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Diffu 0.2 Adapter

diffu-0.2 is a fine-tuned vision-language model for structured data extraction from Spanish invoice images. Built by V10 Labs, it extracts supplier details, tax IDs, amounts, and dates from invoice photographs and scans.

ArtLoRABasismodellQwen/Qwen3-VL-4B-InstructVersionadapter_modelCBewertung

Modellquelle

Art
LoRA
Dateigröße
504 MB
Basismodell
Qwen/Qwen3-VL-4B-Instruct
Version
vadapter_model
Aktualisiert
18. Sept. 2026
Downloads
8
Quelle
Hugging Face

Quellenbeschreibung

diffu-0.2 — Spanish Invoice Data Extractor (Vision)

diffu-0.2 is a fine-tuned vision-language model for structured data extraction from Spanish invoice images. Built by V10 Labs, it extracts supplier details, tax IDs, amounts, and dates from invoice photographs and scans.

Performance

ModelAccuracyType
diffu-0.2 (this model)93.39%Fine-tuned, vision
diffu-0.1 (V10 Labs)92.82%Fine-tuned, text-only
Claude Sonnet 4.661.6%Generalist, zero-shot
Qwen3-VL-4B (base)54.4%Generalist, zero-shot

Per-Field Accuracy

FieldAccuracy
supplier92.06%
supplier_cif94.12%
invoice_number91.35%
date95.33%
subtotal92.06%
tax_total89.25%
total92.99%
doc_type100.00%

Model Details

  • Base model: Qwen/Qwen3-VL-4B-Instruct
  • Method: LoRA (r=64, alpha=128)
  • Target modules: q_proj, v_proj, k_proj, o_proj, gate_proj, up_proj, down_proj
  • Training: 2 epochs, LR=1e-4, effective batch size 16
  • Image resolution: 256-1280 × 28 × 28 pixels
  • Adapter size: 504 MB
  • Peak VRAM: 22.57 GB (training), ~10 GB (inference)
  • Parse failures: 0%

Output Format

Usage

About V10 Labs

V10 Labs builds AI-powered financial intelligence for SMBs in Spain. We train purpose-built models that outperform general-purpose LLMs on domain-specific tasks like invoice processing, accounting classification, and financial analysis.

v10labs.com

Quellen

1 Quelle
Hugging FacePrimärVersion d3d39165a277d9ab7d1857b8d50bf6fd8ad8acd2
huggingface.co/V10LabsAI/diffu-0.2-adapter/tree/d3d39165a277d9ab7d1857b8d50bf6fd8ad8acd2

Verifiziert 3. Sept.

Modellartefakte

1 Artefakt

adapter_model.safetensors

safetensors · 504 MB · SHA-256 aa9511af7d9b…dea2 · Hugging Face

Download file

Quellenauszüge

2 Auszüge

--- language: - es license: apache-2.0 library_name: peft base_model: Qwen/Qwen3-VL-4B-Instruct tags: - invoice-extraction - ocr - spanish - lora - vision - finance pipeline_tag: image-to-text --- # diffu-0.2 — Spanish Invoice Data Extractor (Vision) **diffu-0.2** is a fine-tuned vision-language model for structured data extraction from Spanish invoice images. Built by [V10 Labs](https://v10labs.com), it extracts supplier details, tax IDs, amounts, and dates from invoice photographs and scans. ## Performance | Model | Accuracy | Type | |-------|----------|------| | **diffu-0.2 (this model)** | **93.39%** | Fine-tuned, vision | | diffu-0.1 (V10 Labs) | 92.82% | Fine-tuned, text-only | | Claude Sonnet 4.6 | 61.6% | Generalist, zero-shot | | Qwen3-VL-4B (base) | 54.4% | Generalist, zero-shot | ### Per-Field Accuracy | Field | Accuracy | |-------|----------| | supplier | 92.06% | | supplier_cif | 94.12% | | invoice_number | 91.35% | | date | 95.33% | | subtotal | 92.06% | | tax_total | 89.25% | | total | 92.99% | | doc_type | 100.00% | ## Model Details - **Base model**: Qwen/Qwen3-VL-4B-Instruct - **Method**: LoRA (r=64, alpha=128) - **Target modules**: q_proj, v_proj, k_proj, o_proj, gate_proj, up_proj, down_proj - **Training**: 2 epochs, LR=1e-4, effective batch size 16 - **Image resolution**: 256-1280 × 28 × 28 pixels - **Adapter size**: 504 MB - **Peak VRAM**: 22.57 GB (training), ~10 GB (inference) - **Parse failures**: 0% ## Output Format ## Usage ## About V10 Labs V10 Labs builds AI-powered financial intelligence for SMBs in Spain. We train purpose-built models that outperform general-purpose LLMs on domain-specific tasks like invoice processing, accounting classification, and financial analysis. [v10labs.com](https://v10labs.com)

Source context: 8 downloads · 0 likes · Pipeline image-to-text · Library peft · Repo V10LabsAI/diffu-0.2-adapter