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Lora (Low-Rank Adaptation)
Parameter-efficient fine-tuning technique that adapts large models with minimal trainable parameters.
Open SourceSelf HostedOffline CapableGPU Required (4GB+ VRAM)
0.0 (0)
About
LoRA (Low-Rank Adaptation) by Microsoft Research enables fine-tuning large language models by injecting trainable rank decomposition matrices into existing weights. Reduces trainable parameters by 10,000x while maintaining quality. MIT license.
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Details
- Category
- Model Training & Fine-Tuning
- Price
- Free
- Platform
- Local/Desktop
- Difficulty
- Intermediate (3/5)
- License
- MIT
- Minimum VRAM
- 4 GB
- Added
- Apr 3, 2026
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