llmdet_swin_tiny_hf
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ObjEmbed-2B
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View details ↗autoencoder-kl-dummy
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View details ↗unet-glide-text2im-dummy
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View details ↗unet-ldm-dummy
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View details ↗unet-ldm-dummy-update
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View details ↗vqgan-dummy
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View details ↗lfm3-1.7b-web
fusorlabs基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗asr4all-l
futo-org基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗asr4all-m
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View details ↗asr4all-s
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View details ↗futo-swipe
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View details ↗Eva-4B-V2
FutureMa基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗FxAI-decision-model
Futurix-AIFxAI Decision Model is a trained decision classifier on the Qwen/Qwen3.8-27B architecture. Given a state, a question and up to 255 candidate options, it returns a calibrated probability distribution over those options. This model is intended for routing, intent classification, multiple-choice decisions, tool selection and structured scoring. It is not intended for autonomous high-stakes decisions, safety-critical control, medical or legal advice, or use without application-specific evaluation and human review.
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View details ↗yolov8_animeface
FuyucchiDataset was made created with 10 000 images manually annotated from safebooru. Split was train 70, val 20, test 10. This model is based on yolov8x6. It has been trained on the said dataset for 300 epoch at 1280px*1280px. It took ~110 hours to train on a RTX A4000. While it doesn't provide a huge mAP50-95, its predictions are always correct on the files I've tested. Confidence could be higher, but the model is very precise.
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View details ↗Fwizzer-R1-3B-EN-v2
fwizzer1基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗Fwizzer-R1-3B-RU
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View details ↗Fwizzer-R1-3B-RU-v2
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View details ↗Fwizzer-R1-3B-ZH-v2
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