---
base_model:
- saishshinde15/Clyrai_Vortex
tags:
- text-generation-inference
- transformers
- qwen2
- trl
- gguf
- fp16
- 4bit
license: apache-2.0
language:
- en
---

# **Clyrai Vortex GGUF (4-bit )**


- **Developed by:** clyrai 
- **License:** apache-2.0  
- **Fine-tuned from:** [saishshinde15/Clyrai_Vortex](https://huggingface.co/saishshinde15/Clyrai_Vortex)  
- **Formats:** GGUF ( 4-bit)  

## **Overview**  

Clyrai Vortex GGUF is a **highly optimized** and **efficient reasoning model**, designed for **advanced logical inference, structured problem-solving, and knowledge-driven decision-making**. As part of the **Vortex Family**, this model excels in **complex multi-step reasoning, detailed explanations, and high-context understanding** across various domains.  

Built upon **fine-tuning on premium datasets**, Clyrai Vortex GGUF demonstrates:  
- **Superior logical consistency** for tackling complex queries  
- **Clear, step-by-step reasoning** in problem-solving tasks  
- **Accurate and well-grounded responses**, ensuring factual reliability  
- **Enhanced long-form understanding**, making it ideal for in-depth research and analysis  

With **4-bit optimizations**, this model offers **scalable performance**, balancing **high precision with efficiency**, making it suitable for **both cloud and edge deployment**.  

## **Key Features**  

- **Advanced fine-tuning on high-quality datasets** for enhanced logical inference and structured reasoning.  
- **Optimized for step-by-step explanations**, improving response clarity and accuracy.  
- **High efficiency across devices**, with **GGUF 16-bit** for precision and **GGUF 4-bit** for lightweight deployment.  
- **Fast and reliable inference**, ensuring minimal latency while maintaining high performance.  
- **Multi-turn conversation coherence**, enabling deep contextual understanding in dialogue-based AI applications.  
- **Scalable for various use cases**, including AI tutoring, research, decision support, and autonomous agents.  

## **Usage**  

For best results, use the following system instruction:  
```python
"You are an advanced AI assistant. Provide answers in a clear, step-by-step manner."
```