feadxus/ z_image_turbo:Q6_K

650 1 month ago

tools thinking
... /
model
9d603172aa6b · 5.9GB
    Metadata
  • general.architecture
    lumina2
  • general.file_type
    Q6_K
    • Tensor
  • cap_embedder.0.weight
    F32
    [2560]
  • cap_embedder.1.bias
    F32
    [3840]
  • cap_embedder.1.weight
    F16
    [2560, 3840]
  • cap_pad_token
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    [3840, 1]
  • context_refiner.0.attention.k_norm.weight
    F32
    [128]
  • context_refiner.0.attention.out.weight
    F16
    [3840, 3840]
  • context_refiner.0.attention.q_norm.weight
    F32
    [128]
  • context_refiner.0.attention.qkv.weight
    BF16
    [3840, 11520]
  • context_refiner.0.attention_norm1.weight
    F32
    [3840]
  • context_refiner.0.attention_norm2.weight
    F32
    [3840]
  • context_refiner.0.feed_forward.w1.weight
    F16
    [3840, 10240]
  • context_refiner.0.feed_forward.w2.weight
    F16
    [10240, 3840]
  • context_refiner.0.feed_forward.w3.weight
    F16
    [3840, 10240]
  • context_refiner.0.ffn_norm1.weight
    F32
    [3840]
  • context_refiner.0.ffn_norm2.weight
    F32
    [3840]
  • context_refiner.1.attention.k_norm.weight
    F32
    [128]
  • context_refiner.1.attention.out.weight
    F16
    [3840, 3840]
  • context_refiner.1.attention.q_norm.weight
    F32
    [128]
  • context_refiner.1.attention.qkv.weight
    BF16
    [3840, 11520]
  • context_refiner.1.attention_norm1.weight
    F32
    [3840]
  • context_refiner.1.attention_norm2.weight
    F32
    [3840]
  • context_refiner.1.feed_forward.w1.weight
    F16
    [3840, 10240]
  • context_refiner.1.feed_forward.w2.weight
    F16
    [10240, 3840]
  • context_refiner.1.feed_forward.w3.weight
    F16
    [3840, 10240]
  • context_refiner.1.ffn_norm1.weight
    F32
    [3840]
  • context_refiner.1.ffn_norm2.weight
    F32
    [3840]
  • final_layer.adaLN_modulation.1.bias
    F32
    [3840]
  • final_layer.adaLN_modulation.1.weight
    F16
    [256, 3840]
  • final_layer.linear.bias
    F32
    [64]
  • final_layer.linear.weight
    F16
    [3840, 64]
  • layers.0.adaLN_modulation.0.bias
    F32
    [15360]
  • layers.0.adaLN_modulation.0.weight
    Q6_K
    [256, 15360]
  • layers.0.attention.k_norm.weight
    F32
    [128]
  • layers.0.attention.out.weight
    Q6_K
    [3840, 3840]
  • layers.0.attention.q_norm.weight
    F32
    [128]
  • layers.0.attention.qkv.weight
    Q6_K
    [3840, 11520]
  • layers.0.attention_norm1.weight
    F32
    [3840]
  • layers.0.attention_norm2.weight
    F32
    [3840]
  • layers.0.feed_forward.w1.weight
    Q6_K
    [3840, 10240]
  • layers.0.feed_forward.w2.weight
    Q6_K
    [10240, 3840]
  • layers.0.feed_forward.w3.weight
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    [3840, 10240]
  • layers.0.ffn_norm1.weight
    F32
    [3840]
  • layers.0.ffn_norm2.weight
    F32
    [3840]
  • layers.1.adaLN_modulation.0.bias
    F32
    [15360]
  • layers.1.adaLN_modulation.0.weight
    Q6_K
    [256, 15360]
  • layers.1.attention.k_norm.weight
    F32
    [128]
  • layers.1.attention.out.weight
    Q6_K
    [3840, 3840]
  • layers.1.attention.q_norm.weight
    F32
    [128]
  • layers.1.attention.qkv.weight
    Q6_K
    [3840, 11520]
  • layers.1.attention_norm1.weight
    F32
    [3840]
  • layers.1.attention_norm2.weight
    F32
    [3840]
  • layers.1.feed_forward.w1.weight
    Q6_K
    [3840, 10240]
  • layers.1.feed_forward.w2.weight
    Q6_K
    [10240, 3840]
  • layers.1.feed_forward.w3.weight
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    [3840, 10240]
  • layers.1.ffn_norm1.weight
    F32
    [3840]
  • layers.1.ffn_norm2.weight
    F32
    [3840]
  • layers.2.adaLN_modulation.0.bias
    F32
    [15360]
  • layers.2.adaLN_modulation.0.weight
    Q6_K
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  • layers.2.attention.k_norm.weight
    F32
    [128]
  • layers.2.attention.out.weight
    Q6_K
    [3840, 3840]
  • layers.2.attention.q_norm.weight
    F32
    [128]
  • layers.2.attention.qkv.weight
    Q6_K
    [3840, 11520]
  • layers.2.attention_norm1.weight
    F32
    [3840]
  • layers.2.attention_norm2.weight
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    [3840]
  • layers.2.feed_forward.w1.weight
    Q6_K
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  • layers.2.feed_forward.w2.weight
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  • layers.2.feed_forward.w3.weight
    Q6_K
    [3840, 10240]
  • layers.2.ffn_norm1.weight
    F32
    [3840]
  • layers.2.ffn_norm2.weight
    F32
    [3840]
  • layers.3.adaLN_modulation.0.bias
    F32
    [15360]
  • layers.3.adaLN_modulation.0.weight
    Q6_K
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  • layers.3.attention.k_norm.weight
    F32
    [128]
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    Q6_K
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  • layers.3.attention.q_norm.weight
    F32
    [128]
  • layers.3.attention.qkv.weight
    Q6_K
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  • layers.3.attention_norm1.weight
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    [3840]
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  • layers.3.feed_forward.w2.weight
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  • layers.3.feed_forward.w3.weight
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    F32
    [3840]
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    F32
    [3840]
  • layers.4.adaLN_modulation.0.bias
    F32
    [15360]
  • layers.4.adaLN_modulation.0.weight
    Q6_K
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  • layers.4.attention.k_norm.weight
    F32
    [128]
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    Q6_K
    [3840, 3840]
  • layers.4.attention.q_norm.weight
    F32
    [128]
  • layers.4.attention.qkv.weight
    Q6_K
    [3840, 11520]
  • layers.4.attention_norm1.weight
    F32
    [3840]
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    F32
    [3840]
  • layers.4.feed_forward.w1.weight
    Q6_K
    [3840, 10240]
  • layers.4.feed_forward.w2.weight
    Q6_K
    [10240, 3840]
  • layers.4.feed_forward.w3.weight
    Q6_K
    [3840, 10240]
  • layers.4.ffn_norm1.weight
    F32
    [3840]
  • layers.4.ffn_norm2.weight
    F32
    [3840]
  • layers.5.adaLN_modulation.0.bias
    F32
    [15360]
  • layers.5.adaLN_modulation.0.weight
    Q6_K
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  • layers.5.attention.k_norm.weight
    F32
    [128]
  • layers.5.attention.out.weight
    Q6_K
    [3840, 3840]
  • layers.5.attention.q_norm.weight
    F32
    [128]
  • layers.5.attention.qkv.weight
    Q6_K
    [3840, 11520]
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    F32
    [3840]
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    F32
    [3840]
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    [3840, 10240]
  • layers.5.feed_forward.w2.weight
    Q6_K
    [10240, 3840]
  • layers.5.feed_forward.w3.weight
    Q6_K
    [3840, 10240]
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    F32
    [3840]
  • layers.5.ffn_norm2.weight
    F32
    [3840]
  • layers.6.adaLN_modulation.0.bias
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    [15360]
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    F32
    [128]
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    [3840, 3840]
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    [128]
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    [3840]
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    [3840]
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  • layers.6.feed_forward.w3.weight
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    [3840]
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    [3840]
  • layers.7.adaLN_modulation.0.bias
    F32
    [15360]
  • layers.7.adaLN_modulation.0.weight
    Q6_K
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    F32
    [128]
  • layers.7.attention.out.weight
    Q6_K
    [3840, 3840]
  • layers.7.attention.q_norm.weight
    F32
    [128]
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    Q6_K
    [3840, 11520]
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    F32
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    [3840]
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