— Base Model: codellama/CodeLlama-7b-hf [1] — Finetuning Method: LoRA [2] — Dataset: alxxtexxr/indowebgen-dataset — Number of Epochs: 20 — Microbatch Size: 4 — Gradient Accumulation Step: 8 — LoRA Rank: 16 — LoRA Alpha: 32 — LoRA Target Modules: [qproj, vproj] Try running the inference code with the provided Google Colab notebook here. The inference code used is shown below: — The dataset used in training is limited to only 500 data, so the model performance may still not be optimal. — The model is designed to generate single-page static websites, constructed using HTML with internal CSS. — The content of the generated websites is dummy (including the images), so the users need to further customize the websites. — The generated websites leverage Bootstrap for the styling, Font Awesome for the icons, and dummyimage.com images for the dummy images.
Модальности:
Генерация текста
Задача: Генерация текста
Автор: alxxtexxr
Теги: llama, id, text-generation-inference, endpoints_compatible
Лайков: 3 | Загрузок: 27
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
