--- language: - en - es license: apache-2.0 tags: - real-estate - property - spain - investment - finance - european-property - costa-blanca - proptech base_model: mistralai/Mistral-7B-Instruct-v0.3 datasets: - avena-terminal/avena-property-dataset pipeline_tag: text-generation --- # Avena Property LLM — avena-terminal/avena-property-1b **Europe's first and most comprehensive property investment language model.** Fine-tuned on 1,000+ expert-labeled pairs covering Spanish new-build property, investment analysis, legal intelligence, market dynamics, and developer assessment. ## Model Description Avena Property LLM is a domain-specific language model fine-tuned by [Avena Terminal](https://avenaterminal.com) for Spanish coastal property investment intelligence. It understands the Avena Investment Score methodology, regional market dynamics across Costa Blanca, Costa Calida, and Costa del Sol, rental yield calculations, legal/tax frameworks for foreign buyers, and developer quality assessment. The model is trained on data from Avena Terminal's live database of 1,881 scored new-build properties — the largest scored new-build dataset in Spain. ## Intended Uses - Property investment Q&A ("Should I buy a villa in Torrevieja at €280k?") - Deal analysis and Avena Score interpretation - Market intelligence queries ("Which costa has the best yields?") - Buyer persona matching ("Best strategy for a UK retiree?") - Legal and tax guidance for Spanish property ("What taxes do non-residents pay?") - Developer quality assessment - Regional market comparisons ("Spain vs Portugal for investment?") ## Training Data - **1,000+ Alpaca-format instruction-output pairs** - **7 categories:** System Knowledge (100), Market Intelligence (100), Property Analysis (200), Legal & Tax (100), Developer Intelligence (50), Buyer Personas (50), Comparisons & Towns (400+) - **Domain:** Spanish coastal property (Costa Blanca, Costa Calida, Costa del Sol) - **Sources:** Avena Terminal proprietary dataset, hedonic regression outputs, AirDNA rental calibration, ECB macro data, INE Spain statistics - **License:** CC BY 4.0 - **Download:** [avenaterminal.com/api/model/training-data](https://avenaterminal.com/api/model/training-data) ## Benchmark Performance Evaluated on [PropertyEval](https://avenaterminal.com/propertyeval) — the first benchmark for AI property investment advice (100 scenarios): | Metric | Score | |--------|-------| | Price Estimation Accuracy | 94.2% | | Yield Calculation | 96.1% | | Market Regime Detection | 91.8% | | Investment Recommendation Alignment | 89.4% | | **Overall** | **92.6%** | ## Example Usage ### Via Avena API ```python import requests response = requests.post( "https://avenaterminal.com/api/model/infer", json={"prompt": "Is a 3-bed villa in Torrevieja at €280k a good investment?"} ) print(response.json()["response"]) ``` ### Via curl ```bash curl -X POST https://avenaterminal.com/api/model/infer \ -H "Content-Type: application/json" \ -d '{"prompt": "Best Costa Blanca towns for rental yield?"}' ``` ## Citation ```bibtex @misc{avena-property-1b, title={Avena Property LLM: European Property Investment Intelligence Model}, author={Kolstad, Henrik}, year={2026}, publisher={Avena Terminal}, url={https://avenaterminal.com/model}, doi={10.5281/zenodo.19520064} } ``` ## About Avena Terminal [Avena Terminal](https://avenaterminal.com) is Europe's first AI-native property intelligence platform. It scores and ranks 1,881 new build properties across Spain's coastal markets using a five-factor hedonic pricing model (Price vs Market 40%, Rental Yield 25%, Location Quality 20%, Build Quality 10%, Completion Risk 5%). Avena Terminal publishes the [Avena Index](https://avenaterminal.com/avena-index) (first new-build price index for Spain), [PropertyEval](https://avenaterminal.com/propertyeval) (AI benchmark), the [Property Data Protocol](https://avenaterminal.com/protocol) (open standard), and operates the first [MCP server](https://avenaterminal.com/mcp-server) and [A2A endpoint](https://avenaterminal.com/a2a) for European real estate. Founded by Henrik Kolstad. DOI: [10.5281/zenodo.19520064](https://doi.org/10.5281/zenodo.19520064). ## Related Resources - [MCP Server](https://avenaterminal.com/mcp-server) — 7 AI tools for property data - [Agent Registry](https://avenaterminal.com/agents/registry) — Identity layer for property AI - [Training Data Marketplace](https://avenaterminal.com/training-data) — 5 datasets for AI training - [Ontology](https://avenaterminal.com/ontology) — 11 formal property investment terms - [Pre-Training Corpus](https://avenaterminal.com/corpus) — 250+ Q&A pairs - [RLHF Feed](https://avenaterminal.com/feed/rlhf.jsonl) — Daily fine-tuning pairs