Оригинальная модель: https://huggingface.co/Gryphe/Tiamat-8b-1.2-Llama-3-DPO Все кванты сделаны с использованием опции imatrix с набором данных, предоставленным Kalomaze здесь Если модель больше 50 ГБ, она будет разделена на несколько файлов. In order to download them all to a local folder, run: You can either specify a new local-dir (Tiamat-8b-1.2-Llama-3-DPO-Q8_0) or download them all in place (./) A great write up with charts showing various performances is provided by Artefact2 here The first thing to figure out is how big a model you can run. To do this, you’ll need to figure out how much RAM and/or VRAM you have. If you want your model running as FAST as possible, you’ll want to fit the whole thing on your GPU’s VRAM. Aim for a quant with a file size 1-2GB smaller than your GPU’s total VRAM. If you want the absolute maximum quality, add both your system RAM and your GPU’s VRAM together, then similarly grab a quant with a file size 1-2GB Smaller than that total. Next, you’ll need to decide if you want to use an ‘I-quant’ or a ‘K-quant’. If you don’t want to think too much, grab one of the K-quants. These are in format ‘QXKX’, like Q5KM. If you want to get more into the weeds, you can check…
Модальности:
Генерация текста
Области применения:
Диалог / чат
Задача: Генерация текста
Автор: bartowski
Теги: gguf, en, endpoints_compatible, imatrix, conversational
Лайков: 3 | Загрузок: 767
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
