---
license: apache-2.0
base_model: Qwen/Qwen2
language:
  - en
  - ru
library_name: transformers
pipeline_tag: text-generation
tags:
  - llm
  - causal-lm
  - enterprise-ai
  - deterministic
  - structured-output
  - digital-employee
  - nullxes
  - asterias
  - research
model-index:
  - name: ASTERIAS
    results: []
---

# 🜂 ASTERIAS

**NULLXES Digital Execution Model**

> A deterministic, execution-oriented language model engineered for enterprise workflows and AI digital employees.

---

## 📌 Overview

**ASTERIAS** is a research project by [NULLXES](mailto:ceo@nullxes.com), 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](mailto:ceo@nullxes.com)

---

## 📄 License

Released under the **Apache 2.0** license.