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The method is simple, images carry compact representations of text, which reduces sequence length for the decoder. We provide various sizes of the code model, ranging from 1b to 33b versions.

During the inference process, the model activates 6 routing experts and 2 shared experts, with a total of approximately 570 million parameters activated. Deepseek coder is composed of a series of code language models, each trained from scratch on 2t tokens, with a composition of 87% code and 13% natural language in both english and chinese Die methode soll das problem zu langer kontexte in sprachmodellen lösen.

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