weighted/imatrix quants of https://huggingface.co/vanta-research/atom-80b For a convenient overview and download list, visit our model page for this model. static quants are available at https://huggingface.co/mradermacher/atom-80b-GGUF If you are unsure how to use GGUF files, refer to one of TheBloke’s READMEs for more details, including on how to concatenate multi-part files. (sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants) Here is a handy graph by ikawrakow comparing some lower-quality quant types (lower is better): And here are Artefact2’s thoughts on the matter: https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9 See https://huggingface.co/mradermacher/model_requests for some answers to questions you might have and/or if you want some other model quantized. I thank my company, nethype GmbH, for letting me use its servers and providing upgrades to my workstation to enable this work in my free time. Additional thanks to @nicoboss for giving me access to his private supercomputer, enabling me to provide many more imatrix quants, at much higher quality, than I would otherwise be able to.
Модальности:
Генерация текста
Области применения:
Логика и рассуждение Диалог / чат
Задача: Генерация текста
Автор: mradermacher
Теги: gguf, qwen3, qwen3-next, qwen, vanta-research, cognitive-configuration, instruction-following, cognitive-ai
Лайков: 4 | Загрузок: 661
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
