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developmentseed/gazet-model

sourceHugging Facemitupdated 5mo agoView on Hugging Face

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Model Card

Gazet Model

LoRA-finetuned Qwen3.5-0.8B for natural-language geocoding over Overture Maps and Natural Earth parquet datasets.

Two tasks:

—Place extraction: Given a user query, extract structured place names with optional country codes and subtypes
—Text-to-SQL: Given a user query and fuzzy-matched candidate entities, generate a DuckDB spatial SQL query

Files

File	Description
ckpt-q8_0.gguf	Q8_0 quantized GGUF (812 MB), ready for llama-server
merged/	Full merged safetensors (for re-quantization or further finetuning)

Usage

Serve with llama-server:

bash

# Download
hf download developmentseed/gazet-model ckpt-q8_0.gguf

# Serve
llama-server -m ckpt-q8_0.gguf -ngl 99 --port 9000 --ctx-size 2048

The model exposes /v1/chat/completions on port 9000.

Or use with the full gazet stack via Docker Compose (see gazet repo).

Training

yaml

Base model: unsloth/Qwen3.5-0.8B
Method: LoRA (r=16, alpha=32) via Unsloth
Data: developmentseed/gazet-dataset
Hardware: Single H200 on Modal (~2 hrs/epoch)
Optimizer: AdamW 8-bit, lr=1e-4, linear schedule
Max sequence length: 2048
Loss: Train on assistant responses only (Unsloth train_on_responses_only)
Full training code: github.com/developmentseed/gazet