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Model: MagistrTheOne/asterias-v73 Source: Original Platform
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README.md
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README.md
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---
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license: apache-2.0
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base_model: Qwen/Qwen2
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language:
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- en
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- ru
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library_name: transformers
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pipeline_tag: text-generation
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tags:
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- llm
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- causal-lm
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- enterprise-ai
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- deterministic
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- structured-output
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- digital-employee
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- nullxes
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- asterias
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- research
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model-index:
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- name: ASTERIAS
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results: []
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---
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# 🜂 ASTERIAS
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**NULLXES Digital Execution Model**
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> A deterministic, execution-oriented language model engineered for enterprise workflows and AI digital employees.
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---
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## 📌 Overview
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**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.
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The model is designed around four core principles:
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| Principle | Description |
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|-----------|-------------|
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| 🎯 **Strict output control** | Responses follow predefined structure with no deviation |
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| 🔇 **Minimal noise** | No filler, no apologies, no meta-commentary |
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| 🧩 **Structured reasoning** | Outputs are machine-parseable by default |
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| 🔁 **Predictable behavior** | Same input → same output, reliably |
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---
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## ⚙️ Operating Rules
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ASTERIAS operates under strict generation constraints:
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- ❌ No explanations
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- ❌ No extra text
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- ❌ No repetition
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- ✅ Structured, deterministic output only
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---
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## 🧠 Behavior
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### Simple Queries
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Returns direct, minimal answers.
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### Complex Queries
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Returns strictly structured output suitable for downstream automation, agent pipelines, and digital-employee workflows.
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---
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## 🔬 Research Status
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> **This is a research project.**
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> 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.
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---
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## 📫 Contact
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**NULLXES**
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📧 [ceo@nullxes.com](mailto:ceo@nullxes.com)
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---
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## 📄 License
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Released under the **Apache 2.0** license.
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config.json
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config.json
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{
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"architectures": [
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"Qwen2ForCausalLM"
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],
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"attention_dropout": 0.0,
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"bos_token_id": 151643,
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"dtype": "bfloat16",
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"eos_token_id": 151645,
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"hidden_act": "silu",
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"hidden_size": 3584,
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"layer_types": [
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"full_attention",
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"full_attention",
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}
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model.safetensors
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3
tokenizer.json
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version https://git-lfs.github.com/spec/v1
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tokenizer_config.json
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tokenizer_config.json
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}
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