A large language model developed by the National Institute of Informatics in Japan, built on LLM-jp-3, and significantly improved the ability to follow instructions through instruction pre-training technology.

Natural Language ProcessingTransformersMultiple Languages

LLM-jp-3.1-1.8b is a large language model developed by the National Institute of Informatics in Japan. Based on the LLM-jp-3 series, it incorporates instruction pre-training to enhance the instruction-following ability.

Natural Language ProcessingTransformersMultiple Languages

LLM-jp-3.1-13b-instruct4 is a large language model developed by the National Institute of Informatics in Japan. It significantly improves the instruction-following ability through instruction pre-training and supports multiple languages such as Japanese and English.

Natural Language ProcessingTransformersMultiple Languages

A large-scale Japanese-English hybrid MoE language model developed by Japan's National Institute of Informatics, supporting an 8x13B parameter scale with instruction fine-tuning optimization

Natural Language ProcessingTransformersMultiple Languages

A large language model with 7.2 billion parameters, fine-tuned for instructions, developed by the Large Language Model R & D Center of the National Institute of Informatics in Japan. It is specifically optimized for Japanese and English and supports multilingual text generation and code understanding tasks.

Natural Language ProcessingTransformersMultiple Languages

A large language model developed by the National Institute of Informatics in Japan, focusing on Japanese and English tasks, with a parameter scale of 3.7B.

Natural Language ProcessingTransformersMultiple Languages

LLM-jp-3-440m is a 440M parameter version in the Japanese large language model series developed by the Large Language Model R & D Center of the National Institute of Informatics in Japan. This model is based on the Transformer architecture, supports multiple languages such as Japanese, English, Chinese, and Korean, and is pre - trained on a large - scale multilingual dataset.

Natural Language ProcessingTransformersMultiple Languages

A Japanese large language model with 7.2 billion parameters developed by the Large Language Model R & D Center of the National Institute of Informatics in Japan. Based on the Transformer architecture, it supports Japanese, English, Chinese, Korean, and code processing, and is released under the Apache 2.0 license.

Natural Language ProcessingTransformersMultiple Languages

A large-scale vision-language model developed by Japan's National Institute of Informatics, supporting Japanese and English with strong image understanding and text generation capabilities.

MultimodalSafetensorsJapanese

A large language model developed by the National Institute of Informatics in Japan, supporting Japanese and English, with instruction fine-tuning capabilities.

Natural Language ProcessingTransformersMultiple Languages

A large language model with 13 billion parameters, fine-tuned for instructions, developed by the Large Language Model R & D Center of the National Institute of Informatics in Japan. It supports multiple languages such as Japanese and English, as well as programming languages, and is optimized for dialogue and instruction following tasks.

Natural Language ProcessingTransformersMultiple Languages

A large language model developed by the National Institute of Informatics in Japan, supporting multiple languages such as Japanese and English, and suitable for natural language processing tasks.

Natural Language ProcessingTransformersMultiple Languages

A large language model developed by Japan's National Institute of Informatics, supporting Japanese and English, based on Transformer architecture with 13 billion parameters

Natural Language ProcessingTransformersMultiple Languages

Qra is a series of Polish-optimized large language models jointly developed by the Polish National Information Processing Institute and Gdańsk University of Technology, initialized based on TinyLlama-1.1B and trained on 90 billion Polish tokens

Natural Language ProcessingTransformers

NorMistral-7b-scratch is a large-scale language model specifically designed for Norwegian, developed in collaboration by the Language Technology Group at the University of Oslo, the HPLT project, the National Library of Norway, and the University of Turku. This model is based on the Mistral architecture, has 7 billion parameters, and was pre-trained from scratch on a Norwegian corpus of 260 billion subword tokens. It is an important part of the NORA.LLM series.

Natural Language ProcessingTransformersOther

FlauBERT is a French BERT model pretrained on a large-scale French corpus, developed by the French National Centre for Scientific Research (CNRS), offering different versions to accommodate various needs.

Natural Language ProcessingTransformersFrench

FlauBERT is a French BERT model trained on a large-scale French corpus, developed by the French National Center for Scientific Research.

Natural Language ProcessingTransformersFrench

FlauBERT is a French BERT model pre-trained on a large-scale French corpus, developed by the French National Center for Scientific Research.

Natural Language ProcessingTransformersFrench

Spanish large language model based on Transformer architecture, trained on web-crawled content from the Spanish National Library between 2009-2019

Natural Language ProcessingTransformersSpanish

This is a RoBERTa large model optimized for Spanish question answering tasks, trained on a large corpus from the Spanish National Library

Natural Language ProcessingTransformersSpanish