VERIDIAN Ru MoE Beta

by NULLXES

VERIDIAN is an experimental bilingual (RU/EN) language model developed by NULLXES.

This checkpoint is the first public beta of the VERIDIAN line — a raw but intentional snapshot of the model’s early architecture, identity layer, and bilingual behavior.

VERIDIAN is not designed as a generic chatbot. It is being built as a foundational model for execution-oriented AI systems — including digital employees, assistants, and real-time integrated agents.

🧠 Core Idea

VERIDIAN sits inside the broader NULLXES AI infrastructure stack, where models are expected not just to generate text, but to:

operate inside real systems
interact with tools and workflows
act as components of larger AI-driven architectures

This beta reflects that direction at an early stage.

⚙️ Current Capabilities

Bilingual baseline (Russian / English)
Early identity anchoring
Experimental sparse MoE architecture
Initial behavior shaping toward system integration

🚧 Status

Version: beta-0
Stage: early experimental
Languages: RU / EN
Format: PyTorch → safetensors

⚠️ Known Limitations

Tokenizer splits names, brands, and custom tokens inconsistently
Output quality is unstable across domains
Reasoning depth is limited
Instruction-following is still weak
Not optimized for long-context tasks
Hugging Face integration is minimal (artifact-focused)

📦 Files

veridian_beta_0.safetensors — model weights
veridian_beta_0_config.yaml — original config
config.json — HF-compatible config
tokenizer.json — tokenizer
tokenizer_config.json — tokenizer metadata
special_tokens_map.json — special tokens
generation_config.json — generation defaults

🚀 Intended Use

Research and experimentation
Internal system testing
Prototyping bilingual agents
Custom pipeline integration
Studying early-stage MoE behavior

⛔ Not Recommended For

Production deployment
High-stakes or safety-critical decisions
Reliability-sensitive applications
Benchmark comparisons with mature models
Polished end-user chat experiences

🧩 Positioning

VERIDIAN is part of a shift from:

"models that answer"

to:

"models that operate"

It is being developed as an execution layer inside AI systems — not just an interface.

🏗️ About NULLXES

NULLXES builds next-generation AI infrastructure and digital employees designed to operate in real-world environments.

VERIDIAN is a foundational model initiative within this ecosystem.

🔮 Roadmap (high-level)

Tokenizer stability improvements
Stronger bilingual coherence
Instruction tuning and alignment layers
More consistent identity behavior
Expanded training datasets
Integration into real-time systems (voice / avatar / agents)
Progression toward multimodal capabilities

💬 Release Note

This is not a finished model.

This is a starting checkpoint — raw, imperfect, but directional.

VERIDIAN will evolve alongside the NULLXES ecosystem into a system-level AI component.

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Safetensors

Model size

2B params

Tensor type

F32