---
license: apache-2.0
language:
- ar
- en
tags:
- real-estate
- information-extraction
- gguf
- qwen3
- fine-tuned
- egypt
base_model: Qwen/Qwen3.5-4B
---

# Qwen3.5-4B — Real Estate Call Analysis (Egyptian Market)

Fine-tuned version of Qwen3.5-4B for extracting structured information from real estate call transcripts in the Egyptian market. Supports English and Egyptian Arabic.

## What it does

Given a call transcript, the model extracts a structured JSON object with:

- Client name, sentiment, urgency, timeline
- Confidence score and transcript quality score
- Client profile, special requests, action items, call summary
- requested_units array with: intent, property type, location, currency, budget, payment method, area, bedrooms, finishing, key objection

## Training

- **Base model**: Qwen/Qwen3.5-4B
- **Method**: LoRA fine-tuning (r=16) via Unsloth
- **Dataset**: 650 real estate call transcripts (70% English, 30% Egyptian Arabic)
- **Sequence length**: 2048 tokens
- **Epochs**: 6

## Language support

- English call transcripts
- Egyptian Arabic call transcripts
- Mixed Arabic/English conversations