---
language: en
license: apache-2.0
tags:
- neo4j
- cypher
- construction
- fine-tuned
base_model: mistralai/Mistral-7B-v0.1
---

# Mistral-7B Cypher - Voronode Construction

Fine-tuned Mistral-7B model for generating Neo4j Cypher queries for construction management systems.

## Model Details

- **Base Model**: Mistral-7B-v0.1
- **Fine-tuning Method**: LoRA (Low-Rank Adaptation)
- **Training Data**: 33 construction-specific Cypher examples
- **Domain**: Construction Management & Neo4j Graph Databases

## Usage
```python
from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("baderanaas/mistral-cypher-voronode")
tokenizer = AutoTokenizer.from_pretrained("baderanaas/mistral-cypher-voronode")

prompt = "<s>[INST] Your Cypher query task here [/INST]"
inputs = tokenizer(prompt, return_tensors="pt")
outputs = model.generate(**inputs, max_new_tokens=256)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))
```

## Training Details

- **Epochs**: 3
- **Batch Size**: 16 (effective)
- **Learning Rate**: 2e-4
- **LoRA Rank**: 16
- **Max Sequence Length**: 2048

## Schema

The model is trained on construction management schemas including:
- Projects, Invoices, Contractors, Contracts
- Budgets, Budget Lines, Line Items
- Relationships between entities

## License

Apache 2.0