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it home reported on september 5 that zero one everything announced today the open source yi-coder series of models, which is a programming assistant in the yi series model family.

the yi-coder series of models are designed for coding tasks and provide two parameters: 1.5b and 9b. among them, the performance of yi-coder-9b is said to be "better than other models with parameters below 10b", such as codeqwen1.5 7b and codegeex4 9b, and can even be "comparable to deepseek-coder 33b".

according to reports, yi-coder can handle contextual content with a maximum length of 128k tokens, which is suitable for understanding and generating complex project-level codes. yi-coder also supports 52 major programming languages.

according to the official test of zero one everything, yi-coder-9b-chat achieved a pass rate of 85.4% and 73.8% in humaneval and mbpp respectively. in addition, the accuracy of yi-coder 9b in cruxeval-o reached over 50% for the first time among open source coder models.