Chat & support: TheBloke’s Discord server Want to contribute? TheBloke’s Patreon page TheBloke’s LLM work is generously supported by a grant from andreessen horowitz (a16z) — Model creator: bofenghuang — Original model: Vigogne 2 13B Instruct This repo contains GPTQ model files for bofenghuang’s Vigogne 2 13B Instruct. Multiple GPTQ parameter permutations are provided; see Provided Files below for details of the options provided, their parameters, and the software used to create them. AWQ model(s) for GPU inference. GPTQ models for GPU inference, with multiple quantisation parameter options. 2, 3, 4, 5, 6 and 8-bit GGUF models for CPU+GPU inference bofenghuang’s original unquantised fp16 model in pytorch format, for GPU inference and for further conversions Multiple quantisation parameters are provided, to allow you to choose the best one for your hardware and requirements. Each separate quant is in a different branch. See below for instructions on fetching from different branches. All recent GPTQ files are made with AutoGPTQ, and all files in non-main branches are made with AutoGPTQ. Files in the main branch which were uploaded before August 2023 were made with…
Модальности:
Генерация текста
Области применения:
Следование инструкциям
Задача: Генерация текста
Автор: TheBloke
Теги: llama, LLM, llama-2, fr, text-generation-inference, 4-bit, gptq
Лайков: 3 | Загрузок: 80
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
