Comparison
LlamaFactory vs ludwig
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 ludwig if ludwig is a low-code framework that simplifies the process of training deep learning models including custom LLMs and neural networks using Python.
Markdown twin · LlamaFactory alternatives · ludwig alternatives
GraphCanon updated today
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Trust & integrity
| Signal | LlamaFactory | ludwig |
|---|---|---|
| Maintenance | Very active (0d since push) As of today · github_public_v1 | Active (7d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Personal account As of today · github_public_v1 | Not a fork · Organization 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
- ludwig
- Low-code framework for building custom LLMs, neural networks, and other AI models
Stars
- LlamaFactory
- 73k
- ludwig
- 12k
Forks
- LlamaFactory
- 8.9k
- ludwig
- 1.2k
Open issues
- LlamaFactory
- 1.1k
- ludwig
- 1
Language
- LlamaFactory
- Python
- ludwig
- Python
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.
- ludwig
- Ludwig is a low-code framework that simplifies the process of training deep learning models including custom LLMs and neural networks using Python.
Persona
- LlamaFactory
- -
- ludwig
- -
Runtime
- LlamaFactory
- -
- ludwig
- -
License
- LlamaFactory
- Apache-2.0
- ludwig
- Apache-2.0: Permissive open-source license allowing free use in both community and commercial projects.
Last pushed
- LlamaFactory
- Jul 10, 2026
- ludwig
- Jul 4, 2026
Categories
- LlamaFactory
- Model Training, LLM Frameworks
- ludwig
- LLM Frameworks, Model Training, Computer Vision
Trust and health
Maintenance
- LlamaFactory
- Very active (96%)
- ludwig
- Active (82%)
Days since push
- LlamaFactory
- 0d
- ludwig
- 7d
Open issues (now)
- LlamaFactory
- 1.1k
- ludwig
- 1
Owner type
- LlamaFactory
- User
- ludwig
- Organization
Full report
- LlamaFactory
- Trust report
- ludwig
- Trust report
Choose LlamaFactory if…
- Tags unique to LlamaFactory: gemma, deepseek, ai, instruction-tuning.
- When you need to fine-tune over 100 different LLMs or VLMs with efficient methods like LoRA or QLoRA.
- More GitHub stars (73k vs 12k) - 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
Choose ludwig if…
- Requirements: Min 4 GB RAM; Requires Python and is compatible with popular deep learning libraries like PyTorch..
- Tags unique to ludwig: data-science, deep, deep-learning, learning.
- Also covers Computer Vision.
- When you need to build custom language models (LLMs) or other AI models with minimal configuration in Python.
When NOT to use ludwig
- If you require direct access and extensive customization of the model architecture, as Ludwig abstracts some of these details away under its low-code interface.
- When your team prefers a high-level of control over all aspects of the training process, including architectural decisions; Ludwig streamlines this process which may limit flexible adjustments.
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 (ludwig-ai/ludwig) · observed Jul 11, 2026
- GitHub forks (ludwig-ai/ludwig) · observed Jul 11, 2026
- Last push (ludwig-ai/ludwig) · observed Jul 4, 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: LlamaFactory 73k · ludwig 12k (synced Jul 11, 2026).
Common questions
- What is the difference between LlamaFactory and ludwig?
- LlamaFactory: Unified Efficient Fine-Tuning of 100+ LLMs & VLMs. ludwig: Low-code framework for building custom LLMs, neural networks, and other AI models. See the comparison table for live GitHub stats and shared categories.
- When should I choose LlamaFactory over ludwig?
- Choose LlamaFactory over ludwig when Tags unique to LlamaFactory: gemma, deepseek, ai, instruction-tuning; When you need to fine-tune over 100 different LLMs or VLMs with efficient methods like LoRA or QLoRA; More GitHub stars (73k vs 12k) - visibility, not fit.
- When should I choose ludwig over LlamaFactory?
- Choose ludwig over LlamaFactory when Requirements: Min 4 GB RAM; Requires Python and is compatible with popular deep learning libraries like PyTorch.; Tags unique to ludwig: data-science, deep, deep-learning, learning; Also covers Computer Vision; When you need to build custom language models (LLMs) or other AI models with minimal configuration in Python.
- 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 ludwig?
- If you require direct access and extensive customization of the model architecture, as Ludwig abstracts some of these details away under its low-code interface. When your team prefers a high-level of control over all aspects of the training process, including architectural decisions; Ludwig streamlines this process which may limit flexible adjustments.
- Is LlamaFactory or ludwig more popular on GitHub?
- LlamaFactory has more GitHub stars (73,157 vs 11,734). Stars measure visibility, not whether either tool fits your constraints.
- Are LlamaFactory and ludwig open source?
- Yes - both are open-source projects on GitHub (LlamaFactory: Apache-2.0, ludwig: Apache-2.0).
- Where can I find alternatives to LlamaFactory or ludwig?
- GraphCanon lists graph-backed alternatives at LlamaFactory alternatives and ludwig alternatives (LlamaFactory markdown twin, ludwig 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 ludwig?
- LlamaFactory: Very active. ludwig: 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 ludwig?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: LlamaFactory trust report; ludwig trust report.