AI Model Hub

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

14,077 models available

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Showing 8497–8520 of 14,077 models

Robotics

zimplex/pi05-base-qpos-target-abs-20260526-1651-latest

370

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Summarization

tsmatz/mt5_summarize_japanese

369

transformers

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Audio To Audio

NextFire/tsurumeso-vocal-remover

369

transformers

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Audio To Audio

lucadellalib/focalcodec_50hz_2k_causal

369

torch

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Object Detection

merve/rfdetr-roadsign-agree1

369

transformers

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Image Feature Extraction

facebook/sapiens2-pretrain-1b

369

sapiens2

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Question Answering

mradermacher/Qwen3.5-9B-imabari-v2-i1-GGUF

368

transformers

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Reinforcement Learning

mradermacher/Miner-8B-i1-GGUF

368

transformers

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Question Answering

nphearum/Qwen3.5-4BxOpus-4.7-Code-Reasoning-Distilled-GGUF

368

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Image Feature Extraction

emarro/test-hnet-upload-debug_hg38_hf_hnet_m3t1-M15-m4_N3_D512-512_mlp_election_fixed_lr-0.0005

368

transformers

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Audio Classification

aufklarer/KWS-Zipformer-3M-CoreML-INT8

367

coreml

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Image Segmentation

lly00412/oneformer-replica-finetune

366

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Image To Text

Makadi86/Arabic-GLM-OCR-v2-GGUF

366

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Unconditional Image Generation

1aurent/ddpm-mnist

365

diffusers

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Robotics

nvidia/smolvla-arena-gr1-microwave

365

lerobot

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Text To Video

Lightricks/LTX-Video-ICLoRA-pose-13b-0.9.7

365

diffusers

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Robotics

Sa74ll/smolvla_so101_pickandplace

365

lerobot

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Object Detection

dopaul/chess-piece-detector-merged

365

ultralytics

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Robotics

woh7539/omx_act_policy

365

lerobot

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Text To Video

alibaba-pai/Wan2.1-Fun-14B-Control

364

videox_fun

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Text To Audio

ACE-Step/acestep-v15-turbo-shift3

364

transformers

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Text To Audio

Marvis-AI/marvis-tts-250m-v0.1-transformers

364

transformers

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Text To Audio

Nekochu/stable-audio-open-1.0-Music

364

stable-audio-tools

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Image Feature Extraction

waticlems/Prost40M

364

timm

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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.