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AI モデル 85003

• 5GEd8PcDzCn7eGrzU4dLe6AwYpN8c28hEv76F64F65xBFXCj_vgg↗

  ven1228

• comfyui-nsfw-model-pack↗

  VirtuaVixenTube

• vela3-fast↗

  vllm-sr

• Obscura_Remova↗

  WepeNerd

• flux2-klein-9b-uncensored-text-encoder-Q6_K-GGUF↗

  wy8edhuh

• llama-3.2-vision-tiny-random↗

  yujiepan

• peeLoraV1↗

  Adam3DX

• roberta-base-cuad↗

  akdeniz27

• Molmo2-4B↗

  allenai

  Molmo2 is a family of open vision-language models developed by the Allen Institute for AI (Ai2) that support image, video and multi-image understanding and grounding. Molmo2 models are trained on publicly available third party datasets as referenced in our technical report and Molmo2 data, a collection of datasets with highly-curated image-text and video-text pairs. It has state-of-the-art performance among multimodal models with a similar size. You can find all models in the Molmo2 family here. **Learn more** about the Molmo2 family in our announcement blog post. Molmo2-4B is based on Qwen3-4B-Instruct and uses SigLIP 2 as vision backbone. It outperforms others in the class of open weight and data models on short videos, counting, and captioning, and is competitive on long-videos.

• prism-os-functiongemma-r3↗

  AppleLampsX