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  base_model:
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- - saishshinde15/TBH.AI_Base_Reasoning
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  tags:
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  - text-generation
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  - transformers
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  - en
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  ---
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- # **TBH.AI Vortex Reasoning (GGUF)**
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- - **Model Name:** `saishshinde15/TBH.AI_Vortex_Reasoning_GGUF`
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- - **Developed by:** TBH.AI
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  - **License:** Apache 2.0
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- - **Fine-tuned from:** [TBH.AI_Base_Reasoning](https://huggingface.co/saishshinde15/TBH.AI_Base_Reasoning)
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  - **Available in:** **16-bit and 4-bit GGUF formats**
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  ---
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  ## **Overview**
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- TethysAI Vortex Reasoning is an **experimental model** designed to replicate the **advanced reasoning** abilities of **TBH.AI_Base_Reasoning**, which was originally enhanced using **GRPO**. Instead of GRPO, this model was fine-tuned with **high-quality structured data** using **high-end Supervised Fine-Tuning (SFT)** to replicate the step-by-step **thinking and self-questioning** mechanisms seen in models like **DeepSeek-R1**.
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  This model has been optimized for **efficient inference in GGUF format**, allowing for **deployment on CPU-based systems** and **lightweight edge devices** without sacrificing reasoning capabilities.
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  ---
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  base_model:
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+ - saishshinde15/Clyrai_Base_Reasoning
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  tags:
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  - text-generation
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  - transformers
 
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  - en
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  ---
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+ # **Clyrai Vortex Reasoning (GGUF)**
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+ - **Model Name:** `saishshinde15/Clyrai_Vortex_Reasoning_GGUF`
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+ - **Developed by:** clyrai
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  - **License:** Apache 2.0
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+ - **Fine-tuned from:** [Clyrai_Base_Reasoning](https://huggingface.co/saishshinde15/Clyrai_Base_Reasoning)
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  - **Available in:** **16-bit and 4-bit GGUF formats**
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  ---
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  ## **Overview**
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+ TethysAI Vortex Reasoning is an **experimental model** designed to replicate the **advanced reasoning** abilities of **Clyrai_Base_Reasoning**, which was originally enhanced using **GRPO**. Instead of GRPO, this model was fine-tuned with **high-quality structured data** using **high-end Supervised Fine-Tuning (SFT)** to replicate the step-by-step **thinking and self-questioning** mechanisms seen in models like **DeepSeek-R1**.
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  This model has been optimized for **efficient inference in GGUF format**, allowing for **deployment on CPU-based systems** and **lightweight edge devices** without sacrificing reasoning capabilities.
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