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google-deepmind/gemma-2b-it

2B instruct version of Google’s Gemma model

Capabilities

Max TokensTop-P

Cost

Community model (estimated from hardware time)

Input Parameters

max_new_tokensinteger

Maximum number of tokens to generate. A word is generally 2-3 tokens

Default: 200min: 1
min_new_tokensinteger

Minimum number of tokens to generate. To disable, set to -1. A word is generally 2-3 tokens.

Default: -1min: -1
promptstring

Prompt to send to the model.

Default: "Write me a poem about Machine Learning."
repetition_penaltynumber

A parameter that controls how repetitive text can be. Lower means more repetitive, while higher means less repetitive. Set to 1.0 to disable.

Default: 1.15min: 0
temperaturenumber

Adjusts randomness of outputs, greater than 1 is random and 0 is deterministic, 0.75 is a good starting value.

Default: 0.7min: 0.01, max: 5
top_kinteger

When decoding text, samples from the top k most likely tokens; lower to ignore less likely tokens

Default: 50
top_pnumber

When decoding text, samples from the top p percentage of most likely tokens; lower to ignore less likely tokens

Default: 0.95min: 0, max: 1
Version: dff94eaf770eUpdated: 7/25/2026134.4K runs