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---
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"/>
<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">
π <a href="https://hyzeai.vercel.app">hyzeai.vercel.app</a> β’
π <a href="https://hyzedocs.vercel.app">hyzedocs.vercel.app</a> β’
π§ <a href="https://hyzecode.vercel.app">hyzecode.vercel.app</a>
</p>
---
## π 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.
---
## π§ Core Focus
Hyze RE1 Pro is optimized for:
- π¬ Advanced reasoning
- π Research-oriented analysis
- π§© Multi-step problem solving
- π Long-form structured explanations
- π§ Logical and technical tasks
This model prioritizes **clarity, depth, and reasoning structure** over casual chat behavior.
---
## π Model Specifications
- **Architecture:** Transformer
- **Parameters:** 20 Billion
- **Type:** Open-weight research model
- **Primary Domain:** Reasoning & Research
- **Language:** English
---
## π§ͺ 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
---
## β‘ Why RE1 Pro?
While many frontier models remain closed and restricted, RE1 Pro embraces:
- β
Accessibility
- β
Transparency
- β
Open experimentation
- β
Independent research freedom
It aims to reduce the barrier between individual researchers and high-performance AI systems.
---
## β οΈ Limitations
- Large compute requirements (20B parameters)
- Not optimized for casual short-form chat
- Outputs should be validated in academic or production contexts
---
## π§ͺ Example Usage
```python
from transformers import pipeline
generator = pipeline(
"text-generation",
model="HyzeAI/Hyze-RE1-Pro"
)
print(generator("Explain the mathematical intuition behind backpropagation.")) |