With the rapid development of artificial intelligence technology, large-scale models have shown amazing capabilities and potential in many fields. Recently, Kai-Fu Lee's AI company Zero One Everything announced that their latest masterpiece, the YI-9B large model, was officially released to the public as an open source. This large model with 9 billion parameters has reached unprecedented heights in terms of ** and mathematical ability, while maintaining good compatibility with consumer-grade graphics cards, providing unprecedented convenience and powerful functions for the majority of developers and researchers. 
As a new member of the YI series, YI-9B is known as the "champion of science", especially strengthening the learning ability in ** and mathematics. Compared with other similarly sized open source models on the market, such as MISTRAL-7B and SOLAR-107B, GEMMA-7B, etc., YY-9B showed the best performance. In particular, the YY-9B is available in both floating-point versions (BF 16) and integer versions (INT8), making it easy to deploy on consumer-grade graphics cards, including the RTX 4090 and RTX 3090, greatly reducing the threshold and cost of use. 
The success of YI-9B is not only the accumulation of parameters, but also the innovation and breakthrough of 010000 in deep amplification technology and multi-stage incremental training methods. Through the deep amplification and well-designed incremental training of the YY-6B model, YY-9B has not only achieved a qualitative leap in model size, but also reached a new height in the processing power of ** and mathematics. In addition, the YI-9B training process also adopts an advanced parameter tuning strategy to increase the batch size when the model loss stops declining, which ensures the adequacy and efficiency of model learning. InGeneralIn terms of capability (mean-all), the performance of the YY-9B is inThe best of open source models of similar dimensions, surpassingdeepseek-coder、deepseek-math、mistral-7b、solar-10.7b and GEMMA-7b.
InIn terms of capabilities (mean-code), the performance of YI-9B is second only to DeepSEEK-CODER-7BTranscendedyi-34b、solar-10.7b, mistral-7b, and gemma-7b.
InMathematicsIn terms of capability (mean-math), the performance of YI-9B is second only to that of Deepseek-Math-7BTranscendedsolar-10.7b, mistral-7b, and gemma-7b.
InCommon sense and reasoningIn terms of capabilities (mean-text), the performance of the YI-9B is comparable to that of MISTRAL-7B and SOLAR-107b and GEMMA-7b. It's comparable
InLanguageIn terms of capabilities, compared to other models of similar size, the YY-9B not only has good English ability, but also has the YI series models that have been widely acclaimedStrong Chinese skills
The open-source YI-9B model reflects its commitment to promoting the development of AI technology and promoting scientific research. By providing easy-to-deploy models and detailed documentation, Zero One hopes to inspire more developers and researchers to innovate and explore the future possibilities of artificial intelligence. Not only that, the open source of the YY-9B also provides strong technical support for SMEs and individual developers, enabling them to implement complex AI applications at a lower cost. With the release and open-source of the YI-9B large model, Zero One Everything once again proves its technical strength and openness in the field of AI. Looking forward to the future, 010000 will continue to deepen the research and development of AI technology, continue to explore more efficient model training methods and a wider range of application scenarios, and help the progress and popularization of AI technology. At the same time, it is also expected that developers and researchers around the world can make full use of the powerful resource of YI-9B to jointly promote the innovation and development of AI technology.