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AI 모델 84755

• Qwen3.5-0.8B-Japanese-SFT-v2-GGUF↗

  Takenoko12345678

• limite-1b-violetto-GGUF-LiteRT↗

  Tdamre

• openbuddy-openllama-7B-v12-bf16-GGUF↗

  TheBloke

• vicuna-33B-GGUF↗

  TheBloke

• gte-base-zh↗

  thenlper

• DoItYourself-v1-2B↗

  theprint

• SN3810↗

  thieu86

• sundial-base-128m↗

  thuml

  🚩 **News (2025.08)** Sundial has been integrated into Apache IoTDB, a native time-series database. 🚩 **News (2025.05)** Get **1st MASE** on the GIFT-Eval Benchmark. 🚩 **News (2025.02)** Get **1st MSE/MAE** zero-shot performance on Time-Series-Library datasets.

• eca_nfnet_l1.ra2_in1k↗

  timm

• repvit_m1.dist_in1k↗

  timm

  A RepViT image classification model. Trained on ImageNet-1k with distillation by paper authors. - **Model Type:** Image classification / feature backbone - **Model Stats:** - Params (M): 5.5 - GMACs: 0.8 - Activations (M): 7.4 - Image size: 224 x 224 - **Papers:** - RepViT: Revisiting Mobile CNN From ViT Perspective: https://arxiv.org/abs/2307.09283 - **Original:** https://github.com/THU-MIG/RepViT - **Dataset:** ImageNet-1k