---
license: apache-2.0
datasets:
- GainEnergy/reasoner
- GainEnergy/SMoE-Training
- GainEnergy/oilandgas-engineering-dataset
- GainEnergy/ogdataset
- GainEnergy/ogai-8x7B
- open-r1/OpenR1-Math-220k
- facebook/natural_reasoning
base_model:
- mistralai/Mixtral-8x22B-Instruct-v0.1
library_name: transformers
tags:
- oil-gas
- engineering
- retrieval-augmented-generation
- fine-tuned
- high-performance
- 22b
model-index:
- name: OGAI-8x22B
  results:
  - task:
      type: text-generation
      name: High-Performance Oil & Gas AI
    dataset:
      name: GainEnergy GPT-4o Oil & Gas Training Set
      type: custom
    metrics:
    - name: Engineering Reasoning Score
      type: accuracy
      value: Coming Soon
    - name: Computational Efficiency
      type: benchmark
      value: Coming Soon
    - name: Knowledge Retrieval Accuracy
      type: precision
      value: Coming Soon
---

# **OGAI-8x22B: High-Performance Oil & Gas LLM (Coming Soon)**

![Hugging Face](https://img.shields.io/badge/HuggingFace-OGAI--8x22B-orange)  
[![License](https://img.shields.io/github/license/huggingface/transformers.svg)](LICENSE)

🚀 **OGAI-8x22B** is a **high-performance oil & gas AI model** fine-tuned from **Mixtral-8x22B**. It provides **industry-leading accuracy** for **engineering workflows, drilling automation, and knowledge retrieval**.

🌍 **COMING SOON**: Currently undergoing testing for **energy-sector applications**.

---
## **🛠 Capabilities**
- **🌎 Advanced Reasoning**: Improved decision-making for drilling & production engineering.
- **🧠 22B Parameter Scale**: Optimized for **long-context understanding** and technical accuracy.
- **⚙️ AI-Driven Workflow Automation**: Supports **Upstrima AI’s energy-focused AI agents**.

### **Deployment**
- Available soon on **Hugging Face, AWS, and Serverless AI Hosting**.

📌 Stay updated for the official release! 🚀

## OGAI-8x22B GGUF Model Preview (Split Download)

### 🔹 Download & Reassemble Instructions

1️⃣ **Download all split files (`ogai-8x22b-part-*`).**  
2️⃣ **Download `reassemble.sh` from this repository.**  
3️⃣ **Run the following command to merge them into a single GGUF file:**
```bash
bash reassemble.sh
```
---