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: FBL — Original model: Una Xaberius 34B v1Beta This repo contains AWQ model files for FBL’s Una Xaberius 34B v1Beta. These files were quantised using hardware kindly provided by Massed Compute. 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. — Text Generation Webui — using Loader: AutoAWQ — vLLM — version 0.2.2 or later for support for all model types. — Hugging Face Text Generation Inference (TGI) — Transformers version 4.35.0 and later, from any code or client that supports Transformers — AutoAWQ — for use from Python code AWQ model(s) for GPU inference. GPTQ models for GPU inference, with multiple quantisation parameter options. 2, 3, 4, 5, 6…
Модальности:
Генерация текста
Задача: Генерация текста
Автор: TheBloke
Теги: llama, UNA, juanako, cybertron, xaberius, text-generation-inference, 4-bit, awq
Лайков: 3 | Загрузок: 21
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
