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[Doc] Update V1 user guide for embedding models #19842

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Jun 19, 2025
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[Doc] Update V1 user guide for embedding models #19842

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[Doc] Update embedding model support status
22quinn Jun 19, 2025
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22quinn Jun 19, 2025
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16 changes: 4 additions & 12 deletions docs/usage/v1_guide.md
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Expand Up @@ -39,9 +39,9 @@ This living user guide outlines a few known **important changes and limitations*
For each item, our progress towards V1 support falls into one of the following states:

- **🚀 Optimized**: Nearly fully optimized, with no further work currently planned.
- **🟢 Functional**: Fully operational, with ongoing optimizations.
- **🚧 WIP**: Under active development.
- **🟡 Planned**: Scheduled for future implementation (some may have open PRs/RFCs).
- **🟢 Functional**: Fully operational, with ongoing optimizations.
- **🚧 WIP**: Under active development.
- **🟡 Planned**: Scheduled for future implementation (some may have open PRs/RFCs).
- **🟠 Delayed**: Temporarily dropped in V1 but planned to be re-introduced later.
- **🔴 Deprecated**: Not planned for V1 unless there is strong demand.

Expand Down Expand Up @@ -70,7 +70,7 @@ For each item, our progress towards V1 support falls into one of the following s
|-----------------------------|------------------------------------------------------------------------------------|
| **Decoder-only Models** | <nobr>🚀 Optimized</nobr> |
| **Encoder-Decoder Models** | <nobr>🟠 Delayed</nobr> |
| **Embedding Models** | <nobr>🚧 WIP ([PR #16188](https://github.com/vllm-project/vllm/pull/16188))</nobr> |
| **Embedding Models** | <nobr>🟢 Functional</nobr> |
| **Mamba Models** | <nobr>🚧 WIP ([PR #19327](https://github.com/vllm-project/vllm/pull/19327))</nobr> |
| **Multimodal Models** | <nobr>🟢 Functional</nobr> |

Expand All @@ -82,14 +82,6 @@ vLLM V1 currently excludes model architectures with the `SupportsV0Only` protoco

See below for the status of models that are still not yet supported in V1.

#### Embedding Models

The initial support will be provided by [PR #16188](https://github.com/vllm-project/vllm/pull/16188).

Later, we will consider using [hidden states processor](https://github.com/vllm-project/vllm/issues/12249),
which is based on [global logits processor](https://github.com/vllm-project/vllm/pull/13360)
to enable simultaneous generation and embedding using the same engine instance in V1.

#### Mamba Models

Models using selective state-space mechanisms instead of standard transformer attention (e.g., `MambaForCausalLM`, `JambaForCausalLM`)
Expand Down