metadata
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
- 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:
"You are an advanced AI assistant. Provide answers in a clear, step-by-step manner."