bge-m3:567m

1.9M 1 year ago

BGE-M3 is a new model from BAAI distinguished for its versatility in Multi-Functionality, Multi-Linguality, and Multi-Granularity.

embedding 567m
... /
model
daec91ffb5dd · 1.2GB
    Metadata
  • general.architecture
    bert
  • general.file_type
    F16
  • bert.attention.causal
    false
  • bert.attention.head_count
    16
  • bert.attention.layer_norm_epsilon
    1e-05
  • bert.block_count
    24
  • bert.context_length
    8192
  • bert.embedding_length
    1024
  • bert.feed_forward_length
    4096
  • bert.pooling_type
    CLS
  • 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
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