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Browse AI models for multimodal decomposition and recomposition pipelines — plug any model into your extractors.

13,634 models available

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Showing 7609–7632 of 13,634 models

Any To Any

diodel/Qwen3.5-2B-Q4_K_M-GGUF

648

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Image Feature Extraction

timm/aimv2_3b_patch14_224.apple_pt

644

timm

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Image Segmentation

tue-mps/ade20k_semantic_eomt_large_512

643

transformers

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Reinforcement Learning

graceesthi/ug-cppo-finai-2025

643

stable-baselines3

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Image Segmentation

mudler/rfdetr-cpp-seg-small

643

rfdetr.cpp

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Image Segmentation

mudler/rfdetr-cpp-seg-medium

642

rfdetr.cpp

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Audio Classification

Lajavaness/wav2vec2-lg-xlsr-fr-speech-emotion-recognition

641

transformers

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Robotics

mradermacher/ProcVLM-2B-FP32-GGUF

641

transformers

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Object Detection

mudler/rfdetr-cpp-small

641

rfdetr.cpp

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Object Detection

mudler/rfdetr-cpp-medium

641

rfdetr.cpp

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Reinforcement Learning

mradermacher/GoLongRL-4B-GGUF

640

transformers

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Robotics

MidoriChou/ai_final_12_act_2

640

lerobot

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Image Segmentation

tue-mps/coco_instance_eomt_large_640

638

transformers

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Object Detection

mudler/rfdetr-cpp-large

638

rfdetr.cpp

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Image Feature Extraction

hyper-accel/tiny-random-internlm2

638

transformers

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Summarization

ozcangundes/mt5-small-turkish-summarization

637

transformers

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Any To Any

zecanard/gemma-4-E2B-it-ultra-uncensored-heretic-MLX-3bit-mixed_3_6

637

mlx

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Robotics

IffYuan/Embodied-R1.5

637

transformers

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Text To Audio

ahmedjaved812/urdu-tts-phonemes-finetuned

633

transformers

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Table Question Answering

microsoft/tapex-base

633

transformers

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Image To Text

phxember/Uni-MuMER-Qwen3.5-2B

632

transformers

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Object Detection

mshamrai/yolov8s-visdrone

631

ultralytics

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Object Detection

vineetsarpal/yolov11n-car-damage

631

ultralytics

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Any To Any

BAAI/Emu3-Stage1

630

transformers

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Jun 22, 2026200+ model pages and new retrieval deep-divesExpanded the model catalog with enriched pages (architecture, benchmarks, Mixpeek SDK examples, and pipeline pairings) across embedding, vision-language, video, audio, OCR, and reranking models — plus new vendor-neutral guides on Matryoshka embeddings, reasoning rerankers, and retrieval feedback loops.