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Facet-exact search over a curated, verified, license-known corpus — filter chips combine, and the filter state lives in the URL for sharing.
| Model | Provider | License | Size | Torrent | Magnet |
|---|---|---|---|---|---|
| xlm-roberta_punctuation_fullstop_truecase | 1-800-BAD-CODE | apache-2.0 | 2.08 GB | ⬇️ | 🧲 |
| vit-base-nsfw-detector | AdamCodd | apache-2.0 | 328.5 MB | ⬇️ | 🧲 |
| gte-Qwen2-1.5B-instruct | Alibaba-NLP | apache-2.0 | 6.63 GB | ⬇️ | 🧲 |
| gte-base-en-v1.5 | Alibaba-NLP | apache-2.0 | 522.7 MB | ⬇️ | 🧲 |
| gte-large-en-v1.5 | Alibaba-NLP | apache-2.0 | 1.62 GB | ⬇️ | 🧲 |
| gte-multilingual-base | Alibaba-NLP | apache-2.0 | 600.5 MB | ⬇️ | 🧲 |
| gte-multilingual-reranker-base | Alibaba-NLP | apache-2.0 | 600.1 MB | ⬇️ | 🧲 |
| gte-reranker-modernbert-base | Alibaba-NLP | apache-2.0 | 574.2 MB | ⬇️ | 🧲 |
| Bangla-twoclass-Sentiment-Analyzer | Arunavaonly | mit | 2.09 GB | ⬇️ | 🧲 |
| bert-log-anomaly-detection | AungMoonLord | apache-2.0 | 418.6 MB | ⬇️ | 🧲 |
| bge-base-en-v1.5 | BAAI | mit | 836.4 MB | ⬇️ | 🧲 |
| bge-base-zh-v1.5 | BAAI | mit | 390.7 MB | ⬇️ | 🧲 |
| bge-large-en-v1.5 | BAAI | mit | 2.50 GB | ⬇️ | 🧲 |
| bge-large-zh-v1.5 | BAAI | mit | 1.21 GB | ⬇️ | 🧲 |
| bge-m3 | BAAI | mit | 4.27 GB | ⬇️ | 🧲 |
| bge-multilingual-gemma2 | BAAI | gemma | 34.45 GB | ⬇️ | 🧲 |
| bge-reranker-base | BAAI | mit | 2.09 GB | ⬇️ | 🧲 |
| bge-reranker-large | BAAI | mit | 6.28 GB | ⬇️ | 🧲 |
| bge-reranker-v2-m3 | BAAI | apache-2.0 | 2.14 GB | ⬇️ | 🧲 |
| bge-small-en-v1.5 | BAAI | mit | 255.6 MB | ⬇️ | 🧲 |
| bge-small-zh-v1.5 | BAAI | mit | 183.3 MB | ⬇️ | 🧲 |
| adetailer | Bingsu | apache-2.0 | 313.1 MB | ⬇️ | 🧲 |
| UI-TARS-1.5-7B | ByteDance-Seed | apache-2.0 | 30.91 GB | ⬇️ | 🧲 |
| clipseg-rd64-refined | CIDAS | apache-2.0 | 1.12 GB | ⬇️ | 🧲 |
| xlm-roberta-base-ner-hrl | Davlan | afl-3.0 | 2.07 GB | ⬇️ | 🧲 |
| inclusively-classification | E-MIMIC | cc-by-nc-sa-4.0 | 844.9 MB | ⬇️ | 🧲 |
| cryptobert | ElKulako | mit | 954.3 MB | ⬇️ | 🧲 |
| roberta-base | FacebookAI | mit | 1.55 GB | ⬇️ | 🧲 |
| roberta-large | FacebookAI | mit | 2.65 GB | ⬇️ | 🧲 |
| xlm-roberta-base | FacebookAI | mit | 2.09 GB | ⬇️ | 🧲 |
| xlm-roberta-large | FacebookAI | mit | 6.30 GB | ⬇️ | 🧲 |
| nsfw_image_detection | Falconsai | apache-2.0 | 1.36 GB | ⬇️ | 🧲 |
| nsfw_image_detector | Freepik | mit | 164.7 MB | ⬇️ | 🧲 |
| BioLORD-2023 | FremyCompany | other | 836.3 MB | ⬇️ | 🧲 |
| vakyansh-wav2vec2-tamil-tam-250 | Harveenchadha | mit | 360.2 MB | ⬇️ | 🧲 |
| SmolVLM-256M-Instruct | HuggingFaceTB | apache-2.0 | 493.9 MB | ⬇️ | 🧲 |
| SmolVLM-500M-Instruct | HuggingFaceTB | apache-2.0 | 972.6 MB | ⬇️ | 🧲 |
| SmolVLM2-500M-Video-Instruct | HuggingFaceTB | apache-2.0 | 1.90 GB | ⬇️ | 🧲 |
| grounding-dino-base | IDEA-Research | apache-2.0 | 1.74 GB | ⬇️ | 🧲 |
| grounding-dino-tiny | IDEA-Research | apache-2.0 | 1.29 GB | ⬇️ | 🧲 |
| saiga_llama3_8b | IlyaGusev | other | 14.97 GB | ⬇️ | 🧲 |
| dpt-hybrid-midas | Intel | apache-2.0 | 467.0 MB | ⬇️ | 🧲 |
| wav2vec2-large-voxrex-swedish | KBLab | cc0-1.0 | 2.35 GB | ⬇️ | 🧲 |
| filipino-wav2vec2-l-xls-r-300m-official | Khalsuu | apache-2.0 | 1.18 GB | ⬇️ | 🧲 |
| EXAONE-3.5-7.8B-Instruct | LGAI-EXAONE | other | 29.13 GB | ⬇️ | 🧲 |
| LFM2.5-1.2B-Instruct | LiquidAI | other | 2.18 GB | ⬇️ | 🧲 |
| videomae-base | MCG-NJU | cc-by-nc-4.0 | 718.9 MB | ⬇️ | 🧲 |
| mms-300m-1130-forced-aligner | MahmoudAshraf | cc-by-nc-4.0 | 2.35 GB | ⬇️ | 🧲 |
| marqo-fashionSigLIP | Marqo | apache-2.0 | 2.27 GB | ⬇️ | 🧲 |
| mdbr-leaf-ir | MongoDB | apache-2.0 | 321.5 MB | ⬇️ | 🧲 |
| DeBERTa-v3-base-mnli-fever-anli | MoritzLaurer | mit | 714.3 MB | ⬇️ | 🧲 |
| mDeBERTa-v3-base-mnli-xnli | MoritzLaurer | mit | 1.06 GB | ⬇️ | 🧲 |
| mDeBERTa-v3-base-xnli-multilingual-nli-2mil7 | MoritzLaurer | mit | 1.06 GB | ⬇️ | 🧲 |
| TiRex | NX-AI | other | 270.4 MB | ⬇️ | 🧲 |
| nb-wav2vec2-1b-bokmaal-v2 | NbAiLab | apache-2.0 | 11.14 GB | ⬇️ | 🧲 |
| nb-wav2vec2-1b-nynorsk | NbAiLab | apache-2.0 | 10.89 GB | ⬇️ | 🧲 |
| pubmedbert-base-embeddings | NeuML | apache-2.0 | 836.3 MB | ⬇️ | 🧲 |
| Hermes-3-Llama-3.1-8B | NousResearch | llama3 | 14.97 GB | ⬇️ | 🧲 |
| InternVL2-1B | OpenGVLab | mit | 1.75 GB | ⬇️ | 🧲 |
| InternVL2-2B | OpenGVLab | mit | 4.11 GB | ⬇️ | 🧲 |
| InternVL2_5-4B | OpenGVLab | mit | 6.92 GB | ⬇️ | 🧲 |
| InternVL3-1B | OpenGVLab | apache-2.0 | 1.76 GB | ⬇️ | 🧲 |
| PP-DocLayoutV3_safetensors | PaddlePaddle | apache-2.0 | 127.1 MB | ⬇️ | 🧲 |
| PP-LCNet_x1_0_doc_ori | PaddlePaddle | apache-2.0 | 6.6 MB | ⬇️ | 🧲 |
| PP-OCRv5_server_det | PaddlePaddle | apache-2.0 | 84.3 MB | ⬇️ | 🧲 |
| UVDoc | PaddlePaddle | apache-2.0 | 30.8 MB | ⬇️ | 🧲 |
| en_PP-OCRv5_mobile_rec | PaddlePaddle | apache-2.0 | 7.6 MB | ⬇️ | 🧲 |
| rtdetr_r101vd_coco_o365 | PekingU | apache-2.0 | 293.1 MB | ⬇️ | 🧲 |
| rtdetr_v2_r18vd | PekingU | apache-2.0 | 77.2 MB | ⬇️ | 🧲 |
| Fanar-1-9B-Instruct | QCRI | apache-2.0 | 16.38 GB | ⬇️ | 🧲 |
| Qwen-Image | Qwen | apache-2.0 | 53.74 GB | ⬇️ | 🧲 |
| Qwen2-0.5B | Qwen | apache-2.0 | 953.3 MB | ⬇️ | 🧲 |
| Qwen2-1.5B-Instruct | Qwen | apache-2.0 | 2.89 GB | ⬇️ | 🧲 |
| Qwen2-7B-Instruct | Qwen | apache-2.0 | 14.20 GB | ⬇️ | 🧲 |
| Qwen2-VL-2B-Instruct | Qwen | apache-2.0 | 4.13 GB | ⬇️ | 🧲 |
| Qwen2-VL-7B-Instruct | Qwen | apache-2.0 | 15.45 GB | ⬇️ | 🧲 |
| Qwen2.5-0.5B-Instruct | Qwen | apache-2.0 | 953.3 MB | ⬇️ | 🧲 |
| Qwen2.5-1.5B-Instruct | Qwen | apache-2.0 | 2.89 GB | ⬇️ | 🧲 |
| Qwen2.5-14B-Instruct | Qwen | apache-2.0 | 27.52 GB | ⬇️ | 🧲 |
| Qwen2.5-3B-Instruct | Qwen | other | 5.76 GB | ⬇️ | 🧲 |
| Qwen2.5-7B-Instruct | Qwen | apache-2.0 | 14.20 GB | ⬇️ | 🧲 |
| Qwen2.5-Coder-1.5B-Instruct | Qwen | apache-2.0 | 2.89 GB | ⬇️ | 🧲 |
| Qwen2.5-Coder-14B-Instruct | Qwen | apache-2.0 | 27.52 GB | ⬇️ | 🧲 |
| Qwen2.5-Coder-7B-Instruct | Qwen | apache-2.0 | 14.20 GB | ⬇️ | 🧲 |
| Qwen2.5-Math-1.5B | Qwen | apache-2.0 | 2.89 GB | ⬇️ | 🧲 |
| Qwen2.5-VL-7B-Instruct | Qwen | apache-2.0 | 15.46 GB | ⬇️ | 🧲 |
| Qwen3-0.6B | Qwen | apache-2.0 | 1.41 GB | ⬇️ | 🧲 |
| Qwen3-1.7B | Qwen | apache-2.0 | 3.80 GB | ⬇️ | 🧲 |
| Qwen3-14B | Qwen | apache-2.0 | 27.52 GB | ⬇️ | 🧲 |
| Qwen3-30B-A3B-Instruct-2507-FP8 | Qwen | apache-2.0 | 29.05 GB | ⬇️ | 🧲 |
| Qwen3-4B | Qwen | apache-2.0 | 7.51 GB | ⬇️ | 🧲 |
| Qwen3-4B-Thinking-2507 | Qwen | apache-2.0 | 7.51 GB | ⬇️ | 🧲 |
| Qwen3-8B | Qwen | apache-2.0 | 15.27 GB | ⬇️ | 🧲 |
| Qwen3-ASR-0.6B | Qwen | apache-2.0 | 1.75 GB | ⬇️ | 🧲 |
| Qwen3-ASR-1.7B | Qwen | apache-2.0 | 4.38 GB | ⬇️ | 🧲 |
| Qwen3-Coder-30B-A3B-Instruct-FP8 | Qwen | apache-2.0 | 29.05 GB | ⬇️ | 🧲 |
| Qwen3-Embedding-0.6B | Qwen | apache-2.0 | 1.12 GB | ⬇️ | 🧲 |
| Qwen3-Embedding-4B | Qwen | apache-2.0 | 7.51 GB | ⬇️ | 🧲 |
| Qwen3-VL-4B-Instruct | Qwen | apache-2.0 | 8.28 GB | ⬇️ | 🧲 |
| Qwen3-VL-8B-Instruct | Qwen | apache-2.0 | 16.34 GB | ⬇️ | 🧲 |
| Qwen3.5-9B | Qwen | apache-2.0 | 18.00 GB | ⬇️ | 🧲 |
| Qwen3.6-35B-A3B-FP8 | Qwen | apache-2.0 | 34.92 GB | ⬇️ | 🧲 |
| Qwen3.8-27B | Qwen | apache-2.0 | 51.77 GB | ⬇️ | 🧲 |
| Wan2.2-TI2V-5B-Diffusers | Wan-AI | apache-2.0 | 31.85 GB | ⬇️ | 🧲 |
| Olmo-3-7B-Instruct | allenai | apache-2.0 | 13.60 GB | ⬇️ | 🧲 |
| Unlimited-OCR | baidu | mit | 6.31 GB | ⬇️ | 🧲 |
| FLUX.2-klein-4B | black-forest-labs | apache-2.0 | 22.11 GB | ⬇️ | 🧲 |
| DeepSeek-OCR | deepseek-ai | mit | 6.23 GB | ⬇️ | 🧲 |