ASTERIAS is a research project by NULLXES, focused on building deterministic language models for real-world enterprise execution. This release is an early iteration — the project is actively scaling toward a 70B parameter model as its next training milestone.

The model is designed around four core principles:

Principle	Description
🎯 Strict output control	Responses follow predefined structure with no deviation
🔇 Minimal noise	No filler, no apologies, no meta-commentary
🧩 Structured reasoning	Outputs are machine-parseable by default
🔁 Predictable behavior	Same input → same output, reliably

⚙️ Operating Rules

ASTERIAS operates under strict generation constraints:

❌ No explanations
❌ No extra text
❌ No repetition
✅ Structured, deterministic output only

🧠 Behavior

Simple Queries

Returns direct, minimal answers.

Complex Queries

Returns strictly structured output suitable for downstream automation, agent pipelines, and digital-employee workflows.

🔬 Research Status

This is a research project. ASTERIAS is being developed as a stepping stone toward a 70B-parameter deterministic execution model. The current checkpoint is intended for evaluation, benchmarking, and integration testing in enterprise agent environments.

📫 Contact

NULLXES 📧 ceo@nullxes.com

📄 License

Released under the Apache 2.0 license.

MagistrTheOne/asterias-v73

🜂 ASTERIAS

📌 Overview