Okamela / README.md
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---
license: mit
language:
- en
pipeline_tag: text-generation
tags:
- transformers
- jax
- deepspeed
- pytorch
- safetensors
- tensorflow
- moe
- xai
- hipl
- rlhf
---
# 🌸 Okamela AI: The Future of Brain-Scale Intelligence πŸš€
![Okamela AI Logo](https://raw.githubusercontent.com/GeminiFan207/photos/main/IMG_0547.png)
---
## 🎯 **Overview**
**Okamela AI** is a **9.223 quintillion parameter AI model** developed by **Chatflare Corporation or Zeppelin Corporation**, surpassing all existing AI models by leveraging the power of **multimodal, multilingual, and cybersecurity-focused intelligence**.
Okamela AI is designed for **cutting-edge brain-scale applications** and outperforms models like GPT-4, DeepSeek, and Hunyuan Large in both speed and capability.
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## πŸ’‘ **Key Features**
- **πŸ”— Multimodal Understanding** – Processes text, images, audio, tabular data, and more.
- **🌍 Multilingual Support** – Seamlessly understands 200+ languages with high accuracy.
- **🧠 Advanced Reasoning** – Combines MoE (Mixture of Experts) and Transformer architecture.
- **πŸ›‘οΈ Enhanced Security** – Integrated with cybersecurity capabilities for threat detection.
- **πŸš€ Ultra-Fast Inference** – Optimized with Fugaku, NVIDIA DGX H100, and Cerebras CS-2 hardware.
---
## πŸ› οΈ **Technical Specifications**
- **Parameters:** 9.223 quintillion (9,223,372,036,854,775,807 parameters)
- **Architecture:** Mixture of Experts (MoE) + Transformer
- **Training Data:** Eclipse Corpuz Dataset (Multimodal and Multilingual)
- **Libraries:** PyTorch, DeepSpeed, and Hugging Face Transformers
- **Hardware:** Fugaku + NVIDIA DGX H100 + Cerebras CS-2