Original model: https://huggingface.co/H-D-T/Buzz-8b-Large-v0.5 All quants made using imatrix option with dataset provided by Kalomaze here No chat template specified so default is used. This may be incorrect, check original model card for details. If the model is bigger than 50GB, it will have been split into multiple files. In order to download them all to a local folder, run: You can either specify a new local-dir (Buzz-8b-Large-v0.5-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.…
Модальности:
Генерация текста
Задача: Генерация текста
Автор: bartowski
Теги: gguf, axolotl, Alignment-Lab-AI, Meta-Llama-3, en, endpoints_compatible
Лайков: 3 | Загрузок: 1,115
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
