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

Co-authored-by: Piotr Mazurek <piotr.mazurek@liquid.ai>

docs/supported_models/text_generation/generative_models.md

@@ -68,6 +68,8 @@ in the GitHub search bar.
 | **StarCoder2** (3B-15B) | `bigcode/starcoder2-7b` | StarCoder2 is a family of open large language models (LLMs) specialized for code generation and understanding. It is the successor to StarCoder, jointly developed by the BigCode project (a collaboration between Hugging Face, ServiceNow Research, and other contributors). |
 | **Jet-Nemotron** | `jet-ai/Jet-Nemotron-2B` | Jet-Nemotron is a new family of hybrid-architecture language models that surpass state-of-the-art open-source full-attention language models, while achieving significant efficiency gains. |
 | **Trinity** (Nano, Mini) | `arcee-ai/Trinity-Mini` | Arcee's foundational MoE Trinity family of models, open weights under Apache 2.0. |
+| **LFM2** (350M, 1.2B) | `LiquidAI/LFM2.5-1.2B-Instruct` | Liquid AI's hybrid attention + short convolution language model. |
+| **LFM2-MoE** (8B-A1B, 24B-A2B) | `LiquidAI/LFM2-8B-A1B` | Liquid AI's Mixture-of-Experts variant with sigmoid routing and top-k expert selection. |
 | **Falcon-H1** (0.5B–34B) | `tiiuae/Falcon-H1-34B-Instruct` | TII's hybrid Mamba-Transformer architecture combining attention and state-space models for efficient long-context inference. |
 | **Hunyuan-Large** (389B, MoE) | `tencent/Tencent-Hunyuan-Large` | Tencent's open-source MoE model with 389B total / 52B active parameters, featuring Cross-Layer Attention (CLA) for improved efficiency. |
 | **IBM Granite 4.0 (Hybrid, Dense)** | `ibm-granite/granite-4.0-h-micro`, `ibm-granite/granite-4.0-micro` | IBM Granite 4.0 micro models: hybrid Mamba–MoE (`h-micro`) and dense (`micro`) variants. Enterprise-focused reasoning models |