory and Awesome-AI-Data-Guided-Projects?
- LlamaFactory: Unified Efficient Fine-Tuning of 100+ LLMs & VLMs. Awesome-AI-Data-Guided-Projects: A curated list of data science & AI guided projects to start building your portfolio. See the comparison table for live GitHub stats and shared categories.
- When should I choose LlamaFactory over Awesome-AI-Data-Guided-Projects?
- Choose LlamaFactory over Awesome-AI-Data-Guided-Projects when License: LlamaFactory is Apache-2.0, Awesome-AI-Data-Guided-Projects is GPL-3.0; Tags unique to LlamaFactory: gemma, fine-tuning, deepseek, instruction-tuning; When you need to fine-tune over 100 different LLMs or VLMs with efficient methods like LoRA or QLoRA.
- When should I choose Awesome-AI-Data-Guided-Projects over LlamaFactory?
- Choose Awesome-AI-Data-Guided-Projects over LlamaFactory when License: Awesome-AI-Data-Guided-Projects is GPL-3.0, LlamaFactory is Apache-2.0; Tags unique to Awesome-AI-Data-Guided-Projects: deep-learning, llm, datascience, machine-learning; 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 Awesome-AI-Data-Guided-Projects?
- Last GitHub push was 797 days ago (dormant maintenance, May 5, 2024). Validate activity before betting a new project on Awesome-AI-Data-Guided-Projects. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
- Is LlamaFactory or Awesome-AI-Data-Guided-Projects more popular on GitHub?
- LlamaFactory has more GitHub stars (73,157 vs 722). Stars measure visibility, not whether either tool fits your constraints.
- Are LlamaFactory and Awesome-AI-Data-Guided-Projects open source?
- Yes - both are open-source projects on GitHub (LlamaFactory: Apache-2.0, Awesome-AI-Data-Guided-Projects: GPL-3.0).
- Where can I find alternatives to LlamaFactory or Awesome-AI-Data-Guided-Projects?
- GraphCanon lists graph-backed alternatives at LlamaFactory alternatives and Awesome-AI-Data-Guided-Projects alternatives (LlamaFactory markdown twin, Awesome-AI-Data-Guided-Projects 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 Awesome-AI-Data-Guided-Projects?
- LlamaFactory: Very active. Awesome-AI-Data-Guided-Projects: 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 Awesome-AI-Data-Guided-Projects?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: LlamaFactory trust report; Awesome-AI-Data-Guided-Projects trust report.