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A high-throughput and memory-efficient inference and serving engine for LLMs

Mirrored from https://github.com/tduncan-lum/Nvidia-Optimization-Stack---VLLM.git

Synced Nov 14, 05:30 UTC

[Docs] Gemma3n `transcriptions` endpoint support (#24512)

Signed-off-by: NickLucche <nlucches@redhat.com>

Nicolò Lucchesi committed Sep 9, 2025 at 20:03 UTC 3707cb2505e93cca217831f5483e20b988b5a5e7
1 file changed +1
docs/models/supported_models.md
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@@ -766,6 +766,7 @@ Speech2Text models trained specifically for Automatic Speech Recognition.
766 |--------------|--------|-------------------|----------------------|---------------------------|---------------------|
767 | `WhisperForConditionalGeneration` | Whisper | `openai/whisper-small`, `openai/whisper-large-v3-turbo`, etc. | | | |
768 | `VoxtralForConditionalGeneration` | Voxtral (Mistral format) | `mistralai/Voxtral-Mini-3B-2507`, `mistralai/Voxtral-Small-24B-2507`, etc. | | ✅︎ | ✅︎ |
769 +| `Gemma3nForConditionalGeneration` | Gemma3n | `google/gemma-3n-E2B-it`, `google/gemma-3n-E4B-it`, etc. | | | ✅︎ |
770
771 ### Pooling Models
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