NVIDIA
This model transcribes speech in lower case Kazakh and Russian alphabet. It is a "large" version of FastConformer Transducer-CTC (around 115M parameters) model. This is a hybrid model trained on two losses: Token-and-Duration Transducer (default) and CTC.
Running this yourself: can likely run on your own machine.
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23.6
Quality Score
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Arena ELO
115M
Parameters
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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
Use this section to answer one simple question first: how much outside evidence do we have that this model performs well? Structured benchmark scores appear first, then official provider evidence, then live arena signal.
This model has official provider benchmark evidence, but not a normalized independent benchmark table yet.
A full normalized benchmark row is not available for this model yet.
Official benchmark evidence is already available below, so this release is still being tracked while the normalized table catches up.
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528
Downloads
11
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Sep 2024
Released
3/5 signals
2/4 signals
3/5 signals
3/4 signals
3/4 signals
Parameters
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Training compute
Not reported
Dataset scale
Not reported
Base model
Not reported
Gaps we are still tracking
Metadata sources
These are recent benchmark or leaderboard claims from official provider sources. They are useful for freshness and context, but they are not treated the same as normalized independent benchmark rows.
nvidia/stt_kk_ru_fastconformer_hybrid_large · Hugging Face
NVIDIA published benchmark or leaderboard evidence for stt_kk_ru_fastconformer_hybrid_large.
View source