---
datasets:
- liuhaotian/LLaVA-Pretrain
pipeline_tag: image-text-to-text
library_name: transformers.js
license: apache-2.0
language:
- en
metrics:
- accuracy
---
<p align="center">
  <img src="https://i.imgur.com/BVjGIik.png" alt="Hyze Logo" width="100"/>
  &nbsp;&nbsp;&nbsp;
  <img src="https://i.imgur.com/ePJMLNp.png" alt="Founder" width="405"/>
</p>

<h1 align="center">Hyze RE1 Pro</h1>

<p align="center">
  20B Open-Weight Research Model by <b>Hyze AI</b>
</p>

<p align="center">
  🌐 <a href="https://hyzeai.vercel.app">hyzeai.vercel.app</a> •  
  📘 <a href="https://hyzedocs.vercel.app">hyzedocs.vercel.app</a> •  
  🧠 <a href="https://hyzecode.vercel.app">hyzecode.vercel.app</a>
</p>

---

## 🚀 Overview

**Hyze RE1 Pro** is a **20-billion parameter transformer model** designed exclusively for **research and advanced reasoning tasks**.

Built on the philosophy that:

> Frontier AI should not belong only to billion-dollar budgets.

RE1 Pro delivers strong reasoning performance in a **fully open-weight package**, empowering researchers, developers, and independent innovators.

---

## 🧠 Core Focus

Hyze RE1 Pro is optimized for:

- 🔬 Advanced reasoning  
- 📊 Research-oriented analysis  
- 🧩 Multi-step problem solving  
- 📚 Long-form structured explanations  
- 🧠 Logical and technical tasks  

This model prioritizes **clarity, depth, and reasoning structure** over casual chat behavior.

---

## 📊 Model Specifications

- **Architecture:** Transformer  
- **Parameters:** 20 Billion  
- **Type:** Open-weight research model  
- **Primary Domain:** Reasoning & Research  
- **Language:** English  

---

## 🧪 Intended Use

Hyze RE1 Pro is designed for:

- Academic research experiments  
- Independent AI research labs  
- Reasoning benchmark testing  
- Long-form technical analysis  
- Open-weight innovation  

---

## ⚡ Why RE1 Pro?

While many frontier models remain closed and restricted, RE1 Pro embraces:

- ✅ Accessibility  
- ✅ Transparency  
- ✅ Open experimentation  
- ✅ Independent research freedom  

It aims to reduce the barrier between individual researchers and high-performance AI systems.

---

## ⚠️ Limitations

- Large compute requirements (20B parameters)  
- Not optimized for casual short-form chat  
- Outputs should be validated in academic or production contexts  

---

## 🧪 Example Usage

```python
from transformers import pipeline

generator = pipeline(
    "text-generation",
    model="HyzeAI/Hyze-RE1-Pro"
)

print(generator("Explain the mathematical intuition behind backpropagation."))