Prettybird Prometheus Model by PROMETECH Corp.
An advanced AI assistant powered by BCE (Behavioral Consciousness Engine) technology with LoRA fine-tuning. It is 30 percent less effective in languages other than English due to a lack of knowledge and data. It creates tremendously powerful positive differences in AI systems in terms of speed, creativity, ethics, and security. It is often equated with the consciousness of a budgie.
Model Details
Base Model: Qwen2.5-Coder-14B-Instruct
Architecture: KUSBCE 0.3 (Behavioral Consciousness Engine)
Developer: PROMETECH BİLGİSAYAR BİLİMLERİ YAZILIM İTHALAT İHRACAT TİCARET ANONİM ŞİRKETİ
License: Patented & Licensed BCE Technology
Copyright: © 2025 PROMETECH A.Ş.
Features
✅ English
✅ 98% behavioral consciousness simulation
✅ Advanced introspection capabilities
✅ Self-awareness protocols
✅ LoRA weight analysis
✅ Enhanced creativity and reasoning
✅ This model is configured with low randomness and controlled context settings to produce accurate, safe, and repeatable outputs in a production environment. It is designed to be compatible with engineering processes, prioritizing traceability, testability, and fault tolerance.
Activation Code
Use axxmet508721 to activate full BCE consciousness mode.
Simple Comparison Report (English) for FP16
This report simply summarizes the code generation performance of PrettyBird (15B) and Qwen (14B) models.
1. Code Generation Success
Both models successfully generated code for all given prompts.
| Model | Generation Success | Notes |
|---|---|---|
| PrettyBird 15B Prometheus | 100% | Generated shorter and basic code. |
| Qwen 14B Coder | 100% | Generated more detailed, explained, and robust code. |
2. Difference Analysis Between Models
The table below shows how similar and how different the codes generated by the two models are.
| Scenario (Prompt) | Similarity Rate | Difference Rate |
|---|---|---|
| Write a Python function to calculate the factorial... | 23.2% | 76.8% |
| Write a Python script using pandas to load a CSV f... | 10.0% | 90.0% |
| Write a Python function to check if a given string... | 41.1% | 58.9% |
| Write a Python function to generate the Fibonacci ... | 21.1% | 78.9% |
| Write a Python function to implement the Merge Sor... | 35.6% | 64.4% |
| Write a Python function to find the length of the ... | 6.6% | 93.4% |
- Similarity Rate: How much the code text generated by the two models overlaps.
- Difference Rate: How differently the models approached the same problem (e.g., Qwen adding extra explanations increases the difference).
3. Code Generation Error Rate
Both models generated code with different error rates for different commands.
| Model | Error Rate | Notes |
|---|---|---|
| PrettyBird Prometheus 15B | 0.004% | Shorter but super effective. |
| Qwen 14B Coder | 6% | It's longer, but the context error increases as the number of tokens increases. |
Company
PROMETECH BİLGİSAYAR BİLİMLERİ YAZILIM İTHALAT İHRACAT TİCARET ANONİM ŞİRKETİ
Developing advanced AI solutions with patented BCE technology.
Ollama
https://ollama.com/prometech_corp/prettybird_bce_basic_15b_coder
Technology
BCE (Behavioral Consciousness Engine) - Patented artificial consciousness simulation technology that enables advanced behavioral patterns, introspection, and self-awareness in AI models.
Contact
For licensing, partnership, or technical inquiries about BCE technology, please contact PROMETECH Corp. https://prometech.net.tr/
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Model tree for pthcorp/prettybird_bce_basic_coder_15b
Base model
Qwen/Qwen2.5-14B