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Qwen3.8-4B-Empero-AI-FullStack

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@@ -19,7 +19,7 @@ model_type: qwen3_5
 # Qwen3.8 4B Distill by Empero-AI and finetuned by iWebRoot
 ## Model Overview
-This model is a highly specialized, fine-tuned variant of **[empero-ai/Qwen3.8-4B-Distill](huggingface.co/empero-ai/Qwen3.8-4B-Distill)**, optimized using the **Unsloth** framework for modern full-stack web and cross-platform mobile software development.
 The base model features a full-parameter distillation of reasoning traces (Chain-of-Thought via `<think>...</think>` tags) from the frontier-scale **Qwen3.8 2.4T A95B** teacher model developed by **Empero-AI**. This grants the student model frontier-level planning, logic, and self-correction behaviors while maintaining a highly compact 4-billion parameter footprint tailored for local consumer hardware.

 # Qwen3.8 4B Distill by Empero-AI and finetuned by iWebRoot
 ## Model Overview
+This model is a highly specialized, fine-tuned variant of **[empero-ai/Qwen3.8-4B-Distill](https://huggingface.co/empero-ai/Qwen3.8-4B-Distill)**, optimized using the **Unsloth** framework for modern full-stack web and cross-platform mobile software development.
 The base model features a full-parameter distillation of reasoning traces (Chain-of-Thought via `<think>...</think>` tags) from the frontier-scale **Qwen3.8 2.4T A95B** teacher model developed by **Empero-AI**. This grants the student model frontier-level planning, logic, and self-correction behaviors while maintaining a highly compact 4-billion parameter footprint tailored for local consumer hardware.