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---
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)**
[](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! 🚀 |