Update README.md

README.md

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+---
+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
+---
+[![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)
 
-# Brain Bus Deployment Package
-
-This package contains the artifacts for the Brain Bus AI system, optimized for T4 GPUs.
-
-## Contents
-- `bce_brain_part_mini_*.gguf`: Quantized GGUF models for Ollama/llama.cpp.
-  - `normal`: General conversational model.
-  - `code`: Coding specialist.
-  - `math`: Mathematics specialist.
-  - `vl`: Vision-Language model (Qwen2.5-VL).
-- `advanced_brain_bus.py`: Orchestrator script to route queries to appropriate experts.
-- `cat.png`: Sample image for testing.
-- `Modelfile.*`: Configuration files for creating Ollama models.
-- `system_prompts.md`: Reference for system prompts used by the experts.
-
-## Setup
-1. Install Ollama: https://ollama.com/
-2. Create models:
-   ```bash
-   ollama create brain-normal -f Modelfile.normal
-   ollama create brain-code -f Modelfile.code
-   ollama create brain-math -f Modelfile.math
-   ```
-3. Run the orchestrator (requires Python dependencies):
-   ```bash
-   python advanced_brain_bus.py
-   ```
+![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