README.md

---
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)