| --- |
| license: mit |
| datasets: |
| - kulia-moon/DeepRethink |
| language: |
| - en |
| base_model: |
| - openai-community/gpt2-medium |
| tags: |
| - DeepQ |
| - DeepRethink integrated |
| - QFamily |
| - Hugging Face |
| - NLP |
| - AI Research |
| - Reasoning |
| - Cognitive Simulation |
| - Transformers |
| - StableChatAI |
| - MultiVendor Deployments |
| - Region-Based Scaling |
| - Production Ready |
| --- |
| |
|
|
| # 🌌 DeepQ |
|
|
|  |
|  |
|  |
|  |
|  |
|  |
|  |
|  |
|  |
|  |
|
|
| --- |
|
|
| ## 🤯 What is DeepQ? |
|
|
| **DeepQ** is an advanced deep reasoning language model created through the synergy between the **QFamily** architecture and the cutting-edge **DeepRethink** dataset. Designed to push the limits of context-rich inference, explanation generation, and reflective response modeling, DeepQ is the next evolution in human-like thought simulation. |
|
|
| It inherits the base architecture of `gpt2-medium` and is fine-tuned with the **DeepRethink** dataset (`kulia-moon/DeepRethink`), which focuses on multi-perspective reasoning, contradictory thought, question decomposition, and hypothetical situations — all geared towards cultivating a machine that *rethinks before responding*. |
|
|
| --- |
|
|
| ## 📦 Key Features |
|
|
| | Feature | Description | |
| | ----------------------- | ----------------------------------------------------------------------- | |
| | 🧠 DeepRethink Data | Trained on thousands of synthetic and real thought chains | |
| | 🧬 Cognitive Patterns | Simulates re-evaluation and critical thinking behaviors | |
| | 🏗 GPT2 Foundation | Built on `openai-community/gpt2-medium` | |
| | 🌎 Regional Scaling | Deploys across regions for low-latency use | |
| | 💬 Reflective Responses | Handles contradiction, dilemma, and uncertainty contexts | |
| | 🛠 Use Case Ready | Research, chatbots, simulators, tutoring systems, AI ethics discussions | |
| | ☁️ Multi-vendor Support | Optimized for deployment on Hugging Face, Vercel, AWS, GCP, Azure | |
| | 🚀 Streaming Compatible | Full support for SSE and WebSocket-based AI pipelines | |
| | 📚 Licensing | MIT license, open and production-friendly | |
|
|
| --- |
|
|
| ## 🚀 Deployments |
|
|
| | Region | Vendor | Endpoint | Deployment Badge | |
| | ---------------------- | ------------ | --------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------ | |
| | US East (VA) | Hugging Face | [US East](https://endpoints.huggingface.co/new?repository=StableChatAI/DeepQ) |  | |
| | EU West (Ireland) | Hugging Face | [EU West](https://endpoints.huggingface.co/new?repository=StableChatAI/DeepQ) |  | |
| | Asia (Singapore) | Hugging Face | [Asia](https://endpoints.huggingface.co/new?repository=StableChatAI/DeepQ) |  | |
| | Global CDN | Vercel | [Vercel CDN](https://deepq.vercel.app) |  | |
| | US West (Oregon) | AWS | [AWS](https://endpoints.huggingface.co/new?repository=StableChatAI/DeepQ) |  | |
| | EU Central (Frankfurt) | AWS | [AWS EU](https://endpoints.huggingface.co/new?repository=StableChatAI/DeepQ) |  | |
| | Tokyo | GCP | [GCP JP](https://endpoints.huggingface.co/new?repository=StableChatAI/DeepQ) |  | |
| | Sydney | Azure | [Azure AU](https://endpoints.huggingface.co/new?repository=StableChatAI/DeepQ) |  | |
| | São Paulo | Hugging Face | [Brazil](https://endpoints.huggingface.co/new?repository=StableChatAI/DeepQ) |  | |
| | India (Mumbai) | Hugging Face | [India](https://endpoints.huggingface.co/new?repository=StableChatAI/DeepQ) |  | |
| | Canada (Montreal) | Hugging Face | [Canada](https://endpoints.huggingface.co/new?repository=StableChatAI/DeepQ) |  | |
| | Africa (Cape Town) | Hugging Face | [Africa](https://endpoints.huggingface.co/new?repository=StableChatAI/DeepQ) |  | |
| | Middle East (Bahrain) | Hugging Face | [Middle East](https://endpoints.huggingface.co/new?repository=StableChatAI/DeepQ) |  | |
|
|
| --- |
|
|
| ## 🧪 Use Cases |
|
|
| * **AI Research**: Foundation for studying multi-layered logic simulation and AI explainability |
| * **Reflective Chatbots**: For applications needing nuanced and multi-turn understanding |
| * **Tutoring Systems**: Where feedback loops and re-evaluation are essential |
| * **Debate Engines**: Model holds internal opposition to simulate conflict and resolution |
| * **Philosophical AI**: Explore cognitive dissonance, ethics, duality, and hypothetical constructs |
| * **Medical/Ethical Simulators**: With dilemma-aware prompts and double-sided scenarios |
|
|
| --- |
|
|
| ## 🧭 Quickstart |
|
|
| ```bash |
| pip install transformers |
| from transformers import pipeline |
| |
| qa = pipeline("text-generation", model="StableChatAI/DeepQ") |
| qa("Why do people sometimes change their beliefs?") |
| ``` |
|
|
| --- |
|
|
| ## 🌐 Links |
|
|
| * **Model Card**: [https://huggingface.co/StableChatAI/DeepQ](https://huggingface.co/StableChatAI/DeepQ) |
| * **Dataset**: [https://huggingface.co/datasets/kulia-moon/DeepRethink](https://huggingface.co/datasets/kulia-moon/DeepRethink) |
| * **Deploy Model**: [https://endpoints.huggingface.co/new?repository=StableChatAI/DeepQ](https://endpoints.huggingface.co/new?repository=StableChatAI/DeepQ) |
| * **GitHub**: [https://github.com/StableChatAI/DeepQ](https://github.com/StableChatAI/DeepQ) |
| * **License**: MIT |
|
|
| --- |
|
|
| > *“DeepQ isn't just another language model — it's a new frontier of thought.”* |
| > — QFamily Lab 🧪 |
