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license: cc0-1.0
base_model: Qwen/Qwen2.5-Coder-3B-Instruct
library_name: peft
tags: [lora, emergent-language, agent-communication, code]
---
# Glyph — trained LoRA adapters
Three LoRA adapters on Qwen2.5-Coder-3B for a seeded logographic agent-language:
- **speaker**: English task → glyph symbols
- **builder**: glyph symbols → Python code
- **translator**: glyph symbols → English
Results (seed=0): compositional decode 12/22, cold-model self-explanation 13/22,
byte reduction 98.8% vs English agent-to-agent. Code + demo:
https://github.com/robertkeus/glyph-ai
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