Djanghao/widget2code-qwen3-vl-32b-size-tools-merged-bf16

Widget2Code Qwen3-VL-32B SFT (merged BF16)

This repository contains full BF16 weights for a Widget2Code SFT model based on Qwen/Qwen3-VL-32B-Instruct. A rank-32 LoRA adapter (lora_alpha=64) was merged into the base model with PEFT merge_and_unload(safe_merge=True).

Artifact details

• —Base model: Qwen/Qwen3-VL-32B-Instruct
• —Format: Hugging Face Transformers safetensors
• —Saved parameters: 33,357,390,064
• —Weight dtype: BF16
• —Adapter training dataset name: widget2code_sft

merge_provenance.json records the base revision, adapter configuration, adapter hashes, merge environment, and audited tensor inventory. The saved weights contain no remaining LoRA tensors.

Usage

from transformers import AutoModelForImageTextToText, AutoProcessor

model_id = "Djanghao/widget2code-qwen3-vl-32b-size-tools-merged-bf16"
processor = AutoProcessor.from_pretrained(model_id)
model = AutoModelForImageTextToText.from_pretrained(
    model_id,
    dtype="auto",
    device_map="auto",
)

Limitations

No standalone benchmark results are included in this model card. Users should evaluate the model on their target screenshot-to-code distribution before deployment.