README.md

---
license: apache-2.0
datasets:
- GainEnergy/gpt-4o-oilandgas-trainingset
base_model:
- mistralai/Mixtral-8x7B-Instruct-v0.1
library_name: transformers
tags:
  - oil-gas
  - drilling-engineering
  - retrieval-augmented-generation
  - finetuned
  - energy-ai
  - mixtral-8x7b
  - lora
  - mixture-of-experts
model-index:
  - name: OGMOE
    results:
      - task:
          type: text-generation
          name: Oil & Gas AI Mixture of Experts
        dataset:
          name: GainEnergy GPT-4o Oil & Gas Training Set
          type: custom
        metrics:
          - name: Engineering Knowledge Retention
            type: accuracy
            value: Coming Soon
          - name: AI-Assisted Drilling Optimization
            type: precision
            value: Coming Soon
          - name: Context Retention (MOE-Enhanced)
            type: contextual-coherence
            value: Coming Soon
---

# **OGMOE: Oil & Gas Mixture of Experts AI (Coming Soon)**

![Hugging Face](https://img.shields.io/badge/HuggingFace-OGMOE-blue)  
[![License](https://img.shields.io/github/license/huggingface/transformers.svg)](LICENSE)

🚀 **OGMOE** is a **next-generation Oil & Gas AI model** powered by **Mixture of Experts (MoE)** architecture. Optimized for **drilling, reservoir, production, and engineering document processing**, this model dynamically routes computations through specialized expert layers.

🌍 **COMING SOON**: The model is currently in training and will be released soon.

---
## **🛠 Capabilities**
- **🔬 Adaptive Mixture of Experts (MoE)**: Dynamic routing for high-efficiency inference.
- **📚 Long-Context Understanding**: Supports **up to 32K tokens** for technical reports and drilling workflows.
- **⚡ High Precision for Engineering**: Optimized for **petroleum fluid calculations, drilling operations, and subsurface analysis**.

### **Deployment**
Upon release, OGMOE will be available on:
- **Hugging Face Inference API**
- **RunPod Serverless GPU**
- **AWS EC2 (G5 Instances)**

📌 Stay tuned for updates! 🚀