This is a stock Hugging Face Phi3ForCausalLM that renders DOOM through ordinary autoregressive inference. The model and the data-only fast tokenizer load through the ordinary Transformers text-generation pipeline without remote code. The bundled examples/e1m1prompt.txt is the executable prompt. Run infer.py (at the bundle root) to produce canonical emitted row ids and raw tokenizer text. tools/prettytext.py formats that text for reading, while tools/txttopng.py independently decodes its cursor/pixel protocol into a PNG — every cursor move and pixel in that protocol is a model-emitted token. The protocol is specified in PROTOCOL.md in the source repo. Neither post-processing tool participates in inference or performs geometry, visibility, lighting, texture selection, or sorting. Ordinary Transformers pipeline inference works directly, with no custom or remote model code: The saved generation defaults are greedy and cover the complete frame. Use the shipped infer.py when canonical integer row IDs, progress reporting, and the exact terminal-token-preserving raw text are required. Published checkpoints: 320×200 and 80×50. The compiler-facing source is torchwright_doom. This bundle:…
Модальности:
Генерация текста
Задача: Генерация текста
Автор: physicsrob
Теги: phi3, text-generation-inference, endpoints_compatible
Лайков: 3 | Загрузок: 11
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
