Google · Official-source model record
gemma 3n E2B
gemma · Version google/gemma-3n-E2B
Publisher-sourced inventory. Specifications come from official documentation and model cards. “Not documented” means we have no verified value. This inventory is separate from our editorial reviews.
Coverage & sources ↗Current catalog answers
What to know about gemma 3n E2B
AI-compiled from linked model documentation. This is a catalog reference, not an independent performance review. Catalog checked October 23, 2026.
Which gemma 3n E2B does this page describe?
gemma 3n E2B is a model record from Google in the gemma family. Source
The recorded model identifier or checkpoint is google/gemma-3n-E2B. Use that exact identifier when checking documentation or a provider listing. Source
How can you access gemma 3n E2B?
The catalog documents Open weights access for gemma 3n E2B. Source
As of the catalog check, this version was listed as available. Source
Open weights means the model weights are distributed for use under their stated terms. It does not establish a hosted API, an open-source license, or a hardware requirement.
What are gemma 3n E2B's context and output limits?
The documented context window is 32,000 tokens. Source
A separate maximum-output value is not established in this record. The context or input figure should not be used as an output allowance.
Context, input and output limits describe different constraints. Do not add the figures together to infer a larger window. Check the endpoint's accounting for conversation history, system instructions, tools, media and generated tokens; a documented maximum is not a guarantee of answer quality or a measured usable capacity.
What dates are documented for gemma 3n E2B?
Training-data cutoff: June 2024. Source This describes the reported data boundary, not the day training finished. The source labels this “Knowledge cutoff date for the training data.”
Retrieval or web tools can supply newer information at run time. That does not change the model's recorded training or knowledge dates, and this record does not establish that a particular endpoint includes those tools.
What can gemma 3n E2B receive and generate?
Documented inputs: text, image, video, and audio. Source
Documented outputs: text. Source
Input support and output generation are separate capabilities. Reading an image does not establish image generation; a text output listing does not establish speech output. File sizes, formats and media limits depend on the documented implementation.
What license is recorded for gemma 3n E2B?
The recorded license label is gemma. Source
Read the linked license and associated use terms for this exact version before redistribution, commercial deployment or fine-tuning. A label alone does not establish every permission, restriction or obligation, and it does not determine the terms of a separate hosted service.
What is documented about the gemma 3n E2B checkpoint?
This evidence refers to google/gemma-3n-E2B at recorded revision c0ad2723802bade99f427667a609a03ae17a6a66, checked October 23, 2026. Repository metadata
Safetensors metadata records 5,439,438,272 stored parameters. This is a stored-weight count, not necessarily the number activated per token, a download size or a GPU-memory requirement. Repository metadata
Recorded architecture class: Gemma3nForConditionalGeneration. Repository metadata
Repository task tag: image-text-to-text. A task tag identifies a distribution category; it does not measure performance on that task. Repository metadata
Listed library: transformers. Check that library's version and model support before loading the weights. Repository metadata
Repository access gate: manual. This records the repository's gate setting when checked; licensing and use terms still apply. Repository metadata
Read the retrieved model card for setup and qualifications. Model card
Keep the exact version in view
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These are separate records in the same publisher family. A shared family name does not establish equal capabilities or interchangeable licenses.
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The documented record
Specifications, with their sources.
A missing value remains unknown. Input limits, output limits and the total context window are separate measurements.
- Publisher
- GoogleSource ↗
- Family
- gemmaSource ↗
- Version
- google/gemma-3n-E2BSource ↗
- Availability
- AvailableSource ↗
- Access
- Open weightsSource ↗
- Inputs
- Text · Image · Video · AudioSource ↗
- Outputs
- TextSource ↗
- Context window
- 32,000 tokensSource ↗
- Maximum input
- Not documented
- Maximum output
- Not documented
- Knowledge cutoff
- Not documented
- Training-data cutoff
- Jun 2024Knowledge cutoff date for the training data · month precisionSource ↗
- Training completed
- Not documented
- Release date
- Not documented
- License
- gemmaSource ↗
- Input price / 1M tokens
- Not documented
- Output price / 1M tokens
- Not documented
Read this with the numbers.
Official Google-published checkpoint. Base/pretrained and instruction-tuned variants remain distinct; platform and quantized packaging copies are excluded. Hosted API availability not inferred. K token limits reproduce vendor rounded units as decimal thousands; no exact integer precision is implied. Publisher repository evidence (2026-10-23): Publisher task label: image-text-to-text. Published architecture metadata: Gemma3nForConditionalGeneration. Repository library label: transformers. Published safetensors metadata counts 5,439,438,272 stored parameters; this is not an active-parameter count for mixture-of-experts models. Repository access metadata is manual; access gating does not establish license permissions.
Model identifiers and aliases 0
No additional identifier has been verified.
Follow the evidence
Official sources.
- model_card ↗ai.google.dev
- gemma 3n E2B official reference ↗huggingface.co
- gemma 3n E2B: official publisher repository metadata ↗huggingface.co
- gemma 3n E2B: publisher model card at revision c0ad2723802b ↗huggingface.co