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Gemma 3n 4B

POST/v1/chat/completions

Gemma 3n E4B-it is optimized for efficient execution on mobile and low-resource devices, such as phones, laptops, and tablets. It supports multimodal inputs—including text, visual data, and audio—enabling diverse tasks such as text generation, speech recognition, translation, and image analysis. Leveraging innovations like Per-Layer Embedding (PLE) caching and the MatFormer architecture, Gemma 3n dynamically manages memory usage and computational load by selectively activating model parameters, significantly reducing runtime resource requirements.

Request body

Parameters supported by this model. Values, defaults, and limits are read from the model registry.

stringmodelrequired

Model identifier. Set to google/gemma-3n-e4b-it.

Default: google/gemma-3n-e4b-it

array<object>messagesrequired

Conversation messages in system, user, or assistant order.

Optional<integer>max_tokens

Maximum number of tokens the model may generate in the response.

Range: −∞ to 32768

Optional<number>temperature

Sampling temperature. Lower values are more deterministic; higher values are more creative.

Range: 0 to 2

Default: 1

Optional<number>top_p

Nucleus sampling threshold. Use this or temperature, but usually not both.

Range: 0 to 1

Optional<boolean>stream

When true, returns incremental Server-Sent Events instead of one completed response.

Default: false

Optional<array<string>>stop

Sequences that stop generation when the model produces one of them.

Optional<number>presence_penalty

Penalizes tokens that already appeared, encouraging the model to introduce new topics.

Range: -2 to 2

Optional<number>frequency_penalty

Penalizes repeated tokens, reducing repetition in the generated response.

Range: -2 to 2

Optional<integer>top_k

Request parameter supported by this model.

Range: 0 to ∞

Response Schema

Fields returned by this model API response.

array<object>choicesrequired

Generated completion choices.

stringidrequired

Unique chat completion identifier.

stringmodelrequired

Model that generated the response.

Optional<object>usage

Token usage when available.

Model capabilities

array<string>capability_tagsrequired

Capabilities declared by the model registry.

Default: chat

integercontext_lengthrequired

Maximum context window accepted by this model.

Default: 32768 tokens

stringexecution_moderequired

Execution mode declared by the model registry.

Default: sync