Google's open source large model Gemme, which includes Gemma 2B and Gemma 7B, supports pre-training and fine-tuning. This move marks Google's change from last year's closed-source strategy, and together with Meta and Mistral, it forms the top three in the large model market. This move has attracted widespread attention in the industry and is considered to be a strategic adjustment by Google to deal with pressure from competitors such as OpenAI. It indicates that competition in the large model market will become more intense and may accelerate the development of the open source ecosystem.
Google released the open source large model Gemme, marking a change from last year's closed source strategy. Gemme includes models in two sizes: Gemma 2B and Gemma 7B, supporting pre-training and fine-tuning. Google's open source initiatives, Meta and Mistral, form a trio, forming a chain of suppression in the large model market. Experts believe that Google may have turned to open source because it was forced to respond to pressure from competitors such as OpenAI.
Google's move to open source Gemme may have a profound impact on the field of large models and promote technological progress and application innovation in the industry. In the future, more companies may join the open source camp to further promote the popularization and development of large model technology. This marks a new stage in competition in the field of large models.