nuextract

A 3.8B model fine-tuned on a private high-quality synthetic dataset for information extraction, based on Phi-3.

3.8b

17.2K 4 months ago

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model
d1dba21b2691 · 7.6GB
    Metadata
  • general.architecture
    phi3
  • general.basename
    Phi-3
  • general.file_type
    1
  • general.finetune
    4k-instruct
  • general.languages
    [en]
  • general.license
    mit
  • general.name
    Phi 3 Mini 4k Instruct
  • general.organization
    Microsoft
  • general.quantization_version
    2
  • general.size_label
    mini
  • general.type
    model
  • phi3.attention.head_count
    32
  • phi3.attention.head_count_kv
    32
  • phi3.attention.layer_norm_rms_epsilon
    1e-05
  • phi3.block_count
    32
  • phi3.context_length
    4096
  • phi3.embedding_length
    3072
  • phi3.feed_forward_length
    8192
  • phi3.rope.dimension_count
    96
  • phi3.rope.freq_base
    10000
  • phi3.rope.scaling.original_context_length
    4096
  • tokenizer.ggml.add_bos_token
    true
  • tokenizer.ggml.add_eos_token
    false
  • tokenizer.ggml.bos_token_id
    1
  • tokenizer.ggml.eos_token_id
    32000
  • tokenizer.ggml.model
    llama
  • tokenizer.ggml.padding_token_id
    32011
  • tokenizer.ggml.pre
    default
  • tokenizer.ggml.scores
    [-1000, -1000, -1000, 0, 0, ...]
  • tokenizer.ggml.token_type
    [3, 3, 4, 6, 6, ...]
  • tokenizer.ggml.tokens
    [<unk>, <s>, </s>, <0x00>, <0x01>, ...]
  • tokenizer.ggml.unknown_token_id
    0
    • Tensor
  • Name
    Type
    Shape
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    F16
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    F16
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    F32
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  • blk.0.ffn_up.weight
    F16
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    F32
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  • blk.1.attn_output.weight
    F16
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  • blk.1.attn_qkv.weight
    F16
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    F16
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  • blk.1.ffn_norm.weight
    F32
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  • blk.1.ffn_up.weight
    F16
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    F32
    [3072]
  • blk.2.attn_output.weight
    F16
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  • blk.2.attn_qkv.weight
    F16
    [3072, 9216]
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    F16
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  • blk.2.ffn_norm.weight
    F32
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    F16
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    F32
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  • blk.3.attn_output.weight
    F16
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  • blk.3.attn_qkv.weight
    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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    F16
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    F16
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    F16
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  • blk.4.ffn_norm.weight
    F32
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    F16
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    F32
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    F16
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    F16
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    F16
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    F16
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    F16
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    F32
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    F16
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    F16
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    F16
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    F16
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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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    F16
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    F16
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    F16
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    F32
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    F16
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    F16
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    F16
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    F16
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    F16
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    F16
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    F16
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    F16
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    F32
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    F16
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    F16
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    F16
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    F16
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    F32
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    F16
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    F16
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    F16
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    F16
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