nemotron-3-super:120b-a12b-q8_0

43 30 minutes ago

NVIDIA Nemotron 3 Super is a 120B open MoE model activating just 12B parameters to deliver maximum compute efficiency and accuracy for complex multi-agent applications.

tools thinking cloud 120b
... /
model
7e614521d8bc · 132GB
    Metadata
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  • nemotron_h_moe.expert_count
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  • nemotron_h_moe.expert_weights_norm
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  • nemotron_h_moe.rope.dimension_count
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  • nemotron_h_moe.rope.freq_base
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  • nemotron_h_moe.ssm.group_count
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  • nemotron_h_moe.ssm.inner_size
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  • nemotron_h_moe.ssm.state_size
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  • nemotron_h_moe.ssm.time_step_rank
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  • tokenizer.ggml.model
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  • mtp.layers.1.mixer.experts.494.up_proj.weight
    Q8_0
    [1024, 2688]
  • mtp.layers.1.mixer.experts.495.down_proj.weight
    Q8_0
    [2688, 1024]
  • mtp.layers.1.mixer.experts.495.up_proj.weight
    Q8_0
    [1024, 2688]
  • mtp.layers.1.mixer.experts.496.down_proj.weight
    Q8_0
    [2688, 1024]
  • mtp.layers.1.mixer.experts.496.up_proj.weight
    Q8_0
    [1024, 2688]
  • mtp.layers.1.mixer.experts.497.down_proj.weight
    Q8_0
    [2688, 1024]
  • mtp.layers.1.mixer.experts.497.up_proj.weight
    Q8_0
    [1024, 2688]
  • mtp.layers.1.mixer.experts.498.down_proj.weight
    Q8_0
    [2688, 1024]
  • mtp.layers.1.mixer.experts.498.up_proj.weight
    Q8_0
    [1024, 2688]
  • mtp.layers.1.mixer.experts.499.down_proj.weight
    Q8_0
    [2688, 1024]
  • mtp.layers.1.mixer.experts.499.up_proj.weight
    Q8_0
    [1024, 2688]
  • mtp.layers.1.mixer.experts.500.down_proj.weight
    Q8_0
    [2688, 1024]
  • mtp.layers.1.mixer.experts.500.up_proj.weight
    Q8_0
    [1024, 2688]
  • mtp.layers.1.mixer.experts.501.down_proj.weight
    Q8_0
    [2688, 1024]
  • mtp.layers.1.mixer.experts.501.up_proj.weight
    Q8_0
    [1024, 2688]
  • mtp.layers.1.mixer.experts.502.down_proj.weight
    Q8_0
    [2688, 1024]
  • mtp.layers.1.mixer.experts.502.up_proj.weight
    Q8_0
    [1024, 2688]
  • mtp.layers.1.mixer.experts.503.down_proj.weight
    Q8_0
    [2688, 1024]
  • mtp.layers.1.mixer.experts.503.up_proj.weight
    Q8_0
    [1024, 2688]
  • mtp.layers.1.mixer.experts.504.down_proj.weight
    Q8_0
    [2688, 1024]
  • mtp.layers.1.mixer.experts.504.up_proj.weight
    Q8_0
    [1024, 2688]
  • mtp.layers.1.mixer.experts.505.down_proj.weight
    Q8_0
    [2688, 1024]
  • mtp.layers.1.mixer.experts.505.up_proj.weight
    Q8_0
    [1024, 2688]
  • mtp.layers.1.mixer.experts.506.down_proj.weight
    Q8_0
    [2688, 1024]
  • mtp.layers.1.mixer.experts.506.up_proj.weight
    Q8_0
    [1024, 2688]
  • mtp.layers.1.mixer.experts.507.down_proj.weight
    Q8_0
    [2688, 1024]
  • mtp.layers.1.mixer.experts.507.up_proj.weight
    Q8_0
    [1024, 2688]
  • mtp.layers.1.mixer.experts.508.down_proj.weight
    Q8_0
    [2688, 1024]
  • mtp.layers.1.mixer.experts.508.up_proj.weight
    Q8_0
    [1024, 2688]
  • mtp.layers.1.mixer.experts.509.down_proj.weight
    Q8_0
    [2688, 1024]
  • mtp.layers.1.mixer.experts.509.up_proj.weight
    Q8_0
    [1024, 2688]
  • mtp.layers.1.mixer.experts.510.down_proj.weight
    Q8_0
    [2688, 1024]
  • mtp.layers.1.mixer.experts.510.up_proj.weight
    Q8_0
    [1024, 2688]
  • mtp.layers.1.mixer.experts.511.down_proj.weight
    Q8_0
    [2688, 1024]
  • mtp.layers.1.mixer.experts.511.up_proj.weight
    Q8_0
    [1024, 2688]
  • output.weight
    Q8_0
    [4096, 131072]
  • output_norm.weight
    F32
    [4096]