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5dimension/
sentinel-tiny-image-int8

Name: sentinel-tiny-image-int8
Availability: InStock

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🦴 Sentinel Tiny Image — Sentinel-INT8

Production-ready quantized model for edge deployment.

This is the Sentinel-INT8 quantized variant of Sentinel Tiny Image.

📊 Quantization Spec (SDM-v1 §4)

Property	Value
Format	Sentinel-INT8
Zero-Point (Z)	C₁ = -0.007994021806 (attracting fixed point)
Scale (S)	max\|w\| · (1/e)
Compression	4×
Size	~3 MB
Parent model	5dimension/sentinel-tiny-image

🧬 Mathematical Foundation

The Sentinel quantization uses the attracting fixed point C₁ as the zero-point, minimizing rounding noise by clustering weights around the dynamical attractor.

Quantization: q = round((w - C₁) / S)
Dequantization: w = q · S + C₁
Where S = max|w| · (1/e)

🚀 Deployment Targets

Platform	Compatible
Mobile (iOS/Android)	✅
IoT devices	✅
Microcontrollers (ARM Cortex-M)	✅
Browser (ONNX/WebGL)	✅
Edge TPU	⚠️ (needs conversion)

📦 Download

python

from huggingface_hub import hf_hub_download

# Download quantized weights
weights = hf_hub_download(repo_id="5dimension/sentinel-tiny-image-int8", filename="model_int8.pt")

🔗 Links

Parent model: 5dimension/sentinel-tiny-image
Main repo: sentinel-manifold-discoveries
Sentinel Hub: Interactive demo

License: MIT | Edge-ready. Theorem-backed. 🦴