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README.md

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 > **Canum-Qwen3\_R1-4B-iCoT** is a precision-tuned variant of the Qwen3-4B architecture, explicitly aligned with **internal chain-of-thought (iCoT)** methodologies. Trained on the **TAUR-dev/STEPS\_\_r1\_4d\_eval\_\_mini\_all** dataset, this model excels in **long-form mathematical reasoning**, **progressive symbolic logic**, and **multi-stage problem decomposition**, all within a compact 4B parameter footprint.
 
+> [!note]
+GGUF : https://huggingface.co/prithivMLmods/Canum-Qwen3_R1-4B-iCoT-Q4_K_M-GGUF
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 ## Key Features
 
 1. **Internal Chain-of-Thought Reasoning (iCoT)**