Mobilebert Uncased
Google's Mobilebert Uncased is a compact, task-agnostic BERT model designed for resource-limited devices, leveraging bottleneck structures and a balanced architecture of self-attentions and feed-forward networks. It is genuinely best at handling tasks within its 512-token context window.
Input
Output
Context
1K
Max Output
-
Parameters
95M
Technical Specifications
Model TypeNot available
Context Window512 tokens
Max Output TokensNot available
Parameters95M
Release DateMar 2, 2022
Training CutoffNot available
Licenseapache-2.0
Open SourceYes
Input Modalities
Text
Output Modalities
TextEmbedding
Capabilities
Estimated GPU Requirements for Mobilebert Uncased
Estimates based on INT8 quantization. Actual requirements vary by framework and configuration.
Related Tools
Data sourced from official provider APIs and documentation
Last updated: Jun 23, 2026
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