Embedding model from BAAI mapping texts to vectors.

embedding 335m

16.7K 4 months ago

92b37e50807d · 671MB
    Metadata
  • bert.attention.causal
    false
  • bert.attention.head_count
    16
  • bert.attention.layer_norm_epsilon
    1e-12
  • bert.block_count
    24
  • bert.context_length
    512
  • bert.embedding_length
    1024
  • bert.feed_forward_length
    4096
  • bert.pooling_type
    2
  • general.architecture
    bert
  • general.basename
    bge
  • general.file_type
    1
  • general.finetune
    en
  • general.languages
    [en]
  • general.license
    mit
  • general.name
    Bge Large En v1.5
  • general.quantization_version
    2
  • general.size_label
    large
  • general.tags
    [sentence-transformers, feature-extraction, sentence-similarity, transformers, mteb]
  • general.type
    model
  • general.version
    v1.5
  • tokenizer.ggml.cls_token_id
    101
  • tokenizer.ggml.mask_token_id
    103
  • tokenizer.ggml.model
    bert
  • tokenizer.ggml.padding_token_id
    0
  • tokenizer.ggml.pre
    jina-v2-en
  • tokenizer.ggml.seperator_token_id
    102
  • tokenizer.ggml.token_type
    [3, 1, 1, 1, 1, ...]
  • tokenizer.ggml.token_type_count
    2
  • tokenizer.ggml.tokens
    [[PAD], [unused0], [unused1], [unused2], [unused3], ...]
  • tokenizer.ggml.unknown_token_id
    100
  • Tensor
  • Name
    Type
    Shape
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    F16
    [1024, 30522]
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    F32
    [1024]
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    F16
    [1024, 1024]
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    F32
    [1024]
  • blk.0.attn_output.weight
    F16
    [1024, 1024]
  • blk.0.attn_output_norm.bias
    F32
    [1024]
  • blk.0.attn_output_norm.weight
    F32
    [1024]
  • blk.0.attn_q.bias
    F32
    [1024]
  • blk.0.attn_q.weight
    F16
    [1024, 1024]
  • blk.0.attn_v.bias
    F32
    [1024]
  • blk.0.attn_v.weight
    F16
    [1024, 1024]
  • blk.0.ffn_down.bias
    F32
    [1024]
  • blk.0.ffn_down.weight
    F16
    [4096, 1024]
  • blk.0.ffn_up.bias
    F32
    [4096]
  • blk.0.ffn_up.weight
    F16
    [1024, 4096]
  • blk.0.layer_output_norm.bias
    F32
    [1024]
  • blk.0.layer_output_norm.weight
    F32
    [1024]
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    F32
    [1024]
  • blk.1.attn_k.weight
    F16
    [1024, 1024]
  • blk.1.attn_output.bias
    F32
    [1024]
  • blk.1.attn_output.weight
    F16
    [1024, 1024]
  • blk.1.attn_output_norm.bias
    F32
    [1024]
  • blk.1.attn_output_norm.weight
    F32
    [1024]
  • blk.1.attn_q.bias
    F32
    [1024]
  • blk.1.attn_q.weight
    F16
    [1024, 1024]
  • blk.1.attn_v.bias
    F32
    [1024]
  • blk.1.attn_v.weight
    F16
    [1024, 1024]
  • blk.1.ffn_down.bias
    F32
    [1024]
  • blk.1.ffn_down.weight
    F16
    [4096, 1024]
  • blk.1.ffn_up.bias
    F32
    [4096]
  • blk.1.ffn_up.weight
    F16
    [1024, 4096]
  • blk.1.layer_output_norm.bias
    F32
    [1024]
  • blk.1.layer_output_norm.weight
    F32
    [1024]
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    F32
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    F16
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    F32
    [1024]
  • blk.2.attn_output.weight
    F16
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  • blk.2.attn_output_norm.bias
    F32
    [1024]
  • blk.2.attn_output_norm.weight
    F32
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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
    [4096, 1024]
  • blk.2.ffn_up.bias
    F32
    [4096]
  • blk.2.ffn_up.weight
    F16
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  • blk.2.layer_output_norm.bias
    F32
    [1024]
  • blk.2.layer_output_norm.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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  • blk.3.attn_output_norm.bias
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    F32
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    F16
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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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    F32
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    F16
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    F32
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    F16
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    F32
    [4096]
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    F16
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    F32
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  • blk.5.layer_output_norm.weight
    F32
    [1024]
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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
    [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
    [4096, 1024]
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    F32
    [4096]
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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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