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[Docs] Update V1 doc to reflect whisper support (#24606)

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Signed-off-by: Russell Bryant <rbryant@redhat.com>
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Russell Bryant 2025-09-11 04:50:08 -04:00 committed by GitHub
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2 changed files with 5 additions and 4 deletions
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docs/models/supported_models.md
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@ -766,7 +766,7 @@ Speech2Text models trained specifically for Automatic Speech Recognition.
| Architecture | Models | Example HF Models | [LoRA](../features/lora.md) | [PP](../serving/parallelism_scaling.md) | [V1](gh-issue:8779) |
|--------------|--------|-------------------|----------------------|---------------------------|---------------------|
| `WhisperForConditionalGeneration` | Whisper | `openai/whisper-small`, `openai/whisper-large-v3-turbo`, etc. | | | |
| `WhisperForConditionalGeneration` | Whisper | `openai/whisper-small`, `openai/whisper-large-v3-turbo`, etc. | | | ✅︎ |
| `VoxtralForConditionalGeneration` | Voxtral (Mistral format) | `mistralai/Voxtral-Mini-3B-2507`, `mistralai/Voxtral-Small-24B-2507`, etc. | ✅︎ | ✅︎ | ✅︎ |
| `Gemma3nForConditionalGeneration` | Gemma3n | `google/gemma-3n-E2B-it`, `google/gemma-3n-E4B-it`, etc. | | | ✅︎ |

7
docs/usage/v1_guide.md
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@ -83,7 +83,7 @@ based on assigned priority, with FCFS as a tie-breaker), configurable via the
| Model Type | Status |
|-----------------------------|------------------------------------------------------------------------------------|
| **Decoder-only Models** | <nobr>🚀 Optimized</nobr> |
| **Encoder-Decoder Models** | <nobr>🟠 Delayed</nobr> |
| **Encoder-Decoder Models** | <nobr>🟢 Whisper only</nobr> |
| **Embedding Models** | <nobr>🟢 Functional</nobr> |
| **Mamba Models** | <nobr>🟢 (Mamba-2), 🟢 (Mamba-1)</nobr> |
| **Multimodal Models** | <nobr>🟢 Functional</nobr> |
@ -118,8 +118,9 @@ Please note that prefix caching is not yet supported for any of the above models
#### Encoder-Decoder Models
Models requiring cross-attention between separate encoder and decoder (e.g., `BartForConditionalGeneration`, `MllamaForConditionalGeneration`)
are not yet supported.
Whisper is supported. Other models requiring cross-attention between separate
encoder and decoder (e.g., `BartForConditionalGeneration`,
`MllamaForConditionalGeneration`) are not yet supported.
### Features