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AI モデル 84760

• Qwen2.5-Coder-7B-Instruct-Q8_0-GGUF↗

  smcleod

• vit-base-patch16-224-in21k-enhanced-ham10000↗

  spycoder

• dpn68.mx_in1k↗

  timm

• edgenext_x_small.in1k↗

  timm

• tf_mobilenetv3_small_100.in1k↗

  timm

• twins_pcpvt_base.in1k↗

  timm

• isaacbot-GGUF↗

  tinyopsec

• Cydonia-24B-v4.3-heretic-v4-Q8-MLX↗

  tstepspam

• NVIDIA-Nemotron-3-Nano-Omni-30B-A3B-Reasoning-GGUF↗

  unsloth

  NVIDIA Nemotron 3 Nano Omni is a multimodal large language model that unifies video, audio, image, and text understanding to support enterprise-grade Q&A, summarization, transcription, and document intelligence workflows. It extends the Nemotron Nano family with integrated video+speech comprehension, Graphical User Interface (GUI), Optical Character Recognition (OCR), and speech transcription capabilities, enabling end-to-end processing of rich enterprise content such as meeting recordings, M&E assets, training videos, and complex business documents. NVIDIA Nemotron 3 Nano Omni was developed by NVIDIA as part of the Nemotron model family. This model was improved using Qwen3-VL-30B-A3B-Instruct, Qwen3.5-122B-A10B, Qwen3.5-397B-A17B, Qwen2.5-VL-72B-Instruct, and gpt-oss-120b. For more information, please see the Training Dataset section below. This model is designed for enterprise customers requiring multimodal understanding capabilities. Expected users include: - Customer service applications (e.g., Doordash video of drop-off at a given address via OCR, drive-thru order verification) - Media and Entertainment (M&E) — video and speech analysis, dense captions, video search and summarization - Document intelligence for AI assistants (contracts, SOW/MSA, scientific discovery, financial documents) - GUI automation for AI agentic applications (incident management, agentic search, browser agents, email agents)

• Qwen3-14B-Anemone↗

  vakharwalad23