gardiner

Gardiner — Experimental Hieroglyph Classification Model

🚧 Status: In Development
This model is actively evolving. Architecture, dataset and behavior may change in future versions.

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📝 Project Description

Gardiner is an experimental language model trained specifically on the Gardiner Sign List, the classification system of Egyptian hieroglyphs created by the Egyptologist Sir Alan Gardiner.

The goal of this project is to provide a lightweight, local model capable of:

• answering questions about the Gardiner classification system
• identifying sign categories (A, B, C, …)
• providing general information about hieroglyph groups
• supporting educational and exploratory use cases

This model is distributed in GGUF format, making it compatible with:

• Ollama
• llama.cpp
• LM Studio
• any local inference engine supporting GGUF

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🔧 Capabilities

• Understands the structure of the Gardiner Sign List
• Can respond to questions about hieroglyph categories
• Provides explanations about sign groups and their classification
• Lightweight and optimized for local inference
• Suitable for experimentation and Egyptology‑related projects

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📦 Current Version

• Version: 0.5
• Format: GGUF
• Training Data: Gardiner Sign List (classification only)
• License: MIT

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🚧 Work in Progress

Planned improvements include:

• Additional quantization formats
• Expanded dataset
• More detailed explanations for each sign group
• Improved documentation and usage examples
• Integration examples for Ollama and LM Studio

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⚠️ Notes

This model is not intended to translate hieroglyphs or perform full Egyptological analysis.
Its purpose is to assist with classification‑related questions and provide a compact, local tool for enthusiasts, students, and developers.

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