39 lines
1.3 KiB
Markdown
39 lines
1.3 KiB
Markdown
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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")
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