Verified: 70B on 1 GPU, 13B for FREE
Why AXIOM?
Train 70B models on a single GPU. Train 13B models completely FREE. 15-17x memory compression. No quality loss.
ENTERPRISE
Llama-2 70B
Standard840 GB (11 GPUs)
AXIOM53 GB (1 GPU)
Compression15.7x
FREE
Llama-2 13B
Standard156 GB ($1,500+)
AXIOM9 GB (FREE Kaggle)
Compression17.3x
The Problem
12 bytes
Per parameter (FP16 + AdamW)
Weights + Optimizer + Gradients
840 GB
To train 70B model
Needs 11 H100 GPUs
$$$
Millions in compute
Only Big Tech can afford
The AXIOM Solution
| Component | Standard | AXIOM | Savings |
|---|---|---|---|
| Weights | 2 B/param | 0.75 B/param | 2.7x |
| Optimizer (m+v) | 8 B/param | 0 B/param | ∞ |
| Gradients | 2 B/param | 0.13 B/param | 15x |
| Total | 12 B/param | 0.88 B/param | 13.6x |
AXIOM eliminates optimizer state entirely and compresses gradients 15x.
3 Lines of Code
pip install quarterbit
from quarterbit import axiom
model = axiom(model) # 15-17x compression
# optimizer.step() for normalization layers
Drop-in replacement. Works with any PyTorch model.
What You Can Train
| Hardware | Standard | With AXIOM |
|---|---|---|
| Gaming Laptop (8GB) | 0.6B | 9B |
| Gaming Desktop (24GB) | 1.8B | 26B |
| Cloud A100 (80GB) | 6B | 88B |
| Blackwell (102GB) | 7.6B | 112B |
Who Benefits
Students
Train 13B models for free on Kaggle. PhD research without compute grants.
Startups
Train 70B on single GPU. Compete with Big Tech on startup budgets.
Emerging Markets
No datacenter needed. Train local language models anywhere.
Enterprise
Train on-premise. Data never leaves your infrastructure.
Environmental Impact
91%
Energy Saved
Per training run
222 TWh
Annual Savings
If widely adopted by 2030
89M
Tonnes CO2
Emissions prevented
Without AXIOM
- 70B training needs 11 GPUs ($200K+)
- 13B training costs $1,500+ in cloud
- Students can't train real LLMs
- Only Big Tech can compete
With AXIOM
- 70B on single GPU (1 Blackwell)
- 13B completely FREE (Kaggle T4)
- Anyone can train frontier models
- AI democratized globally
Ready to Train Bigger?
15-17x memory compression. 91% energy savings. 3 lines of code.