See Inside the
Black Box.
The first interactive 3D studio for LLM fine-tuning. Visually explore architectures, calculate exact VRAM requirements, and generate training recipes in seconds.
Master Parameter Efficiency
Stop guessing how adapters work. Visualize the exact tensor operations and memory footprints before you spin up a GPU.
3D Explorer
Dive into the transformer core. See how LoRA, Prefix vectors, and Adapters interact with base model weights in 3D.
Training Simulator
Test your hyper-parameters. Simulate loss convergence and stability before spending a dime on cloud compute.
Quantization Lab
Visualize bit-depth reduction. See exactly how 4-bit and 8-bit compression impacts the model's weight resolution.
DevOps Export
One-click deployment. Download full bundles including train.py, Dockerfile, and YAML recipes for any config.
Visualizing LoRA Injection
Low-Rank Adaptation freezes the pretrained model weights and injects trainable rank decomposition matrices into each layer of the Transformer architecture, greatly reducing the number of trainable parameters for downstream tasks.
Open Full Explorer →Stop Guessing. Start Visualizing.
Join the platform built to demystify LLM fine-tuning architectures and hardware constraints.