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) This repo contains AWQ model files for Argilla’s Notux 8X7B v1. These files were quantised using hardware kindly provided by Massed Compute. For AutoAWQ inference, please install AutoAWQ 0.1.8 or later. Support via Transformers is coming soon, via this PR: https://github.com/huggingface/transformers/pull/27950 which should be merged to Transformers main very soon. TGI: I tested version 1.3.3 and it loaded the model fine, but I was not able to get any output back. Further testing/debug is required. (Let me know if you get it working!) AWQ is an efficient, accurate and blazing-fast low-bit weight quantization method, currently supporting 4-bit quantization. Compared to GPTQ, it offers faster Transformers-based inference with equivalent or better quality compared to the most commonly used GPTQ settings. AWQ models are currently supported on Linux and Windows, with NVidia GPUs only. macOS users: please use GGUF models instead. AWQ models are supported by (note that not all of these may support Mixtral models…
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Задача: Генерация текста
Автор: TheBloke
Теги: mixtral, dpo, rlaif, preference, ultrafeedback, conversational, en, de
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Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
