---
title: "LlamaFactory vs vlms-zero-to-hero"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/hiyouga-llamafactory-vs-skalskip-vlms-zero-to-hero"
tools: ["hiyouga-llamafactory", "skalskip-vlms-zero-to-hero"]
---

# LlamaFactory vs vlms-zero-to-hero

*GraphCanon updated Jul 12, 2026*

## Verdict

Pick LlamaFactory if 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; pick vlms-zero-to-hero if a comprehensive guide for those seeking a deep understanding of NLP and CV leading to advanced Vision-Language models.

[LlamaFactory](https://llamafactory.readthedocs.io) reports 73k GitHub stars, 8.9k forks, and 1.1k open issues, last pushed Jul 10, 2026. [vlms-zero-to-hero](https://www.youtube.com/@SkalskiP) has 1.2k stars, 103 forks, and 1 open issues, last pushed Jan 23, 2025. Figures are from public GitHub metadata via [LlamaFactory's repository](https://github.com/hiyouga/LlamaFactory) and [vlms-zero-to-hero's repository](https://github.com/SkalskiP/vlms-zero-to-hero).

| | [LlamaFactory](/tools/hiyouga-llamafactory.md) | [vlms-zero-to-hero](/tools/skalskip-vlms-zero-to-hero.md) |
| --- | --- | --- |
| Tagline | Unified Efficient Fine-Tuning of 100+ LLMs & VLMs | Journey from NLP fundamentals to Vision-Language Models |
| Stars | 73,157 | 1,181 |
| Forks | 8,937 | 103 |
| Open issues | 1,067 | 1 |
| Language | Python | Jupyter Notebook |
| Adopt for | 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. | A comprehensive guide for those seeking a deep understanding of NLP and CV leading to advanced Vision-Language models. |
| Persona | - | - |
| Runtime | - | - |
| License | Apache-2.0 | The 'vlms-zero-to-hero' repository is licensed under Apache-2.0 which allows for free use, modification and distribution. |
| Categories | LLM Frameworks, Model Training | Computer Vision, Model Training |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [LlamaFactory](/tools/hiyouga-llamafactory.md) | [vlms-zero-to-hero](/tools/skalskip-vlms-zero-to-hero.md) |
| --- | --- | --- |
| Maintenance | Very active (96%) | Dormant (18%) |
| Days since push | 0d | 534d |
| Open issues (now) | 1.1k | 1 |
| Full report | [trust report](/tools/hiyouga-llamafactory/trust.md) | [trust report](/tools/skalskip-vlms-zero-to-hero/trust.md) |

## Decision facts: LlamaFactory

- **Adopt for:** 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.

## Decision facts: vlms-zero-to-hero

- **Pricing:** freemium - Free to use with no hidden costs due to its open-source nature.
- **Requirements:** Requires a basic understanding of Python. Access to Jupyter Notebook is necessary.
- **Adopt for:** A comprehensive guide for those seeking a deep understanding of NLP and CV leading to advanced Vision-Language models.
- **License detail:** The 'vlms-zero-to-hero' repository is licensed under Apache-2.0 which allows for free use, modification and distribution.

## Choose when

### Choose LlamaFactory if…

- LlamaFactory is primarily Python; vlms-zero-to-hero is Jupyter Notebook.
- Tags unique to LlamaFactory: agent, ai, deepseek, fine-tuning.
- Also covers LLM Frameworks.
- When you need to fine-tune over 100 different LLMs or VLMs with efficient methods like LoRA or QLoRA.

### Choose vlms-zero-to-hero if…

- vlms-zero-to-hero is primarily Jupyter Notebook; LlamaFactory is Python.
- Pricing: Free to use with no hidden costs due to its open-source nature..
- Requirements: Requires a basic understanding of Python. Access to Jupyter Notebook is necessary..
- Tags unique to vlms-zero-to-hero: bert-model, clip, computer-vision, embeddings.
- Also covers Computer Vision.
- Use 'vlms-zero-to-hero' when you want an in-depth, step-by-step introduction that ranges from foundational NLP and CV concepts up to advanced Vision-Language models.

## 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

## When NOT to use vlms-zero-to-hero

- Avoid 'vlms-zero-to-hero' if you have an advanced background in both NLP and Vision-Language Models and are looking for immediate hands-on experience rather than theoretical depth.
- Do not use this tool if you require a quick solution or implementation of vision-language models, as it emphasizes comprehensive learning and conceptual understanding.

## 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: Journey from NLP fundamentals to 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: agent, ai, deepseek, fine-tuning; Also covers LLM Frameworks; 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; Pricing: Free to use with no hidden costs due to its open-source nature.; Requirements: Requires a basic understanding of Python. Access to Jupyter Notebook is necessary.; Tags unique to vlms-zero-to-hero: bert-model, clip, computer-vision, embeddings; Also covers Computer Vision; Use 'vlms-zero-to-hero' when you want an in-depth, step-by-step introduction that ranges from foundational NLP and CV concepts up to advanced Vision-Language models.

### 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?

Avoid 'vlms-zero-to-hero' if you have an advanced background in both NLP and Vision-Language Models and are looking for immediate hands-on experience rather than theoretical depth. Do not use this tool if you require a quick solution or implementation of vision-language models, as it emphasizes comprehensive learning and conceptual understanding.

### 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](/tools/hiyouga-llamafactory/alternatives) and [vlms-zero-to-hero alternatives](/tools/skalskip-vlms-zero-to-hero/alternatives) ([LlamaFactory markdown twin](/tools/hiyouga-llamafactory/alternatives.md), [vlms-zero-to-hero markdown twin](/tools/skalskip-vlms-zero-to-hero/alternatives.md)), 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](/compare/hiyouga-llamafactory-vs-skalskip-vlms-zero-to-hero.md) 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](/tools/hiyouga-llamafactory/trust); [vlms-zero-to-hero trust report](/tools/skalskip-vlms-zero-to-hero/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=hiyouga-llamafactory`](/api/graphcanon/graph?tool=hiyouga-llamafactory)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_