StarCoder2-15B is a 15-billion parameter code generation model trained on 600+ programming languages, optimized for code-related tasks with a large context window and robust performance

Model is trained and ready for deployment

StarCoder

The maximum number of tokens to generate. Shorter token lengths will provide faster performance.

A decimal number that determines the degree of randomness in the response

An alternative to sampling with temperature, where the model considers the results of the tokens with top_p probability mass.

The top-k parameter limits the model's predictions to the top k most probable tokens at each step of generation.

Setting do_sample to true increases creativity in the model's outputs, whereas false leads to more consistent text

StarCoder2-15B is a 15-billion parameter code generation model trained on 600+ programming languages, optimized for code-related tasks with a large context

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