Fine-tune with LoRA Technology

Customize your language models efficiently with Low-Rank Adaptation. Select your model, dataset, and parameters to start training.

LoRA Architecture

Low-Rank Adaptation for Efficient Fine-tuning

Training Studio

Configure Your Training

Select your model, dataset, and training parameters to begin fine-tuning.

Model Selection

LLaMA 3.2 14B

14 billion parameters

Mistral 7B

7 billion parameters

Gemma 2B

2 billion parameters

Dataset

Alpaca

52K instruction-following samples

Dolly

15K instruction-following samples

Custom Dataset

Upload your own data

Parameters

0.0001 0.001 0.01
1 3 20

Training Progress

Monitor Your Training

Training Progress

Epoch 2 of 3 67%

Loss

0.42

Learning Rate

0.001

Training Metrics

Resource Usage

GPU Utilization

87%

VRAM Usage

12.4/16 GB

Elapsed Time

24m 32s