|
--- |
|
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](https://huggingface.co/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: |
|
```python |
|
"You are an advanced AI assistant. Provide answers in a clear, step-by-step manner." |
|
``` |