File size: 2,314 Bytes
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"model-index": [
{
"name": "UVIA-v1.3",
"results": [
{
"task": {
"type": "text-generation",
"name": "Brazilian Viticulture QA"
},
"dataset": {
"name": "UVIA Brazilian Viticulture Dataset",
"type": "custom"
},
"metrics": [
{
"name": "Answer Relevancy",
"type": "custom",
"value": 0.95
},
{
"name": "Faithfulness",
"type": "custom",
"value": 1.0
},
{
"name": "Brazilian Expertise",
"type": "custom",
"value": 1.0
},
{
"name": "Professional Structure",
"type": "custom",
"value": 1.0
}
]
}
]
}
],
"model": {
"name": "UVIA v1.3",
"version": "1.3",
"release_date": "2026-01-19",
"author": "Daniel Gandolfi",
"contact": "daniel@uvia.ai",
"license": "UVIA Model Weights License v1.0",
"language": "Portuguese",
"specialization": "Brazilian Viticulture and Enology",
"base_model": "Qwen3-8B",
"fine_tuning": "LoRA",
"quantization": "GGUF Q8_0",
"context_length": 2048,
"edge_computing": true,
"agriculture_4_0": true
},
"training": {
"data_source": "Embrapa + Brazilian Academic Sources",
"data_size": "Comprehensive Brazilian Viticulture Dataset",
"methodology": "Incremental Fine-tuning + Strategic Rebalancing",
"improvement": "+138% over v1.1",
"validation": "Comprehensive Benchmarking"
},
"performance": {
"overall_score": 0.950,
"vs_qwen3_8b": "+6.7%",
"brazilian_focus": 1.0,
"structure_score": 1.0,
"relevance": 0.95
},
"use_cases": [
"Brazilian Viticulture Consulting",
"Enology Professional Education",
"Brazilian Wine Market Analysis",
"Regulatory Compliance (IN 5/2010, IN 12/2010)",
"Edge Computing in Vineyards",
"IoT Integration for Agriculture 4.0",
"Autonomous Vineyard Monitoring"
],
"limitations": [
"Portuguese language optimized",
"Brazilian viticulture focus",
"13.7s inference time",
"Local deployment recommended"
]
} |