ibm-granite/granite-3.0-2b-instruct

Granite-3.0-2B-Instruct is a lightweight and open-source 2B parameter model designed to excel in instruction following tasks such as summarization, problem-solving, text translation, reasoning, code tasks, function-calling, and more.

Input
Configure the inputs for the AI model.
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The number of highest probability tokens to consider for generating the output. If > 0, only keep the top k tokens with highest probability (top-k filtering).

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A probability threshold for generating the output. If < 1.0, only keep the top tokens with cumulative probability >= top_p (nucleus filtering). Nucleus filtering is described in Holtzman et al. (http://arxiv.org/abs/1904.09751).

Prompt

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The maximum number of tokens the model should generate as output.

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The minimum number of tokens the model should generate as output.

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The value used to modulate the next token probabilities.

A comma-separated list of sequences to stop generation at. For example, '<end>,<stop>' will stop generation at the first instance of 'end' or '<stop>'.

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Presence penalty

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Frequency penalty

Output
The generated output will appear here.

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granite-3.0-2b-instruct - ikalos.ai