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Model: KalnRangelov/landing-page-gen-1.5b
Source: Original Platform

README.md

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+---
+license: mit
+base_model: Qwen/Qwen2.5-Coder-1.5B-Instruct
+tags:
+  - landing-page
+  - html
+  - css
+  - web-development
+  - distillation
+  - lora
+  - gguf
+language:
+  - en
+pipeline_tag: text-generation
+---
+
+# Landing Page Generator 1.5B
+
+A fine-tuned Qwen2.5-Coder-1.5B model that generates complete, single-file HTML landing pages with embedded CSS.
+
+Trained via **knowledge distillation** from DeepSeek V3 (685B) using LoRA on Apple Silicon.
+
+## Model Variants
+
+| File | Precision | Size | Description |
+|------|-----------|------|-------------|
+| `model-f16.gguf` | FP16 | 3.1 GB | Full precision, best quality |
+| `model-q8.gguf` | Q8_0 | 1.6 GB | 8-bit quantized, near-identical quality |
+| `model-q4.gguf` | Q4_K_M | 986 MB | 4-bit quantized, good quality, smallest |
+
+## Usage with Ollama
+
+1. Download a GGUF file
+2. Create a `Modelfile`:
+
+```
+FROM ./model-q8.gguf
+TEMPLATE """{{- if .System }}<|im_start|>system
+{{ .System }}<|im_end|>
+{{ end }}<|im_start|>user
+{{ .Prompt }}<|im_end|>
+<|im_start|>assistant
+"""
+PARAMETER stop "<|im_end|>"
+PARAMETER temperature 0.3
+SYSTEM "You are a web developer. When asked to create a landing page, output a complete single-file HTML document with embedded CSS and modern design. Use clean gradients, card layouts, and responsive design. Output only the HTML code, nothing else."
+```
+
+3. Import and run:
+```bash
+ollama create landing-page-gen -f Modelfile
+ollama run landing-page-gen "Create a landing page for a space tourism company called Orbit Adventures"
+```
+
+## Training Details
+
+- **Base model**: Qwen2.5-Coder-1.5B-Instruct (4-bit)
+- **Teacher model**: DeepSeek V3 (685B parameters)
+- **Method**: LoRA (rank 16, 0.3% of weights trainable)
+- **Training data**: 500 diverse landing pages generated by DeepSeek V3
+- **Training**: 600 iterations on Apple Silicon (M-series) using MLX
+- **Best validation loss**: 0.218
+
+## Training Data
+
+The training dataset is available at [KalnRangelov/landing-page-training-data](https://huggingface.co/datasets/KalnRangelov/landing-page-training-data).
+
+## Full Experiment
+
+See the full experiment writeup, code, and example outputs on GitHub: [KalnRangelov/LLM-Landing-page-distillation](https://github.com/KalinRangelovRangelov/LLM-Landing-page-distillation)
+
+## License
+
+MIT