A high-throughput and memory-efficient inference and serving engine for LLMs
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[Doc] Update Encoder-Decoder models support doc with Florence-2 (#34581)
Signed-off-by: Isotr0py <mozf@mail2.sysu.edu.cn>
Isotr0py committed
Feb 15, 2026 at 20:18 UTC
19fab441526b39990e292845ede8886a348d0d7e
2 files changed
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docs/models/supported_models.md
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@@ -181,6 +181,7 @@ Some model architectures are supported via vLLM plugins. These plugins extend vL
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| Architecture | Models | Plugin Repository |
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|--------------|--------|-------------------|
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| `BartForConditionalGeneration` | BART | [bart-plugin](https://github.com/vllm-project/bart-plugin) |
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+| `Florence2ForConditionalGeneration` | Florence-2 | [bart-plugin](https://github.com/vllm-project/bart-plugin) |
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For other model architectures not natively supported, in particular for Encoder-Decoder models, we recommend following a similar pattern by implementing support through the plugin system.
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docs/usage/v1_guide.md
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@@ -137,6 +137,7 @@ Please note that prefix caching is not yet supported for any of the above models
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Whisper is supported natively. Other encoder-decoder models are supported via the plugin system:
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- **BART**: `BartForConditionalGeneration` is supported via the official [bart-plugin](https://github.com/vllm-project/bart-plugin).
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+- **Florence-2**: `Florence2ForConditionalGeneration` is supported via the official [bart-plugin](https://github.com/vllm-project/bart-plugin).
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For other encoder-decoder models (e.g., `MllamaForConditionalGeneration`), we recommend
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following a similar pattern by implementing support through the [plugin system](../design/plugin_system.md).