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.
Source du modèle
- Type
- LoRA
- Taille du fichier
- 504 MB
- Modèle de base
- Qwen/Qwen3-VL-4B-Instruct
- Version
- vadapter_model
- Mis à jour
- 18 sept. 2026
- Téléchargements
- 8
- Source
- Hugging Face
Description de la source
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
| 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.
Sources
1 source
Sources
1 sourceVérifié 3 sept.
Artefacts du modèle
1 artefact
Artefacts du modèle
1 artefactadapter_model.safetensors
safetensors · 504 MB · SHA-256 aa9511af7d9b…dea2 · Hugging Face
Download fileExtraits de sources
2 extraits
Extraits de sources
2 extraits--- 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
