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Model: markrodrigo/Llama-3.2-3B-Instruct-Spatial-SQL-1.1 Source: Original Platform
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README.md
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README.md
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---
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license: llama3.2
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base_model: meta-llama/Meta-Llama-3.2-3B
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language:
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- en
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pipeline_tag: text-generation
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tags:
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- code
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- spatial
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- sql
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- GIS
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- PostGIS
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---
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**ENGLISH ONLY - Use 8b models for alternate languages.**
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### Model Information
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This model, Llama-3.2-3B-Instruct-Spatial-SQL-1.1, is an 3B, narrow use case, text to spatial SQL, lightly fine-tuned model. In general, its primary use case
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is the Natural Language command adaptation of particular geographic spatial functions as normally defined in pure SQL. Data input should be a combination of an English prefix in the form of a question, and a coordinate prompt injection, likely from an active mapping system application coordinate list. Output is PostGIS spatial SQL.
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There are five primary geographic functions released in version 1.1.
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**Model developer**: Mark Rodrigo
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**Github**: https://github.com/mprodrigo/spatialsql
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**Model Architecture**: The model is a QLoRA / Supervised Fine Tuning (SFT)
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### Model Input / Output Overview:
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Input: Text plus coordinate prompt injection.
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</br>
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Output: **PostGIS spatial SQL**
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</br>
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NOTE: Inputs and outputs are in meters and or geographic decimal degrees WGS 84 coordinates.
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| Function | Question Input | Geo Input | SQL Execution Output |
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|:---------:|:----------------:|:---------:|:-------------------------:|
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| Area | Area question | Polygon | Number - Area sq meters |
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| Centroid | Center question | Polygon | Point |
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| Buffer | Buffer distance | Point | Polygon |
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| Length | Length question | Line | Number - Length in meters |
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</br>
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| Function | Question Input | Geo Input 1 | Geo Input 2 | SQL Execution Output |
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|:---------:|:----------------:|:-----------------------:|:-----------------------:|:-----------------------------------------------|
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| Distance | Distance question| Point, Line, or Polygon | Point, Line, or Polygon | Number - Distance between geometries in meters |
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### Example Prompt / Prompt File
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<|begin_of_text|><|start_header_id|>system<|end_header_id|>
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<p></p>
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You are a helpful assistant. You are an expert at PostGIS and Postgresql and SQL and psql.
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<p></p>
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<|eot_id|><|start_header_id|>user<|end_header_id|>
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\### Instruction: Write a PostGIS SQL statement for the following.
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<p></p>
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\### Input:
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<p></p>
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{input}
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<p></p>
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\### Response:
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<|eot_id|><|start_header_id|>assistant<|end_header_id|>
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### Examples
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AREA
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<p></p>
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\### Input: What is the area for the polygon? : 'Polygon ((-3.7515154 40.3855551, -3.7514972 40.3856581, -3.7507005 40.3855767, -3.7507167 40.3854722, -3.7515154 40.3855551))'
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<p></p>
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\### Response: SELECT ST_Area(geog) As area FROM (select 'Polygon ((-3.7515154 40.3855551, -3.7514972 40.3856581, -3.7507005 40.3855767, -3.7507167 40.3854722, -3.7515154 40.3855551))' :: geography geog) subquery;
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<p></p>
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CENTROID
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<p></p>
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\### Input: What is the centroid for the polygon? : 'Polygon ((-3.6934636 40.4808785, -3.6933352 40.4811486, -3.6930125 40.4810598, -3.693141 40.4807897, -3.6934636 40.4808785))'
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<p></p>
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\### Response: SELECT ST_AsText(ST_Centroid(geog)) As centroid FROM (select 'Polygon ((-3.6934636 40.4808785, -3.6933352 40.4811486, -3.6930125 40.4810598, -3.693141 40.4807897, -3.6934636 40.4808785))' :: geography geog) subquery;
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BUFFER
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<p></p>
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\### Input: What is the thousand meter buffer for the following point? : 'Point(-8.7522658 41.3862664)'
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<p></p>
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\### Response: SELECT ST_AsText(ST_Buffer(geog, 1000)) as buffer FROM (select 'Point(-8.7522658 41.3862664)' :: geography geog) subquery;
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<p></p>
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LENGTH
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<p></p>
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\### Input: How long is the line? : 'LINESTRING (-3.6976693 40.4263178, -3.6986082 40.4258729)'
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<p></p>
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\### Response: SELECT ST_Length(geog) As length FROM (select 'LINESTRING (-3.6976693 40.4263178, -3.6986082 40.4258729)' :: geography geog) subquery;
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<p></p>
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DISTANCE
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<p></p>
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\### INPUT: How far apart is the point and line? : 'Point(-109.87549823 38.60574249)' 'LineString(-109.24324628 38.76349931, -109.4821773 38.6875815)'
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<p></p>
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\### Response: SELECT ST_Distance(gg1, gg2) As distance FROM (select 'Point(-109.87549823 38.60574249)' :: geography gg1, 'LineString(-109.24324628 38.76349931, -109.4821773 38.6875815)' :: geography gg2) subquery;
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<p></p>
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### A Few Known Question Variation Examples
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<p></p>
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AREA
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<p></p>
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What is the area for the geometry?
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<p></p>
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What is the area for this polygon?
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<p></p>
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CENTROID
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<p></p>
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What is the centroid for the geometry?
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<p></p>
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What is the center point of the polygon?
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<p></p>
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BUFFER
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<p></p>
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What is the 100 meter buffer for the following point?
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<p></p>
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Buffer the following point a thousand meters.
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<p></p>
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What is the 1000 meter buffer for the following point?
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<p></p>
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LENGTH
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<p></p>
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What is the length of the line?
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<p></p>
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How long is this line?
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<p></p>
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DISTANCE
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<p></p>
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The distance between the polygon and the line is?
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<p></p>
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What is the distance between the points?
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<p></p>
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How far apart are the two lines?
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### llama.cpp / Hyperparameter Recommendations For Inference
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max context ~ 8,000 or lower
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<p></p>
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top k ~ 100
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<p></p>
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temp ~ .4-.5 or lower
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### Agent Considerations
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Agents are being considered as a separate project. Agents would mostly be related to pulling the coordinates from a mapping UI, and executing the SQL from responses against a PostGIS database.
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### Further Reference - link this
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https://postgis.net/docs/manual-3.3/PostGIS_Special_Functions_Index.html#PostGIS_GeographyFunctions
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### Evaluation data
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More information needed
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### Training data
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Custom synthetic
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-4
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- train_batch_size: 10
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- eval_batch_size: 3
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- distributed_type: multi-GPU
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- num_devices: 2
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- optimizer: Adam 8bit
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- lr_scheduler_type: linear
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- num_epochs: 5
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### Training results
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| Training Loss | Step | Validation Loss |
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|:-------------:|:----:|:---------------:|
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| 0.8115 | 10 | 0.6781 |
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| 0.6433 | 20 | 0.6173 |
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| 0.6182 | 30 | 0.5445 |
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| 0.4994 | 40 | 0.4888 |
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| 0.4911 | 50 | 0.4265 |
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| 0.4791 | 60 | 0.3477 |
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| 0.3605 | 70 | 0.3096 |
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| 0.3493 | 80 | 0.2850 |
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| 0.3344 | 90 | 0.2604 |
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| 0.1718 | 100 | 0.2508 |
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### Framework versions
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- Transformers 4.46.1
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- Pytorch 2.5.1
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- peft 0.13.2
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- Datasets 3.1.0
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- Tokenizers 0.21.0
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config.json
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config.json
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{
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"_name_or_path": "meta-llama/Llama-3.2-3B-Instruct",
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"architectures": [
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"LlamaForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": 128000,
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"eos_token_id": [
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128001,
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128008,
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128009
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],
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"head_dim": 128,
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"hidden_act": "silu",
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"hidden_size": 3072,
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"initializer_range": 0.02,
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"intermediate_size": 8192,
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"max_position_embeddings": 131072,
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"mlp_bias": false,
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"model_type": "llama",
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"num_attention_heads": 24,
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"num_hidden_layers": 28,
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"num_key_value_heads": 8,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-05,
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"rope_scaling": {
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"factor": 32.0,
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"high_freq_factor": 4.0,
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"low_freq_factor": 1.0,
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"original_max_position_embeddings": 8192,
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"rope_type": "llama3"
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},
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"rope_theta": 500000.0,
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"tie_word_embeddings": true,
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"torch_dtype": "float16",
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"transformers_version": "4.46.1",
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"use_cache": true,
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"vocab_size": 128256
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}
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generation_config.json
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"bos_token_id": 128000,
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"do_sample": true,
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"eos_token_id": [
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128001,
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128008,
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128009
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"temperature": 0.6,
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"top_p": 0.9,
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"transformers_version": "4.46.1"
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}
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"model.layers.9.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.norm.weight": "model-00002-of-00002.safetensors"
|
||||
}
|
||||
}
|
||||
17
special_tokens_map.json
Normal file
17
special_tokens_map.json
Normal file
@@ -0,0 +1,17 @@
|
||||
{
|
||||
"bos_token": {
|
||||
"content": "<|begin_of_text|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"eos_token": {
|
||||
"content": "<|eot_id|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"pad_token": "<|eot_id|>"
|
||||
}
|
||||
BIN
tokenizer.json
(Stored with Git LFS)
Normal file
BIN
tokenizer.json
(Stored with Git LFS)
Normal file
Binary file not shown.
2063
tokenizer_config.json
Normal file
2063
tokenizer_config.json
Normal file
File diff suppressed because it is too large
Load Diff
Reference in New Issue
Block a user