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    Nemotron 3.5 Bolt

    Nemotron 3.5 Bolt

    24GB multimodal MoE model for local agents, coding, and reasoning

    NVIDIA Nemotron 3.5 Bolt 74B-A9B 24GB is an open-weight vision-language model optimized for running autonomous AI agents locally within a 24GB memory footprint. Compressed from Nemotron 3.5 Super VL using NVIDIA's Star Elastic method, it contains 74B total parameters with 9B active per token. Its hybrid Mamba-2–Transformer LatentMoE architecture integrates a C-RADIO v4-H vision encoder for understanding text, images, and video. The model supports a 256K-token context window and uses native...
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