*, html, body, div { color: gray; background: black !important; border: none; } img { filter: contrast(1.3); user-select: none; transition: all 0.2s ease; border-radius: .5rem; display: block !important; margin: 1rem auto !important; } img:hover { transform: rotate(2deg); filter: invert(100%); } @import url(‘https://fonts.googleapis.com/css2?family=Vollkorn:ital,wght@0,400..900;1,400..900&display=swap’); In this repository, we propose the next iteration of arco, a new meta-le Now with qwen as the base architecture for improvements. During previous research, we first noticed a dramatic underpeformance on fewshot prompting from previous arco series (regardless of benchmark improvements on arc) so we decided that the main concept to work on was making a more robust fewshot learning by focusing directly on tasks that improve that skill with a stronger baseline model like qwen family. After several merging iterations with some openly available models, we finally achieved a strong baseline for a meta-learner model which we called arco-3. This model will serve as the starting point for future fewshot finetunings and experiments. We tested around 65 models…
Модальности:
Генерация текста
Задача: Генерация текста
Автор: appvoid
Теги: qwen3
Лайков: 3 | Загрузок: 0
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
