| --- |
| 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 |
| pipeline_tag: text-generation |
| library_name: transformers |
| --- |
| |
|  |
|
|
| # 🧠 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. In artificial intelligence and simulated partial consciousness, the first step to serious safety and efficiency is testing. |
| In short, it functions like the posterior frontal lobe and the subconscious.** |
|
|
| --- |
|
|
| ## 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. |
|
|
| --- |
|
|
| ## 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, commercial work or technical inquiries** regarding the Prettybird Brain Model or BCE technology: |
|
|
| 🌐 **Website:** [https://prometech.net.tr/](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. |
| ``` |
