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qwen3-4b-structeval-lora

This is a LoRA adapter finetuned on Qwen3-4B-Instruct-2507 for structured code generation tasks.

Model Description

  • Base Model: unsloth/Qwen3-4B-Instruct-2507
  • Finetuning Technique: QLoRA (via Unsloth)
  • Objective: Generating pure structured code (HTML, SVG, Angular, etc.) without explanations or markdown fences.

Training Details

  • Dataset: Stratified SFT dataset (1,500 samples)
  • Task Types: HTML, Angular, React, SVG
  • Training Config:
    • Learning Rate: 2e-4
    • Batch Size: 16 (Global)
    • Epochs: 1
    • Optimizer: Paged AdamW (32-bit)

Intended Use

This model is specialized for generating structured code. It is designed to output ONLY the code.

License

This model follows the license of the base model (Qwen License).

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