maternion/ LightOnOCR-3:4b

171 6 days ago

Best OCR model. LightOnOCR-3 is our flagship OCR model family 4B, 1B, and 0.8B with layout, grounding, and visual understanding. We recommend the 4B for most OCR tasks.

vision tools thinking 0.8b 1b 4b
... /
projector
4c4f14c8bda8 ยท 676MB
    Metadata
  • general.architecture
    clip
  • general.file_type
    BF16
  • clip.has_vision_encoder
    true
  • clip.projector_type
    qwen3vl_merger
  • clip.use_gelu
    true
  • clip.vision.attention.head_count
    16
  • clip.vision.attention.layer_norm_epsilon
    1e-06
  • clip.vision.block_count
    24
  • clip.vision.embedding_length
    1024
  • clip.vision.feed_forward_length
    4096
  • clip.vision.image_mean
    [0.5, 0.5, 0.5]
  • clip.vision.image_size
    768
  • clip.vision.image_std
    [0.5, 0.5, 0.5]
  • clip.vision.is_deepstack_layers
    [false, false, false, false, false, ...]
  • clip.vision.patch_size
    16
  • clip.vision.projection_dim
    2560
  • clip.vision.spatial_merge_size
    2
    • Tensor
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    BF16
    [4096, 1024]
  • v.blk.22.ffn_up.bias
    F32
    [4096]
  • v.blk.22.ffn_up.weight
    BF16
    [1024, 4096]
  • 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]
    • v.blk.23
  • v.blk.23.attn_out.bias
    F32
    [1024]
  • v.blk.23.attn_out.weight
    BF16
    [1024, 1024]
  • v.blk.23.attn_qkv.bias
    F32
    [3072]
  • v.blk.23.attn_qkv.weight
    BF16
    [1024, 3072]
  • v.blk.23.ffn_down.bias
    F32
    [1024]
  • v.blk.23.ffn_down.weight
    BF16
    [4096, 1024]
  • v.blk.23.ffn_up.bias
    F32
    [4096]
  • v.blk.23.ffn_up.weight
    BF16
    [1024, 4096]
  • v.blk.23.ln1.bias
    F32
    [1024]
  • v.blk.23.ln1.weight
    F32
    [1024]
  • v.blk.23.ln2.bias
    F32
    [1024]
  • v.blk.23.ln2.weight
    F32
    [1024]
  • v.patch_embd.bias
    F32
    [1024]
  • v.patch_embd.weight
    F32
    [16, 16, 3, 1024]
  • v.patch_embd.weight.1
    F32
    [16, 16, 3, 1024]
  • v.position_embd.weight
    F32
    [1024, 2304]
  • v.post_ln.bias
    F32
    [1024]
  • v.post_ln.weight
    F32
    [1024]