Electra Small Discriminator
Google's Electra Small Discriminator is a pre-trained language model that excels at distinguishing real input tokens from fake ones generated by another neural network. It is particularly effective for tasks such as classification, question answering, and sequence tagging, and can achieve strong results even with limited computational resources.
Input
Output
Context
1K
Max Output
-
Parameters
14M
Technical Specifications
Model TypeEmbedding
Context Window512 tokens
Max Output TokensNot available
Parameters14M
Release DateMar 2, 2022
Training CutoffNot available
Licenseapache-2.0
Open SourceYes
Input Modalities
Text
Output Modalities
Embedding
Capabilities
Estimated GPU Requirements for Electra Small Discriminator
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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