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  # SVG-Master
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  SVG-Master is a specialized fine-tuned LLM designed for high-quality **SVG code generation**. It takes natural language descriptions and outputs clean, valid, and optimized SVG code for icons, illustrations, and graphics.
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  Built on top of **Llama 3.2 3B Instruct**, this model has been instruction-tuned specifically to understand geometry, color theory, and SVG syntax.
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  You can run the dequantized/fused version of the model directly in Ollama.
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  ```bash
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- # Create the model in Ollama
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- ollama create svg-master -f Modelfile
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-
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- # Run the model
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- ollama run svg-master "Generate a blue glowing circuit board icon"
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  ```
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  ### 3. Python API
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  - `weights/`: Base 4-bit model weights and configuration.
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  - `adapters/`: LoRA adapter weights and training configuration.
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- - `weight_fused/`: Fully fused, dequantized BF16 model (generated via Task 1).
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  - `data/`: Prepared training/validation datasets.
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- - `Modelfile`: Configuration for Ollama deployment.
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-
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- ## 🔄 Dequantization & Fusion
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-
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- To recreate the original sized (FP16/BF16) model from the 4-bit weights and adapters:
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-
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- ```bash
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- uv run mlx_lm.fuse --model ./weights --adapter-path ./adapters --save-path ./weight_fused --dequantize
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- ```
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  ## 📜 License
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  - **HuggingFace**: [fahidnasir/SVG-Master](https://huggingface.co/fahidnasir/SVG-Master)
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  - **Kaggle**: [nfahid/svg-master](https://www.kaggle.com/models/nfahid/svg-master)
 
 
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+ ---
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+ license: other
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+ language:
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+ - en
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+ pipeline_tag: text-generation
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+ library_name: mlx
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+ tags:
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+ - mlx
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+ - svg
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+ - code-generation
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+ - graphics
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+ - vector-graphics
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+ - apple-silicon
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+ - llama
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+ ---
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+
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  # SVG-Master
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+ **Subtitle**: Expert SVG generation from natural language.
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+
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  SVG-Master is a specialized fine-tuned LLM designed for high-quality **SVG code generation**. It takes natural language descriptions and outputs clean, valid, and optimized SVG code for icons, illustrations, and graphics.
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  Built on top of **Llama 3.2 3B Instruct**, this model has been instruction-tuned specifically to understand geometry, color theory, and SVG syntax.
 
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  You can run the dequantized/fused version of the model directly in Ollama.
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  ```bash
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+ # Pull the model from Ollama Hub
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+ ollama run fahidnasir/svg-master "Generate a blue glowing circuit board icon"
 
 
 
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  ```
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  ### 3. Python API
 
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  - `weights/`: Base 4-bit model weights and configuration.
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  - `adapters/`: LoRA adapter weights and training configuration.
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+ - `weight_fused/`: Fully fused, dequantized BF16 model.
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  - `data/`: Prepared training/validation datasets.
 
 
 
 
 
 
 
 
 
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  ## 📜 License
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  - **HuggingFace**: [fahidnasir/SVG-Master](https://huggingface.co/fahidnasir/SVG-Master)
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  - **Kaggle**: [nfahid/svg-master](https://www.kaggle.com/models/nfahid/svg-master)
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+ - **Ollama**: [fahidnasir/svg-master](https://ollama.com/fahidnasir/svg-master)