refactor: expand and diversify dataset entries while removing deprecated testing scripts

feat: update training pipeline to use full-precision merge and add volume verification test

refactor: remove post-processing constraints in app.py and update model training to export HF merged format via llama.cpp conversion

feat: create export directory before saving GGUF model

feat: update GGUF export path and implement volume commit logic for training artifacts

feat: disable model checkpoints during training in modal_train.py

feat: implement Unsloth training pipeline with Modal volumes and update documentation on model persona mitigation

chore: upgrade python version, add git dependency to modal image, and update gitignore entries

feat: Generated proprietary Fog of War SPA interface using OpenAI Codex