rafat234

CompassAI-G1

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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

python
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')