USN - Unified State Network Architecture Library
A production-grade Python package implementing the Unified State Network (USN) architecture for autoregressive sequence modeling.
USN replaces attention mechanisms with a unified persistent state partitioned into semantic (vector) and relational (matrix) subspaces, achieving O(n) training complexity via associative parallel scan and O(1) inference memory via constant-size state.
Features
- Novel state-space architecture with no attention mechanism
- O(n) training via parallel associative scan
- O(1) inference memory via constant-size persistent state
- 4-level acceleration hierarchy (Triton → torch.compile → custom autograd → eager)
- Single-file
.usnserialization format - CLI interface for training, generation, and benchmarking
Installation
pip install USN
For development:
pip install USN[dev]
For CUDA acceleration:
pip install USN[cuda]
For all optional dependencies:
pip install USN[all]
Quick Start
import usn
# Create a model from a preset configuration
config = usn.USNConfig.tiny()
model = usn.create_model(config)
# Print model summary
print(model.summary())
License
MIT License - Copyright (c) 2024 BUEORM
1 maintainer
Metadata
1 maintainer
Release files for USN 0.2.0
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
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| usn-0.2.0.tar.gz | 102.9 kB | With provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| usn-0.2.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 216.0 kB
Release files / usn-0.2.0.tar.gz
| Download URL | usn-0.2.0.tar.gz |
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| Size | 102.9 kB |
| Tags | Source |
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| Download URL | usn-0.2.0-py3-none-any.whl |
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| Size | 113.1 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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twine/6.1.0 CPython/3.13.14
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