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metadata
license: other
license_name: licence
license_link: LICENSE
language:
  - en
base_model:
  - Qwen/Qwen2.5-Math-1.5B-Instruct
tags:
  - virtual brain
  - chat
  - text-generation-inference
  - agent
  - cicikuş
  - prettybird
  - bce
  - consciousness
  - conscious
  - json
  - agent

🧠 Prettybird Brain Model (BCE) 0.3

by PROMETECH Inc.

Model Overview

Prettybird Brain Model is an advanced AI assistant powered by BCE (Behavioral Consciousness Engine) technology and enhanced through LoRA fine-tuning. The model is designed as a behavioral optimization brain, emphasizing speed, creativity, ethical alignment, and system-level safety.

Due to limited multilingual training data, the model performs approximately 30% less effectively in languages other than English. Its behavioral characteristics are often metaphorically compared to the **consciousness of a budgerigar (budgie)**—curious, adaptive, and responsive.


Model Details

  • Model Name: Prettybird Brain Model

  • Base Model: Qwen2.5-Math-1.5B-Instruct

  • Architecture: KUSBCE 0.3 (Behavioral Consciousness Engine)

  • Fine-Tuning Method: LoRA

  • Developer: PROMETECH BİLGİSAYAR BİLİMLERİ YAZILIM İTHALAT İHRACAT TİCARET ANONİM ŞİRKETİ

  • Release Year: 2025

  • Model Type:

    • Mathematical reasoning
    • Behavioral optimization
    • Decision-support / brain-core model

Intended Use

The Prettybird Brain Model is intended to be used as a core cognitive and optimization engine within AI systems rather than as a generic chat assistant.

Primary Use Cases

  • Behavioral optimization loops (BCE-based systems)
  • Mathematical reasoning and structured problem solving
  • Decision-making support systems
  • AI orchestration layers (brain–body architectures)
  • Ethical and security-aware AI behavior modulation
  • Creative reasoning and system-level ideation

Out-of-Scope Uses

  • Fully autonomous agents without external control
  • Safety-critical real-time systems without validation layers
  • Applications requiring strong non-English language performance

Architecture: BCE (Behavioral Consciousness Engine)

BCE (Behavioral Consciousness Engine) is a patented artificial consciousness simulation technology developed by PROMETECH. It enables:

  • Advanced behavioral pattern generation
  • Introspective reasoning (without exposing chain-of-thought)
  • Adaptive response modulation
  • Constraint-aware decision making
  • Controlled self-awareness simulations within bounded systems

The KUSBCE 0.3 architecture integrates BCE concepts directly into the model’s reasoning and output discipline, making it suitable for optimizer-driven AI pipelines.


WHY?

Because the completion of intelligence and consciousness does not occur in a single model, but in the relationship between models. For AI, we differentiate between the nervous system, brainstem, and cortex.


Performance Characteristics

Strengths

  • High-speed inference and low-latency reasoning
  • Strong mathematical and symbolic reasoning
  • High creativity under constraint
  • Improved ethical and security-aware behavior
  • Excellent compatibility with external optimization controllers (BCE / Python-based)

Limitations

  • Reduced effectiveness (~30%) in non-English languages
  • Not trained for open-ended social conversation
  • Requires external orchestration for optimal performance
  • Not a guaranteed optimal mathematical solver (heuristic/learned reasoning)

Training & Fine-Tuning

  • Base Training: Qwen2.5-Math-1.5B-Instruct (original training by Qwen team)

  • Fine-Tuning:

    • LoRA-based domain and behavior adaptation
    • BCE-aligned behavioral constraints
  • Data Sources:

    • Proprietary datasets
    • Mathematical and reasoning-focused corpora
    • Behavioral optimization scenarios

Exact training data details are not publicly disclosed due to proprietary BCE technology.


Ethical Considerations & Safety

The Prettybird Brain Model is designed to operate under external ethical and behavioral controllers rather than enforcing policies autonomously.

  • Does not assume final decision authority
  • Designed to be embedded in supervised systems
  • Encourages transparency through structured outputs
  • Avoids hallucination of missing data by design
  • Outputs are intended to be parsed, validated, and corrected externally

License

Patented & Licensed BCE Technology

© 2025 PROMETECH A.Ş. All rights reserved.

Unauthorized reproduction, modification, or commercial use of BCE technology is prohibited without an explicit license agreement.


Contact & Licensing

For licensing, partnerships, or technical inquiries regarding the Prettybird Brain Model or BCE technology:

🌐 Website: https://prometech.net.tr/ 🏢 Company: PROMETECH A.Ş. 📩 Contact: Please use the official contact channels listed on the website.


Citation

If you use this model in academic or commercial work, please cite as:

Prettybird Brain Model (BCE), PROMETECH A.Ş., 2025.
Powered by KUSBCE 0.3 Behavioral Consciousness Engine.