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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
- 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