Comparison
LlamaFactory vs vlms-zero-to-hero
Verdict
Pick LlamaFactory when llamaFactory is primarily Python; vlms-zero-to-hero is Jupyter Notebook; pick vlms-zero-to-hero when vlms-zero-to-hero is primarily Jupyter Notebook; LlamaFactory is Python.
Markdown twin · LlamaFactory alternatives · vlms-zero-to-hero alternatives
GraphCanon updated today
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Trust & integrity
| Signal | LlamaFactory | vlms-zero-to-hero |
|---|---|---|
| Maintenance | Very active (0d since push) As of today · github_public_v1 | Dormant (534d 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
- vlms-zero-to-hero
- This series will take you on a journey from the fundamentals of NLP and Computer Vision to the cutting edge of Vision-Language Models.
Stars
- LlamaFactory
- 73k
- vlms-zero-to-hero
- 1.2k
Forks
- LlamaFactory
- 8.9k
- vlms-zero-to-hero
- 103
Open issues
- LlamaFactory
- 1.1k
- vlms-zero-to-hero
- 1
Language
- LlamaFactory
- Python
- vlms-zero-to-hero
- Jupyter Notebook
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.
- vlms-zero-to-hero
- -
Persona
- LlamaFactory
- -
- vlms-zero-to-hero
- -
Runtime
- LlamaFactory
- -
- vlms-zero-to-hero
- -
License
- LlamaFactory
- Apache-2.0
- vlms-zero-to-hero
- Apache-2.0
Last pushed
- LlamaFactory
- Jul 10, 2026
- vlms-zero-to-hero
- Jan 23, 2025
Categories
- LlamaFactory
- LLM Frameworks, Model Training
- vlms-zero-to-hero
- Vector Databases, Model Training, LLM Frameworks
Trust and health
Maintenance
- LlamaFactory
- Very active (96%)
- vlms-zero-to-hero
- Dormant (18%)
Days since push
- LlamaFactory
- 0d
- vlms-zero-to-hero
- 534d
Open issues (now)
- LlamaFactory
- 1.1k
- vlms-zero-to-hero
- 1
Full report
- LlamaFactory
- Trust report
- vlms-zero-to-hero
- Trust report
Choose LlamaFactory if…
- LlamaFactory is primarily Python; vlms-zero-to-hero is Jupyter Notebook.
- 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
Choose vlms-zero-to-hero if…
- vlms-zero-to-hero is primarily Jupyter Notebook; LlamaFactory is Python.
- Tags unique to vlms-zero-to-hero: bert-model, embeddings, clip, lora.
- Also covers Vector Databases.
When NOT to use vlms-zero-to-hero
- Last GitHub push was 534 days ago (dormant maintenance, Jan 23, 2025). Validate activity before betting a new project on vlms-zero-to-hero.
- Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
- 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.
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 (SkalskiP/vlms-zero-to-hero) · observed Jul 11, 2026
- GitHub forks (SkalskiP/vlms-zero-to-hero) · observed Jul 11, 2026
- Last push (SkalskiP/vlms-zero-to-hero) · observed Jan 23, 2025
- License file (Apache-2.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: LlamaFactory 73k · vlms-zero-to-hero 1.2k (synced Jul 11, 2026).
Common questions
- What is the difference between LlamaFactory and vlms-zero-to-hero?
- LlamaFactory: Unified Efficient Fine-Tuning of 100+ LLMs & VLMs. vlms-zero-to-hero: This series will take you on a journey from the fundamentals of NLP and Computer Vision to the cutting edge of Vision-Language Models.. See the comparison table for live GitHub stats and shared categories.
- When should I choose LlamaFactory over vlms-zero-to-hero?
- Choose LlamaFactory over vlms-zero-to-hero when LlamaFactory is primarily Python; vlms-zero-to-hero is Jupyter Notebook; 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 choose vlms-zero-to-hero over LlamaFactory?
- Choose vlms-zero-to-hero over LlamaFactory when vlms-zero-to-hero is primarily Jupyter Notebook; LlamaFactory is Python; Tags unique to vlms-zero-to-hero: bert-model, embeddings, clip, lora; Also covers Vector Databases.
- 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 vlms-zero-to-hero?
- Last GitHub push was 534 days ago (dormant maintenance, Jan 23, 2025). Validate activity before betting a new project on vlms-zero-to-hero. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. 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.
- Is LlamaFactory or vlms-zero-to-hero more popular on GitHub?
- LlamaFactory has more GitHub stars (73,157 vs 1,181). Stars measure visibility, not whether either tool fits your constraints.
- Are LlamaFactory and vlms-zero-to-hero open source?
- Yes - both are open-source projects on GitHub (LlamaFactory: Apache-2.0, vlms-zero-to-hero: Apache-2.0).
- Where can I find alternatives to LlamaFactory or vlms-zero-to-hero?
- GraphCanon lists graph-backed alternatives at LlamaFactory alternatives and vlms-zero-to-hero alternatives (LlamaFactory markdown twin, vlms-zero-to-hero 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 vlms-zero-to-hero?
- LlamaFactory: Very active. vlms-zero-to-hero: 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 vlms-zero-to-hero?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: LlamaFactory trust report; vlms-zero-to-hero trust report.