This is quantized version of ibm-granite/granite-3.0-1b-a400m-base created using llama.cpp Model Summary: Granite-3.0-1B-A400M-Base is a decoder-only language model to support a variety of text-to-text generation tasks. It is trained from scratch following a two-stage training strategy. In the first stage, it is trained on 8 trillion tokens sourced from diverse domains. During the second stage, it is further trained on 2 trillion tokens using a carefully curated mix of high-quality data, aiming to enhance its performance on specific tasks. — Developers: Granite Team, IBM — GitHub Repository: ibm-granite/granite-3.0-language-models — Website: Granite Docs — Paper: Granite 3.0 Language Models — Release Date: October 21st, 2024 — License: Apache 2.0 Supported Languages: English, German, Spanish, French, Japanese, Portuguese, Arabic, Czech, Italian, Korean, Dutch, and Chinese. Users may finetune Granite 3.0 models for languages beyond these 12 languages. Intended use: Prominent use cases of LLMs in text-to-text generation include summarization, text classification, extraction, question-answering, and more. All Granite Base models are able to handle these tasks as they were trained on…
Модальности:
Генерация текста
Задача: Генерация текста
Автор: QuantFactory
Теги: gguf, language, granite-3.0, model-index
Лайков: 4 | Загрузок: 124
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
