jeffh / intfloat-multilingual-e5-large

multilingual e5 large embedding model from intfloat

embedding

871 2 months ago

3 Tags
... /
model
93d58bbcc978 · 603MB
    Metadata
  • bert.attention.causal
    false
  • bert.attention.head_count
    16
  • bert.attention.layer_norm_epsilon
    1e-05
  • bert.block_count
    24
  • bert.context_length
    512
  • bert.embedding_length
    1024
  • bert.feed_forward_length
    4096
  • bert.pooling_type
    1
  • general.architecture
    bert
  • general.basename
    intfloat-multilingual-e5
  • general.file_type
    7
  • general.languages
    [multilingual, af, am, ar, as, ...]
  • general.license
    mit
  • general.name
    multilingual-e5-large
  • general.organization
    Tmp
  • general.quantization_version
    2
  • general.size_label
    large
  • general.tags
    [mteb, Sentence Transformers, sentence-similarity, feature-extraction, sentence-transformers]
  • general.type
    model
  • tokenizer.ggml.add_bos_token
    true
  • tokenizer.ggml.add_eos_token
    true
  • tokenizer.ggml.add_space_prefix
    true
  • tokenizer.ggml.bos_token_id
    0
  • tokenizer.ggml.cls_token_id
    0
  • tokenizer.ggml.eos_token_id
    2
  • tokenizer.ggml.mask_token_id
    250001
  • tokenizer.ggml.model
    t5
  • tokenizer.ggml.padding_token_id
    1
  • tokenizer.ggml.pre
    default
  • tokenizer.ggml.precompiled_charsmap
    [0, 180, 2, 0, 0, ...]
  • tokenizer.ggml.remove_extra_whitespaces
    true
  • tokenizer.ggml.scores
    [0, 0, 0, 0, -3.4635427, ...]
  • tokenizer.ggml.seperator_token_id
    2
  • tokenizer.ggml.token_type
    [3, 3, 3, 2, 1, ...]
  • tokenizer.ggml.token_type_count
    1
  • tokenizer.ggml.tokens
    [<s>, <pad>, </s>, <unk>, ,, ...]
  • tokenizer.ggml.unknown_token_id
    3
    • Tensor
  • Name
    Type
    Shape
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    [1024, 250002]
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    Q8_0
    [1024, 1024]
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    F32
    [1024]
  • blk.0.attn_output.weight
    Q8_0
    [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
    Q8_0
    [1024, 1024]
  • blk.0.attn_v.bias
    F32
    [1024]
  • blk.0.attn_v.weight
    Q8_0
    [1024, 1024]
  • blk.0.ffn_down.bias
    F32
    [1024]
  • blk.0.ffn_down.weight
    Q8_0
    [4096, 1024]
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    F32
    [4096]
  • blk.0.ffn_up.weight
    Q8_0
    [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
    Q8_0
    [1024, 1024]
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    F32
    [1024]
  • blk.1.attn_output.weight
    Q8_0
    [1024, 1024]
  • blk.1.attn_output_norm.bias
    F32
    [1024]
  • blk.1.attn_output_norm.weight
    F32
    [1024]
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    F32
    [1024]
  • blk.1.attn_q.weight
    Q8_0
    [1024, 1024]
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    F32
    [1024]
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    Q8_0
    [1024, 1024]
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    F32
    [1024]
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    Q8_0
    [4096, 1024]
  • blk.1.ffn_up.bias
    F32
    [4096]
  • blk.1.ffn_up.weight
    Q8_0
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    F32
    [1024]
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    [1024]
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    [1024]
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    Q8_0
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    [1024]
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    F32
    [1024]
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    Q8_0
    [1024, 1024]
  • blk.2.ffn_down.bias
    F32
    [1024]
  • blk.2.ffn_down.weight
    Q8_0
    [4096, 1024]
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    F32
    [4096]
  • blk.2.ffn_up.weight
    Q8_0
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    F32
    [1024]
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    F32
    [1024]
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    F32
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    F32
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    Q8_0
    [4096, 1024]
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    F32
    [4096]
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    Q8_0
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    F32
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    F32
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    Q8_0
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    Q8_0
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    F32
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    F32
    [1024]
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    [1024]
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    F32
    [1024]
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    Q8_0
    [1024, 1024]
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    F32
    [1024]
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    F32
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    F32
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    Q8_0
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    F32
    [1024]
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    Q8_0
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    F32
    [1024]
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    Q8_0
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    F32
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