// slm360-lensnano
SLM360 LensNano
Released869KB of AI That Replaces Your Cloud
A complete on-device voice + vision AI engine designed for smart glasses. Handles NLU, voice command classification, entity extraction, and OCR. 1.67M parameters in 869KB, sub-10ms inference on CPU, 100% offline. Built on the 360 Engine in pure Rust with zero garbage collection.
Specifications
1.67M
Parameters
869KB
Model Size (INT4)
<10ms
Latency
192
Embedding Dim
4
Layers
6
GQA Heads
2K
Vocabulary (BPE)
55MB
Pipeline Footprint
100%
Accuracy
15
Voice Intents
99
Languages (STT)
$0
Cost per Query
Architecture
1 Stage 1 (Always On, 17MB, ~5mW): Microphone > 360 VAD (2MB) > 360 Wake (15MB)2 Stage 2 (On Demand, 43MB): 360 STT (42MB) > SLM360 NLU (869KB) > Action3 NLU: 192-dim, 4 layers, 6 GQA heads, SwiGLU + RoPE + RMSNorm4 Vision: 360 OCR for reading signs, menus, prescriptions, labels5 Framework: 360 Engine (Rust, zero GC), GPU training via 360 Tensor (Metal/CUDA)
Features
- 15 voice intents: navigate, call, message, capture, music, fitness, weather, alarms, shopping, translate, notifications, focus mode, identify, read text, assistant
- Entity extraction for contacts, locations, times, durations, languages, frame types
- 360 OCR Vision: on-device neural OCR for real-world text recognition
- Hindi + English with native Hinglish code-mixing support
- 99 languages supported via STT engine
- 100% on-device. Zero data leaves the glasses. Works offline and in airplane mode
- OEM-ready with configurable wake word per brand
- Rust SDK, ARM-native, ONNX export for ARM, x86, WASM, RISC-V
Deployment Targets
- >ARM-native for smart glasses hardware
- >ONNX export for ARM, x86, WASM, RISC-V
- >OEM SDK integration with configurable wake words