llava:34b

8.6M 1 year ago

🌋 LLaVA is a novel end-to-end trained large multimodal model that combines a vision encoder and Vicuna for general-purpose visual and language understanding. Updated to version 1.6.

vision 7b 13b 34b
... /
projector
83720bd8438c · 700MB
    Metadata
  • general.architecture
    clip
  • general.file_type
    F16
  • clip.has_llava_projector
    true
  • clip.has_text_encoder
    false
  • clip.has_vision_encoder
    true
  • clip.projector_type
    mlp
  • clip.use_gelu
    false
  • clip.vision.attention.head_count
    16
  • clip.vision.attention.layer_norm_epsilon
    1e-05
  • clip.vision.block_count
    23
  • clip.vision.embedding_length
    1024
  • clip.vision.feed_forward_length
    4096
  • clip.vision.image_mean
    [0.48145467, 0.4578275, 0.40821072]
  • clip.vision.image_size
    336
  • clip.vision.image_std
    [0.26862955, 0.2613026, 0.2757771]
  • clip.vision.patch_size
    14
  • clip.vision.projection_dim
    768
    • Tensor
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    F32
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    F16
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    F32
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    F16
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    F32
    [1024]
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    F16
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    F32
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    F16
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  • v.blk.17.ffn_up.bias
    F32
    [1024]
  • v.blk.17.ffn_up.weight
    F16
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    F32
    [1024]
  • v.blk.17.ln1.weight
    F32
    [1024]
  • v.blk.17.ln2.bias
    F32
    [1024]
  • v.blk.17.ln2.weight
    F32
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    • v.blk.18
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    F32
    [1024]
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    F16
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    F32
    [1024]
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    F16
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    F32
    [1024]
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    F16
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    F32
    [1024]
  • v.blk.18.attn_v.weight
    F16
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  • v.blk.18.ffn_down.bias
    F32
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  • v.blk.18.ffn_down.weight
    F16
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  • v.blk.18.ffn_up.bias
    F32
    [1024]
  • v.blk.18.ffn_up.weight
    F16
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  • v.blk.18.ln1.bias
    F32
    [1024]
  • v.blk.18.ln1.weight
    F32
    [1024]
  • v.blk.18.ln2.bias
    F32
    [1024]
  • v.blk.18.ln2.weight
    F32
    [1024]
    • v.blk.19
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    F32
    [1024]
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    F16
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    F32
    [1024]
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    F16
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  • v.blk.19.attn_q.bias
    F32
    [1024]
  • v.blk.19.attn_q.weight
    F16
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  • v.blk.19.attn_v.bias
    F32
    [1024]
  • v.blk.19.attn_v.weight
    F16
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  • v.blk.19.ffn_down.bias
    F32
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  • v.blk.19.ffn_down.weight
    F16
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  • v.blk.19.ffn_up.bias
    F32
    [1024]
  • v.blk.19.ffn_up.weight
    F16
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  • v.blk.19.ln1.bias
    F32
    [1024]
  • v.blk.19.ln1.weight
    F32
    [1024]
  • v.blk.19.ln2.bias
    F32
    [1024]
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    F32
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    F32
    [1024]
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    F16
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    F32
    [1024]
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    F16
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    F32
    [1024]
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    F16
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    F32
    [1024]
  • v.blk.20.attn_v.weight
    F16
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    F32
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  • v.blk.20.ffn_down.weight
    F16
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  • v.blk.20.ffn_up.bias
    F32
    [1024]
  • v.blk.20.ffn_up.weight
    F16
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  • v.blk.20.ln1.bias
    F32
    [1024]
  • v.blk.20.ln1.weight
    F32
    [1024]
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    F32
    [1024]
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    F32
    [1024]
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    F32
    [1024]
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    F16
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    F32
    [1024]
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    F16
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    F32
    [1024]
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    F16
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    F32
    [1024]
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    F16
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  • v.blk.21.ffn_down.bias
    F32
    [4096]
  • v.blk.21.ffn_down.weight
    F16
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  • v.blk.21.ffn_up.bias
    F32
    [1024]
  • v.blk.21.ffn_up.weight
    F16
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  • v.blk.21.ln1.bias
    F32
    [1024]
  • v.blk.21.ln1.weight
    F32
    [1024]
  • v.blk.21.ln2.bias
    F32
    [1024]
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    F32
    [1024]
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    F32
    [1024]
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    F16
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    F32
    [1024]
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    F16
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    F32
    [1024]
  • v.blk.22.attn_q.weight
    F16
    [1024, 1024]
  • v.blk.22.attn_v.bias
    F32
    [1024]
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    F16
    [1024, 1024]
  • v.blk.22.ffn_down.bias
    F32
    [4096]
  • v.blk.22.ffn_down.weight
    F16
    [1024, 4096]
  • v.blk.22.ffn_up.bias
    F32
    [1024]
  • v.blk.22.ffn_up.weight
    F16
    [4096, 1024]
  • v.blk.22.ln1.bias
    F32
    [1024]
  • v.blk.22.ln1.weight
    F32
    [1024]
  • v.blk.22.ln2.bias
    F32
    [1024]
  • v.blk.22.ln2.weight
    F32
    [1024]
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    F32
    [1024]
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    F16
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    F16
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  • v.pre_ln.bias
    F32
    [1024]
  • v.pre_ln.weight
    F32
    [1024]