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model: support LFM2-VL (Liquid Foundation Model 2 Vision-Language) (#21230)

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Co-authored-by: Piotr Mazurek <piotr.mazurek@liquid.ai>
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Piotr Mazurek
2026-04-04 16:36:04 +08:00
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co-authored by Piotr Mazurek
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docs/supported_models/text_generation/multimodal_language_models.md
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@@ -52,6 +52,7 @@ in the GitHub search bar.
| **JetVLM** | | JetVLM is an vision-language model designed for high-performance multimodal understanding and generation tasks built upon Jet-Nemotron. | Coming soon |
| **Step3-VL** (10B) | `stepfun-ai/Step3-VL-10B` | StepFun's lightweight open-source 10B parameter VLM for multimodal intelligence, excelling in visual perception, complex reasoning, and human alignment. | |
| **Qwen3-Omni** | `Qwen/Qwen3-Omni-30B-A3B-Instruct` | Alibaba's omni-modal MoE model. Currently supports the **Thinker** component (multimodal understanding for text, images, audio, and video), while the **Talker** component (audio generation) is not yet supported. | |
| **LFM2-VL** | `LiquidAI/LFM2.5-VL-1.6B` | Liquid AI's vision-language model combining a SigLip2 vision encoder (NaFlex variable-resolution) with the LFM2 hybrid attention + short convolution language model. Supports multi-image inputs. | |
## Video Input Support