🌋 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

1.4M Pulls Updated 8 months ago

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72d6f08a42f6 · 624MB
    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
  • clip.vision.image_size
    336
  • clip.vision.image_std
    0.26862955
  • clip.vision.patch_size
    14
  • clip.vision.projection_dim
    768
  • Tensors
  • Name
    Type
    Shape
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    F32
    [1024]
  • v.patch_embd.weight
    F16
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  • v.position_embd.weight
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    F16
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  • v.blk.0.attn_k.bias
    F32
    [1024]
  • v.blk.0.attn_v.weight
    F16
    [1024 1024]
  • v.blk.0.attn_v.bias
    F32
    [1024]
  • v.blk.0.attn_q.weight
    F16
    [1024 1024]
  • v.blk.0.attn_q.bias
    F32
    [1024]
  • v.blk.0.attn_out.weight
    F16
    [1024 1024]
  • v.blk.0.attn_out.bias
    F32
    [1024]
  • v.blk.0.ln1.weight
    F32
    [1024]
  • v.blk.0.ln1.bias
    F32
    [1024]
  • v.blk.0.ffn_down.weight
    F16
    [1024 4096]
  • v.blk.0.ffn_down.bias
    F32
    [4096]
  • v.blk.0.ffn_up.weight
    F16
    [4096 1024]
  • v.blk.0.ffn_up.bias
    F32
    [1024]
  • v.blk.0.ln2.weight
    F32
    [1024]
  • v.blk.0.ln2.bias
    F32
    [1024]
  • v.blk.1
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    F16
    [1024 1024]
  • v.blk.1.attn_k.bias
    F32
    [1024]
  • v.blk.1.attn_v.weight
    F16
    [1024 1024]
  • v.blk.1.attn_v.bias
    F32
    [1024]
  • v.blk.1.attn_q.weight
    F16
    [1024 1024]
  • v.blk.1.attn_q.bias
    F32
    [1024]
  • v.blk.1.attn_out.weight
    F16
    [1024 1024]
  • v.blk.1.attn_out.bias
    F32
    [1024]
  • v.blk.1.ln1.weight
    F32
    [1024]
  • v.blk.1.ln1.bias
    F32
    [1024]
  • v.blk.1.ffn_down.weight
    F16
    [1024 4096]
  • v.blk.1.ffn_down.bias
    F32
    [4096]
  • v.blk.1.ffn_up.weight
    F16
    [4096 1024]
  • v.blk.1.ffn_up.bias
    F32
    [1024]
  • v.blk.1.ln2.weight
    F32
    [1024]
  • v.blk.1.ln2.bias
    F32
    [1024]
  • v.blk.2
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    F16
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  • v.blk.2.attn_k.bias
    F32
    [1024]
  • v.blk.2.attn_v.weight
    F16
    [1024 1024]
  • v.blk.2.attn_v.bias
    F32
    [1024]
  • v.blk.2.attn_q.weight
    F16
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  • v.blk.2.attn_q.bias
    F32
    [1024]
  • v.blk.2.attn_out.weight
    F16
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    F32
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    F32
    [1024]
  • v.blk.2.ln1.bias
    F32
    [1024]
  • v.blk.2.ffn_down.weight
    F16
    [1024 4096]
  • v.blk.2.ffn_down.bias
    F32
    [4096]
  • v.blk.2.ffn_up.weight
    F16
    [4096 1024]
  • v.blk.2.ffn_up.bias
    F32
    [1024]
  • v.blk.2.ln2.weight
    F32
    [1024]
  • v.blk.2.ln2.bias
    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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    F32
    [1024]
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    F32
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  • v.blk.3.ln1.bias
    F32
    [1024]
  • v.blk.3.ffn_down.weight
    F16
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  • v.blk.3.ffn_down.bias
    F32
    [4096]
  • v.blk.3.ffn_up.weight
    F16
    [4096 1024]
  • v.blk.3.ffn_up.bias
    F32
    [1024]
  • v.blk.3.ln2.weight
    F32
    [1024]
  • v.blk.3.ln2.bias
    F32
    [1024]
  • v.blk.4
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    F16
    [1024 1024]
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    F32
    [1024]
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    F16
    [1024 1024]
  • v.blk.4.attn_v.bias
    F32
    [1024]
  • v.blk.4.attn_q.weight
    F16
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  • v.blk.4.attn_q.bias
    F32
    [1024]
  • v.blk.4.attn_out.weight
    F16
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    F32
    [1024]
  • v.blk.4.ln1.weight
    F32
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  • v.blk.4.ln1.bias
    F32
    [1024]
  • v.blk.4.ffn_down.weight
    F16
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  • v.blk.4.ffn_down.bias
    F32
    [4096]
  • v.blk.4.ffn_up.weight
    F16
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  • v.blk.4.ffn_up.bias
    F32
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  • v.blk.4.ln2.weight
    F32
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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
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    F16
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    F32
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    F16
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    F32
    [1024]
  • v.blk.5.ln1.weight
    F32
    [1024]
  • v.blk.5.ln1.bias
    F32
    [1024]
  • v.blk.5.ffn_down.weight
    F16
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  • v.blk.5.ffn_down.bias
    F32
    [4096]
  • v.blk.5.ffn_up.weight
    F16
    [4096 1024]
  • v.blk.5.ffn_up.bias
    F32
    [1024]
  • v.blk.5.ln2.weight
    F32
    [1024]
  • v.blk.5.ln2.bias
    F32
    [1024]
  • v.blk.6
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    F16
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  • v.blk.6.attn_k.bias
    F32
    [1024]
  • v.blk.6.attn_v.weight
    F16
    [1024 1024]
  • v.blk.6.attn_v.bias
    F32
    [1024]
  • v.blk.6.attn_q.weight
    F16
    [1024 1024]
  • v.blk.6.attn_q.bias
    F32
    [1024]
  • v.blk.6.attn_out.weight
    F16
    [1024 1024]
  • v.blk.6.attn_out.bias
    F32
    [1024]
  • v.blk.6.ln1.weight
    F32
    [1024]
  • v.blk.6.ln1.bias
    F32
    [1024]
  • v.blk.6.ffn_down.weight
    F16
    [1024 4096]
  • v.blk.6.ffn_down.bias
    F32
    [4096]
  • v.blk.6.ffn_up.weight
    F16
    [4096 1024]
  • v.blk.6.ffn_up.bias
    F32
    [1024]
  • v.blk.6.ln2.weight
    F32
    [1024]
  • v.blk.6.ln2.bias
    F32
    [1024]
  • v.blk.7
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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
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    F16
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    F32
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  • v.blk.7.ln1.weight
    F32
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  • v.blk.7.ln1.bias
    F32
    [1024]
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    F16
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    F32
    [4096]
  • v.blk.7.ffn_up.weight
    F16
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  • v.blk.7.ffn_up.bias
    F32
    [1024]
  • v.blk.7.ln2.weight
    F32
    [1024]
  • v.blk.7.ln2.bias
    F32
    [1024]
  • v.blk.8
  • v.blk.8.attn_k.weight
    F16
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    F32
    [1024]
  • v.blk.8.attn_v.weight
    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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    F32
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    F32
    [1024]
  • v.blk.8.ffn_down.weight
    F16
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  • v.blk.8.ffn_down.bias
    F32
    [4096]
  • v.blk.8.ffn_up.weight
    F16
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  • v.blk.8.ffn_up.bias
    F32
    [1024]
  • v.blk.8.ln2.weight
    F32
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  • v.blk.8.ln2.bias
    F32
    [1024]
  • v.blk.9
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    F16
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    F32
    [1024]
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    F16
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    F32
    [1024]
  • v.blk.9.attn_q.weight
    F16
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    F32
    [1024]
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    F16
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    F32
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  • v.blk.9.ln1.weight
    F32
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  • v.blk.9.ln1.bias
    F32
    [1024]
  • v.blk.9.ffn_down.weight
    F16
    [1024 4096]
  • v.blk.9.ffn_down.bias
    F32
    [4096]
  • v.blk.9.ffn_up.weight
    F16
    [4096 1024]
  • v.blk.9.ffn_up.bias
    F32
    [1024]
  • v.blk.9.ln2.weight
    F32
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    F32
    [1024]
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  • v.blk.10.attn_k.weight
    F16
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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
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    F32
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    F32
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    F16
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    F32
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    F32
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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
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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
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    F16
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    F32
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    F16
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    F32
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