| --- |
| 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](https://huggingface.co/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') |
| ``` |
|
|
