metadata

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

TBH.AI Vortex GGUF (4-bit )

Developed by: TBH.AI
License: apache-2.0
Fine-tuned from: saishshinde15/TBH.AI_Vortex
Formats: GGUF ( 4-bit)

Overview

TBH.AI 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, TBH.AI 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."