| 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 | |