README.md

metadata

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)

🚀 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.

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🛠 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! 🚀