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Unverified Commit 5c2b5cb4 authored by Wilson Wu's avatar Wilson Wu Committed by GitHub
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[Docs] Add SPLADE and Ultravox models to supported models documentation (#29659)


Signed-off-by: default avatarWilson Wu <iwilsonwu@gmail.com>
Co-authored-by: default avatarCyrus Leung <cyrus.tl.leung@gmail.com>
parent 3cb32e5d
......@@ -479,6 +479,7 @@ These models primarily support the [`LLM.embed`](./pooling_models.md#llmembed) A
| Architecture | Models | Example HF Models | [LoRA](../features/lora.md) | [PP](../serving/parallelism_scaling.md) |
|--------------|--------|-------------------|----------------------|---------------------------|
| `BertModel`<sup>C</sup> | BERT-based | `BAAI/bge-base-en-v1.5`, `Snowflake/snowflake-arctic-embed-xs`, etc. | | |
| `BertSpladeSparseEmbeddingModel` | SPLADE | `naver/splade-v3` | | |
| `Gemma2Model`<sup>C</sup> | Gemma 2-based | `BAAI/bge-multilingual-gemma2`, etc. | ✅︎ | ✅︎ |
| `Gemma3TextModel`<sup>C</sup> | Gemma 3-based | `google/embeddinggemma-300m`, etc. | ✅︎ | ✅︎ |
| `GritLM` | GritLM | `parasail-ai/GritLM-7B-vllm`. | ✅︎ | ✅︎ |
......@@ -725,6 +726,7 @@ These models primarily accept the [`LLM.generate`](./generative_models.md#llmgen
| `Step3VLForConditionalGeneration` | Step3-VL | T + I<sup>+</sup> | `stepfun-ai/step3` | | ✅︎ |
| `TarsierForConditionalGeneration` | Tarsier | T + I<sup>E+</sup> | `omni-search/Tarsier-7b`, `omni-search/Tarsier-34b` | | ✅︎ |
| `Tarsier2ForConditionalGeneration`<sup>^</sup> | Tarsier2 | T + I<sup>E+</sup> + V<sup>E+</sup> | `omni-research/Tarsier2-Recap-7b`, `omni-research/Tarsier2-7b-0115` | | ✅︎ |
| `UltravoxModel` | Ultravox | T + A<sup>E+</sup> | `fixie-ai/ultravox-v0_5-llama-3_2-1b` | ✅︎ | ✅︎ |
Some models are supported only via the [Transformers modeling backend](#transformers). The purpose of the table below is to acknowledge models which we officially support in this way. The logs will say that the Transformers modeling backend is being used, and you will see no warning that this is fallback behaviour. This means that, if you have issues with any of the models listed below, please [make an issue](https://github.com/vllm-project/vllm/issues/new/choose) and we'll do our best to fix it!
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