Comparison
model_card vs LlamaFactory
Verdict
Pick model_card when also covers Vector Databases; pick LlamaFactory when tags unique to LlamaFactory: gemma, fine-tuning, deepseek, ai.
Markdown twin · model_card alternatives · LlamaFactory alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | model_card | LlamaFactory |
|---|---|---|
| Maintenance | Dormant (1461d 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
- model_card
- model_card
- LlamaFactory
- Unified Efficient Fine-Tuning of 100+ LLMs & VLMs
Stars
- model_card
- 26
- LlamaFactory
- 73k
Forks
- model_card
- 5
- LlamaFactory
- 8.9k
Open issues
- model_card
- 0
- LlamaFactory
- 1.1k
Language
- model_card
- -
- LlamaFactory
- Python
Adopt for
- model_card
- -
- 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
- model_card
- -
- LlamaFactory
- -
Runtime
- model_card
- -
- LlamaFactory
- -
License
- model_card
- Apache-2.0
- LlamaFactory
- Apache-2.0
Last pushed
- model_card
- Jul 11, 2022
- LlamaFactory
- Jul 10, 2026
Categories
- model_card
- Model Training, LLM Frameworks, Vector Databases
- LlamaFactory
- Model Training, LLM Frameworks
Trust and health
Maintenance
- model_card
- Dormant (18%)
- LlamaFactory
- Very active (96%)
Days since push
- model_card
- 1461d
- LlamaFactory
- 0d
Open issues (now)
- model_card
- 0
- LlamaFactory
- 1.1k
Owner type
- model_card
- Organization
- LlamaFactory
- User
Full report
- model_card
- Trust report
- LlamaFactory
- Trust report
Choose model_card if…
- Also covers Vector Databases.
- Leaner open-issue backlog (0).
When NOT to use model_card
- Last GitHub push was 1461 days ago (dormant maintenance, Jul 11, 2022). Validate activity before betting a new project on model_card.
- 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.
- Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
Choose LlamaFactory if…
- 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.
- More GitHub stars (73k vs 26) - 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 (bigscience-workshop/model_card) · observed Jul 11, 2026
- GitHub forks (bigscience-workshop/model_card) · observed Jul 11, 2026
- Last push (bigscience-workshop/model_card) · observed Jul 11, 2022
- License file (Apache-2.0) · 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: model_card 26 · LlamaFactory 73k (synced Jul 11, 2026).
Common questions
- What is the difference between model_card and LlamaFactory?
- model_card: model_card. LlamaFactory: Unified Efficient Fine-Tuning of 100+ LLMs & VLMs. See the comparison table for live GitHub stats and shared categories.
- When should I choose model_card over LlamaFactory?
- Choose model_card over LlamaFactory when Also covers Vector Databases; Leaner open-issue backlog (0).
- When should I choose LlamaFactory over model_card?
- Choose LlamaFactory over model_card when 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; More GitHub stars (73k vs 26) - visibility, not fit.
- When should I avoid model_card?
- Last GitHub push was 1461 days ago (dormant maintenance, Jul 11, 2022). Validate activity before betting a new project on model_card. 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. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
- 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 model_card or LlamaFactory more popular on GitHub?
- LlamaFactory has more GitHub stars (73,157 vs 26). Stars measure visibility, not whether either tool fits your constraints.
- Are model_card and LlamaFactory open source?
- Yes - both are open-source projects on GitHub (model_card: Apache-2.0, LlamaFactory: Apache-2.0).
- Where can I find alternatives to model_card or LlamaFactory?
- GraphCanon lists graph-backed alternatives at model_card alternatives and LlamaFactory alternatives (model_card 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, model_card or LlamaFactory?
- model_card: 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 model_card and LlamaFactory?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: model_card trust report; LlamaFactory trust report.