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--- |
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license: llama3.1 |
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language: |
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- en |
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- sql |
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- py |
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tags: |
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- gis |
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- geospatial |
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- fine-tuned |
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- unsloth |
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pipeline_tag: text-generation |
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--- |
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# 🗺️ Llama-3.1-8B-GIS-Expert |
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This model is a fine-tuned version of **Llama-3.1-8B-Instruct**, specialized for **Geospatial Analysis (GIS)**. |
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## 🧠 Capabilities |
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It has been trained on a multi-task dataset to handle three specific roles: |
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1. **PostGIS Expert:** Converts natural language questions into valid `PostgreSQL` / `PostGIS` SQL queries. |
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2. **Python GIS Developer:** Writes Python scripts using `geopandas`, `shapely`, and `rasterio`. |
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3. **Geospatial Analyst:** Explains spatial relationships and topology logic. |
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## 💻 How to Use |
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### System Prompts (Crucial) |
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To get the best results, you must use the correct System Prompt for the task: |
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* **For SQL:** "You are a PostGIS expert. Convert the question into a SQL query." |
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* **For Python:** "You are a Python GIS developer. Write a script to solve the geospatial problem." |
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* **For Reasoning:** "You are a Geospatial Analyst. Explain the spatial relationship." |
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### Example Code |
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```python |
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from transformers import AutoModelForCausalLM, AutoTokenizer |
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model_id = "kumarprince070107/Llama-3.1-8B-GIS-v2" |
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tokenizer = AutoTokenizer.from_pretrained(model_id) |
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model = AutoModelForCausalLM.from_pretrained(model_id, device_map="auto") |
