Comparison
cactus vs LlamaFactory
Verdict
Pick cactus if cactus - Low-latency AI engine optimized for mobile and wearable devices; 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.
Markdown twin · cactus alternatives · LlamaFactory alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | cactus | LlamaFactory |
|---|---|---|
| Maintenance | Very active (0d 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
- cactus
- Low-latency AI engine for mobile devices & wearables
- LlamaFactory
- Unified Efficient Fine-Tuning of 100+ LLMs & VLMs
Stars
- cactus
- 5.4k
- LlamaFactory
- 73k
Forks
- cactus
- 437
- LlamaFactory
- 8.9k
Open issues
- cactus
- 73
- LlamaFactory
- 1.1k
Language
- cactus
- C++
- LlamaFactory
- Python
Adopt for
- cactus
- Cactus - Low-latency AI engine optimized for mobile and wearable devices.
- 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
- cactus
- -
- LlamaFactory
- -
Runtime
- cactus
- -
- LlamaFactory
- -
License
- cactus
- Other
- LlamaFactory
- Apache-2.0
Last pushed
- cactus
- Jul 11, 2026
- LlamaFactory
- Jul 10, 2026
Categories
- cactus
- Inference & Serving, Speech & Audio
- LlamaFactory
- Model Training, LLM Frameworks
Trust and health
Open issues (now)
- cactus
- 73
- LlamaFactory
- 1.1k
Owner type
- cactus
- Organization
- LlamaFactory
- User
Full report
- cactus
- Trust report
- LlamaFactory
- Trust report
Choose cactus if…
- cactus is primarily C++; LlamaFactory is Python.
- License: cactus is Other, LlamaFactory is Apache-2.0.
- Tags unique to cactus: android, arm, llamacpp, edge.
- Also covers Inference & Serving, Speech & Audio.
- - When you need fast response times on mobile or wearable devices for tasks like speech recognition and general inference.
When NOT to use cactus
- - In situations that require high-complexity AI applications beyond general inference, such as detailed image segmentation or extensive natural language understanding tasks.
- - When working with desktop or server environments, as Cactus is specifically optimized for mobile and wearable hardware constraints.
Choose LlamaFactory if…
- LlamaFactory is primarily Python; cactus is C++.
- License: LlamaFactory is Apache-2.0, cactus is Other.
- Tags unique to LlamaFactory: gemma, fine-tuning, deepseek, instruction-tuning.
- Also covers Model Training, LLM Frameworks.
- 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
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (cactus-compute/cactus) · observed Jul 11, 2026
- GitHub forks (cactus-compute/cactus) · observed Jul 11, 2026
- Last push (cactus-compute/cactus) · observed Jul 11, 2026
- License file (Other) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 12, 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: cactus 5.4k · LlamaFactory 73k (synced Jul 11, 2026).
Common questions
- What is the difference between cactus and LlamaFactory?
- cactus: Low-latency AI engine for mobile devices & wearables. LlamaFactory: Unified Efficient Fine-Tuning of 100+ LLMs & VLMs. See the comparison table for live GitHub stats and shared categories.
- When should I choose cactus over LlamaFactory?
- Choose cactus over LlamaFactory when cactus is primarily C++; LlamaFactory is Python; License: cactus is Other, LlamaFactory is Apache-2.0; Tags unique to cactus: android, arm, llamacpp, edge; Also covers Inference & Serving, Speech & Audio; - When you need fast response times on mobile or wearable devices for tasks like speech recognition and general inference.
- When should I choose LlamaFactory over cactus?
- Choose LlamaFactory over cactus when LlamaFactory is primarily Python; cactus is C++; License: LlamaFactory is Apache-2.0, cactus is Other; Tags unique to LlamaFactory: gemma, fine-tuning, deepseek, instruction-tuning; Also covers Model Training, LLM Frameworks; When you need to fine-tune over 100 different LLMs or VLMs with efficient methods like LoRA or QLoRA.
- When should I avoid cactus?
- - In situations that require high-complexity AI applications beyond general inference, such as detailed image segmentation or extensive natural language understanding tasks. - When working with desktop or server environments, as Cactus is specifically optimized for mobile and wearable hardware constraints.
- 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 cactus or LlamaFactory more popular on GitHub?
- LlamaFactory has more GitHub stars (73,157 vs 5,401). Stars measure visibility, not whether either tool fits your constraints.
- Are cactus and LlamaFactory open source?
- Yes - both are open-source projects on GitHub (cactus: Other, LlamaFactory: Apache-2.0).
- Where can I find alternatives to cactus or LlamaFactory?
- GraphCanon lists graph-backed alternatives at cactus alternatives and LlamaFactory alternatives (cactus 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, cactus or LlamaFactory?
- cactus: Very active. 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 cactus and LlamaFactory?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: cactus trust report; LlamaFactory trust report.