This is quantized version of google/gemma-2-2b-jpn-it created using llama.cpp — Responsible Generative AI Toolkit — Gemma 2 JPN on Kaggle — Gemma 2 JPN on Hugging Face Summary description and brief definition of inputs and outputs. Gemma is a series of best-in-class open models and draws inspiration and technological lineage from the Gemini family of models. They are text-to-text, decoder-only large language models with open weights. Gemma models are well-suited for a variety of text generation tasks, including question answering, summarization, and reasoning. Gemma-2-JPN is a Gemma 2 2B model fine-tuned on Japanese text. It supports the Japanese language with the same level of performance of English only queries on Gemma 2. Below we share some code snippets on how to get quickly started with running the model. First, install the Transformers library with: Then, copy the snippet from the section that is relevant for your usecase. The native weights of this model were exported in bfloat16 precision. You can also use float32 if you skip the dtype, but no precision increase will occur (model weights will just be upcasted to float32). See examples below. — Input: Text string,…
Модальности:
Генерация текста
Области применения:
Диалог / чат
Задача: Генерация текста
Автор: QuantFactory
Теги: gguf, conversational, ja, endpoints_compatible
Лайков: 3 | Загрузок: 504
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
