deepset
In this work we present the experiments which lead to the creation of our BERT and ELECTRA based German language models, GBERT and GELECTRA.
Running this yourself: can likely run on your own machine.
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Quality Score
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Arena ELO
337M
Parameters
512
Context
This measures the amount of verifiable public evidence we have, not how capable the model is. A missing field means it has not been verified yet, not that its value is zero.
14 of 22 public signals
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13.0K
Downloads
64
Likes
Mar 2022
Released
5/5 signals
0/4 signals
3/5 signals
3/4 signals
3/4 signals
Parameters
335M
Training compute
2.2e21 FLOP
Dataset scale
5.5B units
Base model
Not reported
Source-reported access: Open weights (unrestricted) · Likely confidence
Gaps we are still tracking
This section gives the plain-English basics first: what the model is, how large it is, how much context it can handle, and whether it is still actively supported.
This tells you how you can use the model in practice: whether weights are open, whether an API exists, and what kinds of input or output it supports.
Capabilities