# Japanese enhancement

The Gemma-2-Llama-Swallow series of models are multilingual large models constructed through continuous pre-training based on Gemma-2, with a particular enhancement in Japanese ability.

A multilingual Gemma-2 model fused using the TIES method, integrating expertise from multiple specialized domains

Llama 3.3 Swallow is a large language model with 70 billion parameters, built on Meta Llama 3.3, which enhances Japanese capabilities while retaining English capabilities.

Llama 3.1 Swallow is a series of large language models built on Meta Llama 3.1. It enhances Japanese language capabilities through continuous pre-training while retaining English language capabilities.

Llama 3.1 Swallow is a series of large language models built on Meta Llama 3.1. It enhances Japanese capabilities through continuous pre-training while retaining English capabilities.

Llama 3.1 Swallow is a series of large language models that are continuously pre - trained based on the Meta Llama 3.1 model, enhancing Japanese capabilities while retaining English capabilities.

Swallow-MX-8x7b-NVE-v0.1 is a Mixture of Experts model based on Mixtral-8x7B-Instruct-v0.1 with continued pretraining, primarily enhancing Japanese capabilities.

KARAKURI LM is a pre-trained language model built on Llama 2, which enhances Japanese processing capabilities and is further pre-trained on Japanese and multilingual corpora.