{ "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" ] }