README.md

metadata

language:
  - en
  - ar
base_model: Qwen/Qwen2.5-3B-Instruct
tags:
  - peft
  - lora
  - gis
  - arcgis
  - compass-ai
  - geospatial
license: apache-2.0

🧭 CompassAI — Qwen2.5-3B GIS LoRA

Fine-tuned version of Qwen/Qwen2.5-3B-Instruct for GIS intent detection and ArcGIS JS API 4.x code generation.

Training Details

• Method: QLoRA (4-bit quantization + LoRA rank 16)
• Task: Natural language → GIS API call (JSON)
• Languages: English + Arabic
• Base model: Qwen/Qwen2.5-3B-Instruct

Supported Intents

• select_by_attribute — SQL-based feature filtering
• select_by_location — Spatial proximity queries
• count_aggregate — Statistical summaries
• zoom_navigate — Map navigation
• layer_toggle — Layer visibility control
• spatial_filter — Polygon-based selection

Usage

from transformers import AutoTokenizer, AutoModelForCausalLM
from peft import PeftModel

base_model = AutoModelForCausalLM.from_pretrained('Qwen/Qwen2.5-3B-Instruct')
model = PeftModel.from_pretrained(base_model, 'rafat234/compass-ai-qwen2.5-3b-gis-lora')
tokenizer = AutoTokenizer.from_pretrained('rafat234/compass-ai-qwen2.5-3b-gis-lora')