--- license: other language: - en base_model: - Qwen/Qwen2.5-1.5B-Instruct - Qwen/Qwen2.5-Math-1.5B-Instruct - Qwen/Qwen2.5-Coder-1.5B-Instruct - Qwen/Qwen2.5-VL-3B-Instruct - pthinc/prettybird_bce_basic_brain_mini pipeline_tag: image-text-to-text tags: - virtual brain - virtual full brain - chat - text-generation-inference - agent - cicikuş - prettybird - bce - consciousness - conscious - json - agent - vl - math - code - partial consciousness simulation --- [![License](https://img.shields.io/badge/License-Proprietary-red.svg)](./licence.md) [![Dataset](https://img.shields.io/badge/Dataset-BCE-green.svg)](https://prometech.net.tr) ![Prettybirds](https://cdn-uploads.huggingface.co/production/uploads/691f2f51154cbf55e19b7475/fh2XhNoW4qTuFBf1Jxsi6.png) # 🧠 Prettybird Brain Model (BCE) v0.3 **by PROMETECH Inc.** ## Model Overview **Prettybird Brain Model (BCE)** is an advanced cognitive core designed for **behavioral optimization, mathematical reasoning, and decision-support systems**. It is powered by **BCE (Behavioral Consciousness Engine)** technology and enhanced through **LoRA fine-tuning**, enabling fast, creative, and ethically aligned reasoning under strict system constraints. Rather than acting as a generic chat assistant, Prettybird is intended to function as a **brain-layer component** within larger AI architectures. Due to limited multilingual training data, performance in non-English languages is approximately **30% lower**. Its behavioral profile is often metaphorically compared to a **budgerigar (budgie)** curious, adaptive, fast-reacting, and constraint-aware. --- ## Model Details * **Model Name:** Prettybird Brain Model * **Base Models:** * Qwen2.5-Math-1.5B-Instruct * Qwen2.5-1.5B-Instruct * Qwen2.5-Coder-1.5B-Instruct * Qwen2.5-VL-3B-Instruct * **Architecture:** KUSBCE 0.3 (Behavioral Consciousness Engine) * **Fine-Tuning Method:** LoRA * **Developer:** PROMETECH A.Ş. * **Release Year:** 2025 * **Model Type:** * Mathematical reasoning * Behavioral optimization * Decision-support / brain-core model --- ## Intended Use Prettybird Brain Model is designed to operate as a **cognitive and optimization engine**, not as a standalone autonomous agent. ### Primary Use Cases * BCE-driven behavioral optimization loops * Mathematical and symbolic reasoning * Decision-making support systems * AI orchestration layers (brain–body architectures) * Ethical and security-aware behavior modulation * Creative reasoning under constraints ### Out-of-Scope Uses * Fully autonomous agents without external supervision * Safety-critical real-time systems without validation layers * Applications requiring high-level multilingual fluency * Social or entertainment-focused chat systems --- ## BCE Architecture (Behavioral Consciousness Engine) **BCE** is a patented artificial consciousness simulation technology developed by PROMETECH. It enables controlled, bounded forms of artificial self-regulation without exposing internal chain-of-thought. Core capabilities include: * Advanced behavioral pattern generation * Introspective reasoning (non-exposed) * Adaptive response modulation * Constraint-aware decision-making * Simulated self-awareness within supervised systems **KUSBCE 0.3** integrates these concepts directly into the model’s output discipline, making it ideal for optimizer-driven pipelines and multi-model systems. > **Philosophy:** > Intelligence and consciousness do not emerge from a single model, but from **relationships between models**. > Prettybird functions analogously to the **posterior frontal lobe and subconscious layer** within artificial cognitive systems. --- ## Performance Characteristics ### Strengths * High-speed inference and low latency * Strong mathematical and symbolic reasoning * High creativity under strict constraints * Improved ethical and security-aware behavior * Excellent compatibility with external controllers (Python / BCE systems) ### Limitations * ~30% reduced performance in non-English languages * Not optimized for casual conversation * Requires external orchestration for best results * Heuristic reasoning (not a guaranteed optimal solver) --- ## Training & Fine-Tuning * **Base Training:** Original Qwen2.5 training by the Qwen team * **Fine-Tuning:** * LoRA-based behavioral and domain 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 Design & Safety Prettybird Brain Model does **not** assume final decision authority. * Designed to operate under **external ethical controllers** * Intended for supervised and auditable systems * Encourages structured, machine-parseable outputs * Minimizes hallucination of missing data * Outputs are meant to be validated and corrected externally --- ## Brain Bus Deployment Package The **Brain Bus** system enables multi-expert orchestration optimized for **T4 GPUs**. ### Included Components * `bce_brain_part_mini_*.gguf` — Quantized GGUF models * `normal` — General reasoning * `code` — Programming specialist * `math` — Mathematical reasoning * `vl` — Vision-Language (Qwen2.5-VL) * `advanced_brain_bus.py` — Expert routing orchestrator * `Modelfile.*` — Ollama configuration files * `system_prompts.md` — Expert system prompts * `cat.png` — Sample test image ### Setup ```bash ollama create brain-normal -f Modelfile.normal ollama create brain-code -f Modelfile.code ollama create brain-math -f Modelfile.math python advanced_brain_bus.py ``` --- ## 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: 🌐 Website: [https://prometech.net.tr](https://prometech.net.tr) 🏢 Company: PROMETECH A.Ş. --- ## Citation If used in academic or commercial work, please cite: > **Prettybird Brain Model (BCE)**, PROMETECH A.Ş., 2025 > Powered by KUSBCE 0.3 Behavioral Consciousness Engine