quarterbit 50.3.0

QuarterBit - Train AI models and earn $AXM on the AXIOM network. The first verifiable distributed AI training.

QuarterBit — Distributed AI Training on AXIOM

The world's first mathematically verifiable distributed AI training network.

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For Trainers — Earn $AXM With Your Hardware

Why Train Now?

AXIOM is in launch phase. Early trainers have a unique opportunity:

• Early $AXM acquisition — Earn tokens before exchange listings
• Growing network — Less competition, more tasks per trainer
• Multiplier bonuses — Consistent trainers earn up to 10x rewards
• First-mover advantage — Build reputation and multipliers now

Any Hardware Works

With Pipeline Parallelism, you only load your assigned layers, not the full model:

Model	Full Size	Your Share (8 trainers)	Min GPU
GPT-2	2 GB	250 MB	Any
LLaMA-7B	14 GB	1.7 GB	4 GB
LLaMA-70B	140 GB	17 GB	24 GB
405B+	800+ GB	100 GB	2x A100

Even a laptop GPU can train 70B models and earn $AXM.

Get Started in 3 Commands

pip install quarterbit[full]

quarterbit init        # Create wallet
quarterbit register    # Auto-detect hardware
quarterbit start       # Start earning

Daemon Mode — Set and Forget

quarterbit daemon start    # Runs 24/7, auto-restarts
quarterbit stats --watch   # Watch earnings live

The daemon:

• Auto-selects highest-paying tasks for your hardware
• Restarts on crashes
• Claims rewards automatically
• Logs to ~/.quarterbit/logs/

Reward Multipliers

Consistency	Multiplier	Earnings
New	1.0x	Base rate
50%	1.3x	+30%
80%	1.8x	+80%
95%+	2.5x+	+150%

Reliable trainers earn significantly more per batch.

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For AI Teams — Train Models Without Infrastructure

Why Use AXIOM?

Benefit	Details
80%+ Cost Savings	No GPU clusters, no cloud bills, pay only for compute used
You Own Everything	Your model, your data, your weights — we never store them
Trustless Verification	Mathematical proof of correct training, not trust
Same Quality	Identical results to centralized training
No Infrastructure	No DevOps, no cluster management, no maintenance

Security & Privacy

Your data stays yours:

• End-to-end encryption — Gradients encrypted with your keys (ECIES)
• No data storage — Training data never touches our servers
• P2P architecture — Trainers download from your source, not us
• Auto-deletion — Temporary data deleted within 1 hour

Verification you can trust:

• VLA exact arithmetic — Zero floating-point error accumulation
• On-chain proofs — Every gradient cryptographically verified
• Stake slashing — Cheating trainers lose their stake
• Deterministic results — Same output on any hardware

How It Works

1. You submit a task with model + dataset + reward
2. Your data stays on YOUR servers (S3, IPFS, HuggingFace)
3. Trainers download only their assigned batches
4. Gradients encrypted and verified with VLA
5. You receive trained model — ownership never transfers

Cost Comparison

Approach	LLaMA-7B Training	LLaMA-70B Training
AWS/GCP	$50,000+	$500,000+
Own cluster	$200,000+ hardware	$2M+ hardware
AXIOM	Pay per batch	Pay per batch

Quick Start

from quarterbit import AxiomTaskSubmitter

submitter = AxiomTaskSubmitter(
    rpc_url="https://rpc.quarterbit.dev",
    private_key="0x..."
)

# Create task — your data stays on your servers
task = await submitter.create_task(
    model=my_model,
    dataset="s3://my-bucket/data",  # YOUR storage
    reward_per_batch=10,
    total_batches=1000
)

# Monitor training
async for progress in submitter.train_loop(task.task_id):
    print(f"Loss: {progress['loss']:.4f}")

# Get your trained model
trained_model = submitter.get_model()

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Installation

# Basic
pip install quarterbit

# With GPU + CLI (recommended)
pip install quarterbit[full]

System Requirements

• Python: 3.12+
• OS: Windows, Linux, or WSL
• GPU: Optional (CUDA 12.x for acceleration)

CLI Reference

# Wallet
quarterbit init              # Create wallet
quarterbit balance           # Check $AXM balance

# Training
quarterbit register          # Register hardware
quarterbit start             # Start training
quarterbit start --daemon    # Background daemon
quarterbit stop              # Stop gracefully

# Earnings
quarterbit stats             # Your statistics
quarterbit claim             # Claim rewards
quarterbit momentum          # View multiplier

# Daemon
quarterbit daemon start      # Start background
quarterbit daemon status     # Check status
quarterbit daemon logs       # View logs

Links

• Website: https://quarterbit.dev
• Documentation: https://quarterbit.dev/docs

License

MIT — Clouthier Simulation Labs 2026

Free to use. Decentralized architecture — anyone can run nodes.