Hottest Multimodal Deep Learning models (Subcategory)

Top Hottest 14 Models for Multimodal Deep Learning · 4/20/2025

Multimodal Deep Learning is a subcategory of AI models that integrates and processes multiple types of data, such as text, images, audio, and video, to learn and make predictions. Key features include the ability to handle heterogeneous data, learn shared representations, and fuse information from different modalities. Common applications include multimedia analysis, sentiment analysis, and human-computer interaction. Notable advancements include the development of architectures such as Multimodal Transformers and Multimodal Graph Neural Networks, which have achieved state-of-the-art results in tasks like visual question answering and multimodal sentiment analysis.

Xlm Roberta Large

Multilingual Language Model

XLM Roberta Large Vit B 32

Multilingual text encoder

Orion 14B Base

Multilingual AI model

Paraphrase Multilingual MiniLM L12 V2

Multilingual Sentence Embeddings

Meta Llama 3.1 405B FP8

Multilingual Dialogue Model

Meta Llama 3.1 405B Instruct GGUF

Multilingual chat model

Orion 14B LongChat

Long context chat model

Bloom

Multilingual text generator

Bert Base Multilingual Cased

Multilingual BERT model

Meta Llama 3.1 8B Instruct

Multilingual dialogue model

XVERSE MoE A36B

Multilingual MoE model

C4ai Command R Plus

Multilingual RAG model

Distilbert Base Multilingual Cased Sentiments Student

Multilingual sentiment analysis

WizardLM 2 8x22B

Multilingual MoE model

Discover the Latest Multimodal Deep Learning Models

Featuring the Latest AI Models in the Field

InternVL2 5 2B

Multimodal LLM

InternVL2 5 78B AWQ

Multimodal Vision-Language Model

Sailor2 1B

Multilingual SEA model

Sailor2 8B

Multilingual LLM