Model Hub

Browse PQC-verified AI models, datasets, and tools

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cross-encoder/nli-deberta-v3-xsmall HF Unverified

Zero-Shot ClassificationSentence-TransformersPyTorchONNXSafetensorsDeberta-V2 HIGH
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OpenMuQ/MuQ-large-msd-iter HF Unverified

Audio-ClassificationPyTorchSafetensorsMusicEnglishChinese HIGH
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monologg/koelectra-base-v3-finetuned-korquad HF Unverified

Question AnsweringTransformersPyTorchSafetensorsElectra MEDIUM
OpenGVLab/GUI-Odyssey HF Unverified

Dataset Card for GUI Odyssey News⭐️ A new and improved version of the GUIOdyssey dataset has been released! 🎉🎉 👉 Please use the latest version and refer to the updated README for the most up-to-date information. We highly recommend using the new version for all training and evaluation! Repository: https://github.com/OpenGVLab/GUI-Odyssey Latest Version of Dataset: hflqf88888/GUIOdyssey Paper: https://arxiv.org/pdf/2406.08451 Introduction GUI Odyssey is… See the full description on the dataset page: https://huggingface.co/datasets/OpenGVLab/GUI-Odyssey.

Language:enSize_categories:1K<n<10KFormat:jsonModality:imageModality:tabularModality:text
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depth-anything/DA3MONO-LARGE HF Unverified

Depth-EstimationDepth-Anything-3SafetensorsComputer-VisionMonocular-DepthMulti-View-Geometry HIGH
PleIAs/common_corpus HF Unverified

Common Corpus Full paper - ICLR 2026 oral Common Corpus is the largest open and permissible licensed text dataset, comprising 2.27 trillion tokens (2,267,302,720,836 tokens). It is a diverse dataset, consisting of books, newspapers, scientific articles, government and legal documents, code, and more. Common Corpus has been created by Pleias in association with several partners. Common Corpus differs from existing open datasets in that it is: Truly Open: contains only data that… See the full description on the dataset page: https://huggingface.co/datasets/PleIAs/common_corpus.

Language:enLanguage:frLanguage:deLanguage:zhLanguage:itLanguage:es
HPLT/HPLT2.0_cleaned HF Unverified

NB: HPLT2.0 is now superseded by a newer release: HPLT3.0 We recommed switching to v3.0, unless you have a compelling reason to stay on 2.0. This is a large-scale collection of web-crawled documents in 191 world languages, produced by the HPLT project. The source of the data is mostly Internet Archive with some additions from Common Crawl. For a detailed description of the dataset, please refer to our website and our pre-print. The Cleaned variant of HPLT Datasets v2.0 This is… See the full description on the dataset page: https://huggingface.co/datasets/HPLT/HPLT2.0_cleaned.

Task_categories:fill-MaskTask_categories:text-GenerationTask_ids:language-ModelingMultilinguality:multilingualLanguage:aceLanguage:af
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segmind/small-sd HF Unverified

Text-to-ImageDiffusersStable-DiffusionStable-Diffusion-DiffusersBase_model:SG161222/Realistic_Vision_V4.0_noVAEBase_model:finetune:SG161222/Realistic_Vision_V4.0_noVAE HIGH
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xbgoose/hubert-large-speech-emotion-recognition-russian-dusha-finetuned HF Unverified

Audio-ClassificationTransformersPyTorchSafetensorsHubertSER HIGH
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Xenova/segformer-b0-finetuned-ade-512-512 HF Unverified

Image-SegmentationTransformers.jsONNXSegformerBase_model:nvidia/segformer-B0-Finetuned-Ade-512-512Base_model:quantized:nvidia/segformer-B0-Finetuned-Ade-512-512 MEDIUM
AI-MO/NuminaMath-CoT HF Unverified

Dataset Card for NuminaMath CoT Dataset Summary Approximately 860k math problems, where each solution is formatted in a Chain of Thought (CoT) manner. The sources of the dataset range from Chinese high school math exercises to US and international mathematics olympiad competition problems. The data were primarily collected from online exam paper PDFs and mathematics discussion forums. The processing steps include (a) OCR from the original PDFs, (b) segmentation… See the full description on the dataset page: https://huggingface.co/datasets/AI-MO/NuminaMath-CoT.

Task_categories:text-GenerationLanguage:enSize_categories:100K<n<1MFormat:parquetModality:textLibrary:datasets
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John6666/prefect-illustrious-xl-v3-sdxl HF PQC Verified

Text-to-ImageDiffusersSafetensorsStable-DiffusionStable-Diffusion-XlAnime HIGH
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nvidia/segformer-b1-finetuned-ade-512-512 HF Unverified

Image-SegmentationTransformersPyTorchTfSegformerVision MEDIUM
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Jzuluaga/accent-id-commonaccent_ecapa HF Unverified

Audio-ClassificationSpeechbrainEmbeddingsAccentIdentificationPyTorch MEDIUM
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John6666/amanatsu-illustrious-v11-sdxl HF PQC Verified

Text-to-ImageDiffusersSafetensorsStable-DiffusionStable-Diffusion-XlAnime HIGH
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LiheYoung/depth-anything-large-hf HF PQC Verified

Depth-EstimationTransformersSafetensorsDepth_anythingVision HIGH
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krea/Krea-2-Turbo HF Unverified

Text-to-ImageDiffusersSafetensorsBase_model:krea/Krea-2-RawBase_model:finetune:krea/Krea-2-RawDiffusers:Krea2Pipeline CRITICAL
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MoritzLaurer/mDeBERTa-v3-base-mnli-xnli HF Unverified

Zero-Shot ClassificationTransformersPyTorchONNXSafetensorsDeberta-V2 HIGH
secemp9/arxiv-complete HF Unverified

arXiv Complete Corpus A snapshot of arXiv's metadata, version history, submission files and rendered documents. It covers 3,148,796 papers and includes file contents, paths, sizes and SHA-256 digests. Metadata comes from arXiv's OAI-PMH arXivRaw interface; files come from the GCS mirror, S3 source archives and direct PDF fetches. This release holds a PDF for 99.47% of papers and 99.54% of versions reported with a non-zero submission size. It is a one-off snapshot; coverage gaps… See the full description on the dataset page: https://huggingface.co/datasets/secemp9/arxiv-complete.

Task_categories:text-GenerationTask_categories:text-RetrievalLanguage:enSize_categories:100M<n<1BFormat:parquetModality:tabular
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John6666/obsession-illustriousxl-v10-sdxl HF PQC Verified

Text-to-ImageDiffusersSafetensorsStable-DiffusionStable-Diffusion-XlAnime HIGH
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