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Stability AI Releases Two Japanese-based LLMs
Stability AI Releases Two Japanese-based LLMs

Stability AI Releases Two Japanese-based LLMs

These models are built upon previously released English language models, specifically "Stable LM 3B-4E1T" and "Mistral-7B-v0.1

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Key takeaways

  • Stability AI launches two Japanese language models: Japanese Stable LM 3B-4E1T and Japanese Stable LM Gamma 7B.
  • Models utilize pretraining with 100 billion tokens from Japanese and English datasets to enhance language capabilities.
  • Japanese Stable LM 3B-4E1T features approximately 3 billion parameters; Gamma 7B has 7 billion parameters.
  • Both models are available under the Apache 2.0 license for commercial use.
  • Performance evaluated using Japanese language benchmarks to assess understanding and classification tasks.
5 min

Stability AI Japan has recently released two Japanese language models, namely Japanese Stable LM 3B-4E1T and Japanese Stable LM Gamma 7B. The former boasts approximately 3 billion parameters, while the latter is a 7 billion parameters model. These models have been made available under the Apache 2.0 license for commercial use.

https://twitter.com/StabilityAI_JP/status/1716998578244407597

These models are built upon previously released English language models, specifically Stable LM 3B-4E1T and Mistral-7B-v0.1, published by Stability AI in August and Mistral AI in September 2023, respectively. These models were initially trained with predominantly English data, resulting in high proficiency in English but limited Japanese language capabilities due to the scarcity of Japanese data. 

To enhance their Japanese language abilities, these models underwent continued pretraining, utilizing Japanese and English datasets from sources like Wikipedia, mC4, CC-100, OSCAR, and SlimPajama (excluding Books3), amounting to approximately 100 billion tokens.

The performance evaluation of these models followed the same methodology as the one used for Japanese Stable LM Alpha, released in August 2023. The evaluation included Japanese language understanding benchmarks (JGLUE) tasks, encompassing tasks such as sentence classification, sentence pair classification, question answering, and text summarisation, totalling eight tasks.

The Japanese Stable LM 3B-4E1T demonstrated superior performance compared to the Japanese Stable LM Base Alpha 7B, despite having only 3 billion parameters. Japanese Stable LM Gamma 7B achieved even higher scores, showcasing the remarkable advancements in Japanese natural language processing enabled by these models.

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