Applied Research & Model Science
Cognitive Stabilization Models & Local Benchmarks
NeuNuc AI advances applied research in local vector embeddings, cognitive load reduction, and zero-telemetry neural execution on consumer hardware.
Model Weights
Llama-3.2-1B Instruct Q4_K_M
Quantized local weights optimized for Vulkan iGPU execution, sub-second TTFT, and zero cloud API dependencies.
1.2 GB
VRAM Footprint
>65 t/s
Inference Speed
ONNX Embeddings
MiniLM-L6 384-Dim Vector Engine
Ultra-lightweight local embedding server for semantic search, memory retrieval, and automatic document indexing.
<50ms
Query Latency
384
Dimensions
Research Paper
Cognitive Burden Reduction
Empirical framework for structuring workflow environments to reduce working memory decay and decision fatigue in complex systems.
100%
Local Privacy
0
External Telemetry