Google · Official-source model record
t5gemma ml ml ul2 it
t5gemma · Version google/t5gemma-ml-ml-ul2-it
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 t5gemma ml ml ul2 it
AI-compiled from linked model documentation. This is a catalog reference, not an independent performance review. Catalog checked October 23, 2026.
Which t5gemma ml ml ul2 it does this page describe?
t5gemma ml ml ul2 it is a model record from Google in the t5gemma family. Source
The recorded model identifier or checkpoint is google/t5gemma-ml-ml-ul2-it. Use that exact identifier when checking documentation or a provider listing. Source
How can you access t5gemma ml ml ul2 it?
The catalog documents Open weights access for t5gemma ml ml ul2 it. 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 can t5gemma ml ml ul2 it receive and generate?
Documented inputs: Text. 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 t5gemma ml ml ul2 it?
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 distinguishes t5gemma ml ml ul2 it?
These details come from the linked publisher material for this model. Reported capabilities and training descriptions are publisher statements, not independent test results.
- Exact encoder-decoder checkpoint
- ML encoder and ML decoder, adapted with UL2; instruction-tuned checkpoint. Source
- Architecture and intended tasks
- Encoder-decoder research model for English text generation, including question answering, summarization and reasoning. Source
- Training adaptation
- The documented adaptation stage uses two trillion tokens. The card separates the original decoder pretraining from encoder-decoder adaptation. Source
What is documented about the t5gemma ml ml ul2 it checkpoint?
This evidence refers to google/t5gemma-ml-ml-ul2-it at recorded revision feab116d1fb86474e53180a136c3743f2aecc449, checked October 23, 2026. Repository metadata
Safetensors metadata records 2,200,345,344 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: T5GemmaForConditionalGeneration. Repository metadata
Repository task tag: text-generation. 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
- t5gemmaSource ↗
- Version
- google/t5gemma-ml-ml-ul2-itSource ↗
- Availability
- AvailableSource ↗
- Access
- Open weightsSource ↗
- Inputs
- TextSource ↗
- Outputs
- TextSource ↗
- Context window
- Not documented
- Maximum input
- Not documented
- Maximum output
- Not documented
- Knowledge cutoff
- Not documented
- Training-data cutoff
- Not documented
- 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. Publisher repository evidence (2026-10-23): Publisher task label: text-generation. Published architecture metadata: T5GemmaForConditionalGeneration. Repository library label: transformers. Published safetensors metadata counts 2,200,345,344 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.
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