phi3.5

A lightweight AI model with 3.8 billion parameters with performance overtaking similarly and larger sized models.

3.8b

178.4K 2 months ago

17 Tags
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model
abcfd2f187d1 · 2.0GB
    Metadata
  • general.architecture
    phi3
  • general.basename
    Phi-3.5
  • general.file_type
    12
  • general.finetune
    instruct
  • general.languages
    [multilingual]
  • general.license
    mit
  • general.license.link
    https://huggingface.co/microsoft/Phi-3.5-mini-instruct/resolve/main/LICENSE
  • general.name
    Phi 3.5 Mini Instruct
  • general.quantization_version
    2
  • general.size_label
    mini
  • general.tags
    [nlp, code, text-generation]
  • general.type
    model
  • phi3.attention.head_count
    32
  • phi3.attention.head_count_kv
    32
  • phi3.attention.layer_norm_rms_epsilon
    1e-05
  • phi3.attention.sliding_window
    262144
  • phi3.block_count
    32
  • phi3.context_length
    131072
  • phi3.embedding_length
    3072
  • phi3.feed_forward_length
    8192
  • phi3.rope.dimension_count
    96
  • phi3.rope.freq_base
    10000
  • phi3.rope.scaling.attn_factor
    1.1902381
  • phi3.rope.scaling.original_context_length
    4096
  • tokenizer.ggml.add_bos_token
    false
  • 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
    32000
  • 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
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    F32
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  • blk.0.attn_output.weight
    Q4_K
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  • blk.0.attn_qkv.weight
    Q4_K
    [3072, 9216]
  • blk.0.ffn_down.weight
    Q5_K
    [8192, 3072]
  • blk.0.ffn_norm.weight
    F32
    [3072]
  • blk.0.ffn_up.weight
    Q3_K
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    F32
    [3072]
  • blk.1.attn_output.weight
    Q4_K
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  • blk.1.attn_qkv.weight
    Q4_K
    [3072, 9216]
  • blk.1.ffn_down.weight
    Q5_K
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  • blk.1.ffn_norm.weight
    F32
    [3072]
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    Q3_K
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    F32
    [3072]
  • blk.2.attn_output.weight
    Q4_K
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  • blk.2.attn_qkv.weight
    Q4_K
    [3072, 9216]
  • blk.2.ffn_down.weight
    Q4_K
    [8192, 3072]
  • blk.2.ffn_norm.weight
    F32
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    Q3_K
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    F32
    [3072]
  • blk.3.attn_output.weight
    Q4_K
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  • blk.3.attn_qkv.weight
    Q4_K
    [3072, 9216]
  • blk.3.ffn_down.weight
    Q4_K
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  • blk.3.ffn_norm.weight
    F32
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    Q3_K
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    F32
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    Q4_K
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  • blk.4.attn_qkv.weight
    Q4_K
    [3072, 9216]
  • blk.4.ffn_down.weight
    Q4_K
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    F32
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    Q3_K
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    F32
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    Q4_K
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    F32
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    F32
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    Q4_K
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    Q4_K
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    Q4_K
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    F32
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    Q3_K
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    F32
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    Q4_K
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    Q4_K
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    Q4_K
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    F32
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    F32
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    Q4_K
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    Q4_K
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    Q4_K
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    F32
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    Q3_K
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    F32
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    Q4_K
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    Q4_K
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    Q4_K
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    F32
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    Q3_K
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    F32
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    Q4_K
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    Q4_K
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    F32
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    Q4_K
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    F32
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    F32
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    Q4_K
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    Q4_K
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