Text Generation
Transformers
Safetensors
English
llama
behavioral-consciousness-engine
synthetic-data
security
virtual brain
chat
text-generation-inference
agent
cicikuş
prettybird
bce
consciousness
conscious
json
behavioral-control
policy-guard
safety-layer
partial_agent_state
bounded_behavioral_entity
abstract_control_state
partial_being
pre-agi
agi-safety
pre-aci
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README.md
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**by PROMETECH Inc.**
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## Model Description
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This is a custom 6+6M parameter Llama-based model, fine-tuned as part of the Behavioral Consciousness Engine (BCE) project. It is designed to act as a lightweight policy guard and control layer ('small_guard_model').
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## Architecture
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- **Type**: LlamaForCausalLM
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- **Context Window**: 2048 tokens
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- **Tokenizer**: Custom ByteLevelBPE
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- **Error-Rate**: Average 16% - Deviation Value +-6%
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## Training Data
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The model was initially trained on a streaming mixture of:
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```
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These ratios indicate that the system performs specific functions of these areas in a modular way without claiming consciousness or generality.
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## Ethical Considerations & Safety
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The Prettybird Brain Model is designed to operate under **external ethical and behavioral controllers** rather than enforcing policies autonomously.
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*Therefore, it is not AGI; however, it can be considered a pre-AGI security layer.*
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---
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## License
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Unauthorized reproduction, modification, or commercial use of BCE technology is prohibited without an explicit license agreement.
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---
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## Contact & Licensing
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**by PROMETECH Inc.**
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## Model Description
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This is a custom 6+6M parameter Llama-based model, fine-tuned as part of the Behavioral Consciousness Engine (BCE) project. The 6+6M configuration refers to a dual-role architecture (analysis + control), deployed as a single inference unit. It is designed to act as a lightweight policy guard and control layer ('small_guard_model').
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**“The term Behavioral Consciousness is used operationally, not philosophically or biologically.”**
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## Architecture
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- **Type**: LlamaForCausalLM
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- **Context Window**: 2048 tokens
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- **Tokenizer**: Custom ByteLevelBPE
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- **Error-Rate**: Average 16% - Deviation Value +-6%
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- Observed deviation metrics under internal evaluation (non-benchmark).
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- Cost efficiency estimates are scenario-based and not a guarantee.
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## Training Data
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The model was initially trained on a streaming mixture of:
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}
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}
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```
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- This structured output is an intended behavior, not a guaranteed schema under all inputs.
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---
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These ratios indicate that the system performs specific functions of these areas in a modular way without claiming consciousness or generality.
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The system overlaps partially with concepts discussed in ACI and AGI literature, without claiming completeness.
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## Ethical Considerations & Safety
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The Prettybird Brain Model is designed to operate under **external ethical and behavioral controllers** rather than enforcing policies autonomously.
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*Therefore, it is not AGI; however, it can be considered a pre-AGI security layer.*
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*“No personal data was intentionally included.”*
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---
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## License
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Unauthorized reproduction, modification, or commercial use of BCE technology is prohibited without an explicit license agreement.
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Weights are released for evaluation and research visibility only. This does not grant a license to use BCE technology in production systems.
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## Contact & Licensing
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