Beta

Explore
Marketplace
Neural Labs
Chat
Wallet
Docs

Beta

Explore Marketplace Neural Labs Wallet Docs

Build

Manage

My assets Manage wallet Organization

Community

Discord X (Twitter)Telegram

Docs Privacy Policy Terms and Conditions

Proud member of

Proud member of

Docs Cookie Policy

Privacy Policy Terms and Conditions

© 2026 AlphaNeural AI. All rights reserved.

CompassAI-G1 – AI Model by rafat234 | AlphaNeural AI

You can deploy this model and start earning money today!

rafat234/
CompassAI-G1

like

0

Qwen/Qwen2.5-3B-Instruct

Views

No views yet

🧭 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

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')