UVIA is a specialized language model for Brazilian viticulture, enology, and wine production. Developed through incremental fine-tuning and strategic rebalancing, UVIA v1.3 achieves perfect scores (1.0) in Brazilian focus and professional structure metrics.

🌟 Key Features

🏆 Brazilian Specialization: Perfect score (1.0) in Brazilian viticulture expertise
⚡ Edge Computing: Designed for offline operation in remote vineyards
💰 Zero Operational Cost: Free inference after initial setup
🔒 Total Privacy: Local data processing, no cloud dependency
🧠 Agriculture 4.0 Ready: Native IoT integration and agentified systems
📈 Superior Performance: 138% improvement over previous versions

📊 Benchmark Results

Local Benchmarks (vs Qwen3-8B)

Metric	UVIA v1.3	Qwen3-8B	Improvement
Overall Score	0.950	0.890	+6.7%
Relevance	0.950	0.865	+9.8%
Technical	1.000	1.000	0%
Brazilian Focus	1.000	0.917	+9.1%
Structure	1.000	0.667	+50%
Completeness	0.900	0.778	+15.7%

Rebalancing Results (v1.1 → v1.3)

Overall Score: 0.420 → 1.000 (+138%)
Brazilian Focus: 0.60 → 1.00 (+67%)
Structure: 0.00 → 1.00 (+∞%)

OpenAI Models Comparison

Model	Quality Score	Brazilian Expertise	Cost/1000 queries	Speed
UVIA v1.3	0.825	1.000 (Perfect)	$0.00	Medium
GPT-4.1	0.880	0.780 (Good)	$0.03	Medium
GPT-5.2	0.920	0.820 (Very Good)	$0.05	Fast
GPT-4.1 mini	0.650	0.600 (Limited)	$0.002	Very Fast

🚀 Use Cases

Brazilian Viticulture Applications

Technical Consulting: Specialized advice for Brazilian winemakers
Professional Education: Training materials for enologists and viticulturists
Market Analysis: Brazilian wine industry insights
Regulatory Guidance: IN 5/2010, IN 12/2010 compliance assistance

Agriculture 4.0 Features

Edge Computing: Offline operation in remote vineyards
IoT Integration: Direct connection with agricultural sensors
Autonomous Systems: Agentified decision-making for vineyards
Remote Monitoring: Vineyard analysis without internet connectivity

💻 Usage

With Ollama (Recommended)

bash

# Install Ollama
curl -fsSL https://ollama.ai/install.sh | sh

# Run UVIA v1.3
ollama run uvia-1-3

# Example query
"What are the best grape varieties for Brazilian tropical climates?"

With Transformers

python

from transformers import AutoTokenizer, AutoModelForCausalLM

# Load model and tokenizer
model_name = "uvia-br/UVIA-v1.3"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(model_name)

# Generate response
input_text = "Como identificar problemas de fermentação em vinhos brasileiros?"
inputs = tokenizer(input_text, return_tensors="pt")
outputs = model.generate(**inputs, max_length=512, temperature=0.7)
response = tokenizer.decode(outputs[0], skip_special_tokens=True)
print(response)

With Ollama API

python

import requests

response = requests.post('http://localhost:11434/api/generate',
    json={
        "model": "uvia-1-3",
        "prompt": "What are the main challenges in Brazilian viticulture?",
        "stream": False
    }
)

print(response.json()['response'])

📚 Model Details

Architecture

Base Model: Qwen3-8B
Fine-tuning: LoRA (Low-Rank Adaptation)
Quantization: GGUF Q8_0 (for edge deployment)
Context Length: 2048 tokens
Training Data: Brazilian viticulture dataset (Embrapa + academic sources)

Training Process

Initial Fine-tuning: Basic adaptation to viticulture domain
Incremental Improvement: Progressive enhancement of Brazilian focus
Strategic Rebalancing: Final optimization for perfect Brazilian specialization
Validation: Comprehensive benchmarking against generalist models

Key Improvements in v1.3

Prompt Rebalancing: Enhanced Brazilian terminology and professional orientation
Ethical Guidelines: Strong emphasis on qualified Brazilian professionals
Structure Optimization: Consistent markdown formatting for professional responses
Edge Optimization: Adapted for low-resource environments

🎯 Capabilities

Brazilian Viticulture Expertise

Grape Varieties: Tannat, Cabernet Sauvignon, Chardonnay, Bordô
Regions: Serra Gaúcha, Vale dos Vinhedos, São Roque, Campanha
Regulations: Brazilian wine laws and certifications
Production Techniques: Traditional and modern vinification methods
Market Knowledge: Brazilian wine industry trends and challenges

Professional Features

Technical Accuracy: Precise terminology and current knowledge
Ethical Orientation: Always recommends consulting qualified professionals
Cultural Context: Deep understanding of Brazilian wine culture
Practical Advice: Actionable recommendations for viticulturists

⚖️ License

This model uses dual licensing:

Code License (Apache 2.0)

Applies to: Scripts, utilities, documentation
Permissions: Free use, modification, and distribution
File: LICENSE_CODE

Weights License (Custom)

Applies to: Model weights and parameters
Restrictions: Inference-only, no fine-tuning, no derivatives
File: LICENSE_WEIGHTS

Important: The model weights are licensed under restrictive terms to protect the specialized Brazilian training investment. Commercial use for inference is permitted, but fine-tuning, model merging, or derivative creation is strictly prohibited.

📖 Citation

If you use UVIA v1.3 in your research or applications, please cite:

bibtex

@misc{gandolfi2026uvia,
  title={UVIA v1.3: A Specialized Language Model for Brazilian Viticulture and Enology},
  author={Daniel Gandolfi},
  year={2026},
  publisher={Laboratório IA Uvia SLM},
  url={https://huggingface.co/uvia-br/UVIA-v1.3}
}

📄 Academic Papers

Portuguese: UVIA v1.3 Paper (Portuguese)
English: UVIA v1.3 Paper (English)
Benchmarks: Complete Evaluation Report

🤝 Contributing

While the model weights have restricted licensing, we welcome contributions to:

Documentation improvements
Usage examples
Brazilian viticulture data validation
Edge computing optimizations

📞 Contact

Author: Daniel Gandolfi
Institution: UvIA
Email: contato@uvia.com.br
Website: vinogandolfi.com.br
GitHub: uvia-br

🙏 Acknowledgments

Embrapa: Brazilian agricultural research data
Academic Community: Brazilian enology and viticulture researchers
Wine Industry: Brazilian viticulturists and winemakers
Qwen Team: Base model development
Ollama: Inference optimization

UVIA v1.3: Setting the standard for specialized AI in Brazilian agriculture 🇧🇷

Developed with ❤️ for the Brazilian viticulture community

uvia/uvia1.3

UVIA v1.3 - Specialized Language Model for Brazilian Viticulture and Enology