metadata
license: cc0-1.0
base_model: Qwen/Qwen2.5-Coder-3B-Instruct
library_name: peft
tags:
- lora
- emergent-language
- agent-communication
- code
- multi-task
Glyph v2 — multi-task LoRA (speaker · builder · translator in one adapter)
Finetuned on 40,592 pairs over a 68-primitive typed glyph language (dataset: robertkeus/glyph-tasks, sft2.jsonl). One adapter, three roles by instruction prompt:
Encode this task as glyph symbols.\nTask: {english}\nSymbols:Write Python for this glyph message.\nSymbols: {glyphs}\nCode:Translate this glyph message into English.\nSymbols: {glyphs}\nEnglish:
Results (seed 0, 3 epochs, Kaggle T4, LoRA r=32 all-linear)
| metric | score |
|---|---|
| builder: glyphs → correct code, HELD-OUT compositions (tests executed) | 99.5% |
| speaker: UNSEEN phrasings → exact glyph message | 86.5% |
| zero-shot symbols (never trained) | 2% |
Code + demo: https://github.com/robertkeus/glyph-ai