QuarterBit - Train AI models and earn $AXM. 12x memory savings with VLA.
Project description
QuarterBit
Train AI models and earn $AXM tokens on the AXIOM network.
Installation
pip install quarterbit
# With GPU + CLI
pip install quarterbit[full]
Quick Start
from quarterbit import AxiomTrainer, make_vla_model
# Connect to AXIOM network
trainer = AxiomTrainer(rpc_url="http://localhost:9545")
trainer.register(memory_gb=24, has_gpu=True)
# VLA training (12x memory savings)
model = make_vla_model(model)
# Train and earn $AXM
tasks = trainer.get_compatible_tasks()
trainer.train_task(tasks[0])
CLI
quarterbit init # Create wallet
quarterbit register # Register hardware
quarterbit start # Start training
quarterbit stats # View earnings
Features
- 12x Memory Savings - Train 70B models on consumer GPUs
- Pipeline Parallelism - Split models across devices
- Earn $AXM - Get paid for GPU/CPU time
Links
License
Proprietary - Clouthier Simulation Labs 2026
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