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