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: Jiangwen Su — Original model: Speechless Mistral Dolphin Orca Platypus Samantha 7B This repo contains AWQ model files for Jiangwen Su’s Speechless Mistral Dolphin Orca Platypus Samantha 7B. 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. — Text Generation Webui — using Loader: AutoAWQ — vLLM — Llama and Mistral models only — 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 and 8-bit GGUF models for CPU+GPU inference Jiangwen Su’s original…
Модальности:
Генерация текста
Области применения:
Генерация кода
Задача: Генерация текста
Автор: TheBloke
Теги: mistral, llama-2, code, en, model-index, text-generation-inference, 4-bit, awq
Лайков: 3 | Загрузок: 18
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
