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--- |
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license: apache-2.0 |
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datasets: |
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- GainEnergy/gpt-4o-oilandgas-trainingset |
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base_model: |
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- mistralai/Mixtral-8x7B-Instruct-v0.1 |
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library_name: transformers |
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tags: |
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- oil-gas |
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- drilling-engineering |
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- retrieval-augmented-generation |
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- finetuned |
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- energy-ai |
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- mixtral-8x7b |
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- lora |
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- mixture-of-experts |
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model-index: |
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- name: OGMOE |
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results: |
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- task: |
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type: text-generation |
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name: Oil & Gas AI Mixture of Experts |
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dataset: |
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name: GainEnergy GPT-4o Oil & Gas Training Set |
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type: custom |
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metrics: |
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- name: Engineering Knowledge Retention |
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type: accuracy |
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value: Coming Soon |
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- name: AI-Assisted Drilling Optimization |
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type: precision |
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value: Coming Soon |
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- name: Context Retention (MOE-Enhanced) |
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type: contextual-coherence |
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value: Coming Soon |
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--- |
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# **OGMOE: Oil & Gas Mixture of Experts AI (Coming Soon)** |
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[](LICENSE) |
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🚀 **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. |
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🌍 **COMING SOON**: The model is currently in training and will be released soon. |
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--- |
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## **🛠 Capabilities** |
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- **🔬 Adaptive Mixture of Experts (MoE)**: Dynamic routing for high-efficiency inference. |
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- **📚 Long-Context Understanding**: Supports **up to 32K tokens** for technical reports and drilling workflows. |
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- **⚡ High Precision for Engineering**: Optimized for **petroleum fluid calculations, drilling operations, and subsurface analysis**. |
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### **Deployment** |
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Upon release, OGMOE will be available on: |
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- **Hugging Face Inference API** |
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- **RunPod Serverless GPU** |
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- **AWS EC2 (G5 Instances)** |
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📌 Stay tuned for updates! 🚀 |
