static quants of https://huggingface.co/StentorLabs/Portimbria-150M For a convenient overview and download list, visit our model page for this model. weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion. 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.
Модальности:
Генерация текста
Области применения:
Диалог / чат
Задача: Генерация текста
Автор: mradermacher
Теги: gguf, llama, small-language-model, efficient, edge-deployment, speculative-decoding, 150m-parameters, tpu-trained
Лайков: 3 | Загрузок: 420
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
