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AI モデル 84759

• repvgg_b3.rvgg_in1k↗

  timm

  This model architecture is implemented using `timm`'s flexible BYOBNet (Bring-Your-Own-Blocks Network). BYOBNet allows configuration of: * block / stage layout * stem layout * output stride (dilation) * activation and norm layers * channel and spatial / self-attention layers ...and also includes `timm` features common to many other architectures, including: * stochastic depth * gradient checkpointing * layer-wise LR decay * per-stage feature extraction

• thor-lm-1b↗

  Ultron28

• Qwen2.5-14B-unsloth-bnb-4bit↗

  unsloth

• AIKIA↗

  viv

  This model is fine-tuned to detect offensive language in Greek texts (Twitter & Fiction). - Pretrained on `nlpaueb/bert-base-greek-uncased-v1` - Fine-tuned on a custom offensive language detection dataset, namely the AIKIA corpus. @inproceedings{markantonatou-etal-2024-corpus, title = {The Corpus {AIKIA}: Using Ranking Annotation for Offensive Language Detection in {M}odern {G}reek}, author = {Markantonatou, Stella and Stamou, Vivian and Christodoulou, Christina and Apostolopoulou, Georgia and Balas, Antonis and Ioannakis, George}, editor = {Calzolari, Nicoletta and Kan, Min-Yen and Hoste, Veronique and Lenci, Alessandro and Sakti, Sakriani and Xue, Nianwen}, booktitle = {Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)}, month = {may}, year = {2024}, address = {Torino, Italia}, publisher = {ELRA and ICCL}, url = {https://aclanthology.org/2024.lrec-main.1378}, pages = {15861--15871}

• med-advisor-conversation-4B↗

  vmal

• Minimax_H3_LoRAs↗

  WarmBloodAban

• Qwen3.5-4B-Deckard-HERETIC-UNCENSORED-Thinking-GGUF↗

  WeilJimmer

• Flux-Uncensored-V2↗

  whrw

• evf-sam↗

  YxZhang

• zyr3↗

  zyr-AGENT