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.
🛠 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! 🚀
Inference Providers
NEW
This model is not currently available via any of the supported Inference Providers.
The model cannot be deployed to the HF Inference API:
The model has no pipeline_tag.
Model tree for GainEnergy/OGMOE
Base model
mistralai/Mixtral-8x7B-v0.1
Finetuned
mistralai/Mixtral-8x7B-Instruct-v0.1
Evaluation results
- Engineering Knowledge Retention on GainEnergy GPT-4o Oil & Gas Training Setself-reportedComing Soon
- AI-Assisted Drilling Optimization on GainEnergy GPT-4o Oil & Gas Training Setself-reportedComing Soon
- Context Retention (MOE-Enhanced) on GainEnergy GPT-4o Oil & Gas Training Setself-reportedComing Soon