Build Your Own
AI Language Model
Train AI models from scratch. Join the distributed training network. Contribute GPU power to build something amazing together.
Features
Multiple Sizes
Train 1M, 2.7M, 10M, 25M, or 50M parameter models. Pick what fits your device.
Live Dashboard
Watch training in real-time. See loss curves, speed, and generated samples.
Chat Interface
Talk to your trained model with a web UI. Includes text-to-speech.
Distributed Training
Join the Hive network. Train across multiple machines and GPUs.
GPU Accelerated
Native CUDA support for NVIDIA GPUs. Also works on Apple Silicon.
Learn AI
Understand transformers by building one from scratch. Full source code.
Run Anywhere
Works on GPU, CPU, low-VRAM devices, Colab, and even Android via Termux.
Model Sizes
How Distributed Training Works
Train Locally
Each peer trains the model on their own GPU/CPU
Share Gradients
Send learning updates to the coordinator
Average & Sync
Coordinator combines gradients from all peers
Everyone Improves
Updated model is broadcast back to all peers
🚀 More peers = faster training! Each GPU adds compute power. An RTX 4090 + Colab T4 together train ~10% faster than alone.
🐝 Join the Hive
Contribute your GPU power to distributed AI training
