Japanese StableLM Gamma 7B

The Japanese StableLM Base Gamma 7B is a specialized language model developed for Japanese text processing, leveraging its decoder-only transformer architecture to predict the next word in a sequence effectively. Trained on an extensive dataset of around 100 billion Japanese tokens, including diverse sources like Wikipedia and OSCAR, it supports a wide range of Japanese language styles. While excelling in generating coherent text and handling language modeling tasks, it also holds potential for fine-tuning across various applications such as text classification and machine translation. Despite its strengths, the model requires careful deployment due to potential biases in training data and its limitations in contextual comprehension compared to encoder-decoder models.

Japanese StableLM Gamma 7B is a model in the Japanese StableLM family. The structured metadata tracks a 8k-token context window. This page tracks provider routes through Fireworks AI, with the cheapest tracked route listed at $0.2 input and $0.2 output per 1M tokens. No headline benchmark score is tracked for Japanese StableLM Gamma 7B yet.