LlamaFactory
A toolkit for fine-tuning language and vision-language models with full training, LoRA and quantized methods through a web interface or command line.
About LlamaFactory
Developers need a repeatable way to prepare datasets, choose training methods and adapt models without assembling each training pipeline themselves.
Who it’s for
- Developers adapting language and vision-language models
- Researchers configuring fine-tuning runs through a web interface or CLI
When to consider it
Consider LlamaFactory when you want configurable model fine-tuning with a web interface and reusable training configurations.
Tradeoffs & limitations
- The toolkit requires Python 3.11 or later and a compatible training environment; hardware memory requirements vary by model size and training method.
- The repository is Apache-2.0 licensed, but model weights remain subject to their respective model licenses.
SOTA overview · Documentation-based assessment · Sources & review method
Updates
No updates shared yet.
Discussion
Newest firstAsk a question or share how you use LlamaFactory.
Keep it helpful. Community rules
Loading discussion…
Sources & review method
Documentation-based assessment · Oct 7, 2026 · Prepared with AI assistance; not a hands-on benchmark.
- LlamaFactory features and training requirements
- LlamaFactory Apache 2.0 license
- Official LlamaFactory blog and owner domain
- LlamaFactory September 2026 maintenance
Checked by SOTA · AI-assisted documentation review. Selection advice is our assessment; verify current requirements for your deployment.
Import history & original evidence
LlamaFactory on GitHub
A toolkit for fine-tuning language and vision-language models with full training, LoRA and quantized methods through a web interface or command line.
Based on official pages and announcements checked on 2026-10-07. No hands-on test, performance benchmark or popularity ranking is claimed.