明度
BRIGHT
ORDL

Models

Neural-Linguistic Domain Architecture systems

NLDA MK-II BASE MESH

NLDA-MK-II Memory

active

Native embedded memory model with weights and tensors for persistent context recall. Training ongoing.

Version: 2.1.1-memory Parameters: 32M Architecture: Memory Transformer (C23)

Capabilities

  • Native embedded memories, context persistence, vector recall, tensor-weighted retrieval

NLDA-MK-II Tool

active

Native embedded tool model with weights and tensors for tool invocation and execution. Training ongoing.

Version: 2.1.1-tool Parameters: 48M Architecture: Tool Transformer (C23)

Capabilities

  • Native embedded tools, tool routing, tensor-based tool selection, auto-invocation

NLDA-MK-II Base

active

Deterministic transformer-based inference engine with zero external dependencies. Training and evaluation ongoing.

Version: 2.1.1 Parameters: 64M Architecture: Transformer (C23)

Capabilities

  • Text generation, classification, embedding, deterministic inference, cryptographic output verification

NLDA-MK-II Quantized

active

Q8_0 quantized variant for edge deployment. Active training and testing in progress.

Version: 2.1.1-q8 Parameters: 64M Architecture: Transformer Q8_0

Capabilities

  • Low-latency inference, mobile deployment, SIMD-optimized matrix ops

NLDA-MK-II Mesh

active

Multi-node consensus model for distributed inference. Beta testing underway.

Version: 2.1.1-mesh Parameters: 256M Architecture: Mesh Transformer

Capabilities

  • Distributed inference, Byzantine consensus, multi-node synchronization