AI Model Hub

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

13,634 models available

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Showing 7177–7200 of 13,634 models

Robotics

YuankaiLuo/SimVLA-LIBERO

981

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Any To Any

llmfan46/gemma-4-E2B-it-ultra-uncensored-heretic

981

transformers

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Object Detection

ustc-community/dfine-medium-obj2coco

980

transformers

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Reinforcement Learning

mrinaalarora/wordle-grpo-Qwen3-1.7B

980

transformers

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Image Feature Extraction

MahmoodLab/KRONOS

980

kronos

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Table Question Answering

google/tapas-base-finetuned-sqa

979

transformers

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Robotics

zimplex/rdt-1b-genesis-hr-bench-20260526-1651-4node-latest

979

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Reinforcement Learning

mradermacher/VeriReason-Qwen2.5-7b-SFT-Reasoning-i1-GGUF

976

transformers

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Feature Extraction

fangyuan/nq_extractive_compressor

976

transformers

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Object Detection

is36e/detr-resnet-50-sku110k

974

transformers

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Image Feature Extraction

timm/vit_pe_lang_gigantic_patch14_448.fb

972

timm

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Image Segmentation

keremberke/yolov8m-pothole-segmentation

970

ultralytics

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Feature Extraction

ybelkada/random-tiny-BertGenerationModel

968

transformers

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Any To Any

FakeRockert543/gemma-4-e4b-it-MLX-bf16

968

mlx

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Robotics

anikitakis/vla_so101_pick_n_place_full_expert

968

lerobot

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Feature Extraction

BMRetriever/BMRetriever-410M

968

transformers

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Image Feature Extraction

timm/vit_huge_patch14_224.orig_in21k

967

timm

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Image To Text

ZihCiLin/trocr-traditional-chinese-baseline

967

transformers

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Robotics

2toINF/X-VLA-Libero

965

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Image Feature Extraction

omai-research/milco-650m

964

transformers

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Text To Audio

mlx-community/SoulX-Singer-fp32

963

mlx

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Text To Speech

facebook/mms-tts-por

962

transformers

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Image Segmentation

lorebianchi98/Talk2DINOv3-ViTL

960

Pytorch

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Summarization

moussaKam/barthez-orangesum-abstract

959

transformers

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Full changelog

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.