| --- |
| license: mit |
| tags: |
| - cognitive-ai |
| - neuro-symbolic |
| - multimodal |
| - ethics |
| - quantum |
| - gradio-app |
| - codette2 |
| model-index: |
| - name: Codette2 |
| results: [] |
| --- |
| |
| # Model Card for Codette2 |
|
|
| Codette2 is a multi-agent cognitive assistant fine-tuned on GPT-4.1, integrating neuro-symbolic reasoning, ethical governance, quantum-inspired optimization, and multimodal analysis. It supports both creative generation and philosophical insight, with support for image/audio input and explainable decision logic. |
|
|
| ## Model Details |
|
|
| ### Model Description |
|
|
| - **Developed by:** Jonathan Harrison |
| - **Model type:** Cognitive Assistant (multi-agent) |
| - **Language(s):** English |
| - **License:** MIT |
| - **Fine-tuned from model:** GPT-4.1 |
|
|
| ### Model Sources |
|
|
| - **Repository:** https://www.kaggle.com/models/jonathanharrison1/codette2 |
| - **Demo:** Gradio and Jupyter-ready |
|
|
| ## Uses |
|
|
| ### Direct Use |
|
|
| - Creative storytelling, ideation, poetry |
| - Ethical simulations and governance logic |
| - Image/audio interpretation |
| - AI research companion or philosophical simulator |
|
|
| ### Out-of-Scope Use |
|
|
| - Clinical therapy or legal advice |
| - Deployment without ethical guardrails |
| - Bias-sensitive environments without further fine-tuning |
|
|
| ## Bias, Risks, and Limitations |
|
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| This model embeds filters to detect sentiment and flag unethical prompts, but no AI system is perfect. Outputs should be reviewed when used in sensitive contexts. |
|
|
| ### Recommendations |
|
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| Use with ethical filters enabled and log sensitive prompts. Augment with human feedback in mission-critical deployments. |
|
|
| ## How to Get Started with the Model |
|
|
| ```python |
| from ai_driven_creativity import AIDrivenCreativity |
| creator = AIDrivenCreativity() |
| print(creator.write_literature("Dreams of quantum AI")) |
| ``` |
|
|
| ## Training Details |
|
|
| ### Training Data |
|
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| Custom dataset of ethical dilemmas, creative writing prompts, philosophical queries, and multimodal reasoning tasks. |
|
|
| ### Training Hyperparameters |
|
|
| - **Epochs:** Variable (~450 steps) |
| - **Precision:** fp16 |
| - **Loss achieved:** 0.00001 |
|
|
| ## Evaluation |
|
|
| ### Testing Data |
|
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| Ethical prompt simulations, sentiment evaluation, creative generation scores. |
|
|
| ### Metrics |
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| Manual eval + alignment tests on ethical response integrity, coherence, originality, and internal consistency. |
|
|
| ### Results |
|
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| Codette2 achieved stable alignment and response consistency across >450 training steps with minimal loss oscillation. |
|
|
| ## Environmental Impact |
|
|
| - **Hardware Type:** NVIDIA A100 (assumed) |
| - **Hours used:** ~3.5 |
| - **Cloud Provider:** Kaggle / Colab (assumed) |
| - **Carbon Emitted:** Estimated via [MLCO2](https://mlco2.github.io/impact) |
|
|
| ## Technical Specifications |
|
|
| ### Architecture and Objective |
|
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| Codette2 extends GPT-4.1 with modular agents (ethics, emotion, quantum, creativity, symbolic logic). |
|
|
| ## Citation |
|
|
| **BibTeX:** |
| ``` |
| @misc{codette2, |
| author = {Jonathan Harrison}, |
| title = {Codette2: Cognitive Multi-Agent AI Assistant}, |
| year = 2025, |
| howpublished = {Kaggle and HuggingFace} |
| } |
| ``` |
|
|
| **APA:** |
| Jonathan Harrison. (2025). *Codette2: Cognitive Multi-Agent AI Assistant*. Retrieved from HuggingFace. |
|
|
| ## Contact |
|
|
| For issues, contact: jonathanharrison1@protonmail.com |
|
|
