Update README.md

README.md

@@ -1,3 +1,130 @@
----
-license: apache-2.0
----
+---
+license: apache-2.0
+datasets:
+- GainEnergy/quantum-oil-gas-dataset
+base_model:
+- GainEnergy/OGAI-R1
+- qihoo360/TinyR1-32B-Preview
+library_name: transformers
+tags:
+  - oil-gas
+  - quantum-computing
+  - hybrid-ai
+  - reservoir-engineering
+  - well-optimization
+  - retrieval-augmented-generation
+  - fine-tuned
+  - quantum-llm
+  - upstrima
+model-index:
+  - name: OGAI-Quantum
+    results:
+      - task:
+          type: text-generation
+          name: Quantum AI for Oil & Gas Engineering
+        dataset:
+          name: GainEnergy Quantum Oil & Gas Dataset
+          type: custom
+        metrics:
+          - name: Quantum Reservoir Simulation Speedup
+            type: benchmark
+            value: Coming Soon
+          - name: Hybrid AI Computational Efficiency
+            type: benchmark
+            value: Coming Soon
+          - name: Quantum-RAG Retrieval Score
+            type: accuracy
+            value: Coming Soon
+---
+
+# **OGAI-Quantum: The Future of Oil & Gas AI (Coming Soon)**
+
+![Hugging Face](https://img.shields.io/badge/HuggingFace-OGAI--Quantum-blue)  
+[![License](https://img.shields.io/github/license/huggingface/transformers.svg)](LICENSE)
+
+🚀 **OGAI-Quantum** is a **next-generation hybrid AI model** that fuses **quantum computing principles with classical deep learning** to deliver breakthrough performance in **reservoir modeling, drilling optimization, seismic analysis, and energy AI workflows**.
+
+🌍 **COMING SOON**: Currently in **final development and quantum validation testing**.
+
+---
+## **🫠 Capabilities**
+- **⚡ Quantum-Accelerated Simulations** – Faster reservoir modeling and seismic analysis.
+- **🧠 Hybrid AI-Quantum Workflows** – Integrates quantum variational circuits with deep learning.
+- **📚 Quantum-RAG for Technical Knowledge Retrieval** – Advanced AI-driven document retrieval for energy data.
+
+### **📌 Core Quantum Use Cases**
+| **Use Case**                  | **Quantum Advantage** |
+|--------------------------------|-----------------------|
+| **Reservoir Simulation**       | Multi-state quantum superposition for faster modeling |
+| **Seismic Data Processing**    | Quantum-based feature recognition in seismic datasets |
+| **Well Placement Optimization** | Quantum annealing for high-dimensional search spaces |
+| **Production Optimization**     | Quantum variational circuits for real-time gas lift & production tuning |
+
+---
+
+## 🏢 **Quantum-Classical Hybrid Framework**
+OGAI-Quantum is powered by **Upstrima's Quantum AI Engine**, combining **quantum-enhanced decision-making** with traditional deep learning.
+
+```yaml
+System Architecture:
+├── Quantum Simulation Layer
+│   ├── Quantum Gate Operations
+│   ├── Qiskit & PennyLane Integration
+│   ├── Variational Quantum Circuits (VQC)
+├── Classical AI Model
+│   ├── Fine-Tuned TinyR1-32B Model
+│   ├── Hybrid Engineering Knowledge Base
+│   ├── Neural Retrieval-Augmented Generation (RAG)
+└── Hybrid Orchestration Layer
+    ├── Quantum-Classical Task Partitioning
+    ├── High-Performance Cloud API
+    ├── Real-Time Quantum State Synchronization
+```
+
+---
+
+## 📦 **Model Variants**
+| **Model Name**     | **Base Model**   | **Quantum Features** | **Context Window** | **Use Case** |
+|-------------------|----------------|----------------|----------------|-------------|
+| **OGAI-Quantum**  | TinyR1-32B + Quantum | Yes | 32K tokens | **Hybrid AI for Energy & Engineering** |
+| **OGAI-R1**       | TinyR1-32B | No | 32K tokens | **Reservoir AI & RAG** |
+| **OGMOE**         | Mixtral-8x7B + MoE | No | 32K tokens | **Drilling Optimization & Decision Support** |
+
+---
+
+## 🚀 **Deployment & Integration**
+OGAI-Quantum will be available on:
+- **Hugging Face Inference API**
+- **AWS Braket for Hybrid Quantum-Classical Workflows**
+- **On-Premise Quantum-Classical HPC Deployment**
+
+### **🔧 Technical Stack**
+- **Quantum Libraries:** `Qiskit`, `PennyLane`, `Cirq`
+- **AI Frameworks:** `Transformers`, `AutoGPTQ`, `PEFT`
+- **Data Pipelines:** `FAISS`, `Pinecone`, `LangChain`
+
+---
+
+## ⚠️ **Limitations**
+🚧 **Quantum Hardware Dependency** – While designed for hybrid execution, full quantum acceleration requires cloud-based quantum backends.  
+🚧 **Experimental Hybrid AI** – Model performance is still undergoing validation for real-world **engineering applications**.  
+🚧 **Not General-Purpose** – Optimized specifically for **oil & gas industry workflows**.  
+
+---
+
+## 🔗 **Resources**
+- **[Quantum Applications in Oil & Gas](https://huggingface.co/docs/quantum-oil-gas-applications)** – Technical whitepaper on **hybrid AI for energy**.
+- **[GainEnergy AI Platform](https://gain.energy)** – Explore AI-powered **quantum-enhanced energy solutions**.
+- **[Upstrima Quantum Computing Extension](https://huggingface.co/docs/upstrima-quantum-extension)** – WebAssembly-powered quantum simulation.
+
+---
+
+## 📚 **Citing OGAI-Quantum**
+```bibtex
+@article{ogai-quantum-2025,
+  title={OGAI-Quantum: Hybrid Quantum-Classical AI for Oil & Gas Engineering},
+  author={GainEnergy AI Team},
+  year={2025},
+  publisher={Hugging Face Models}
+}
+```