The model used is a quantized version of `Llama-3-Taiwan-70B-Instruct`. More details can be found on the website (https://huggingface.co/yentinglin/Llama-3-Taiwan-70B-Instruct)

110 4 months ago

fbc1ec327548 · 48GB
    Metadata
  • general.architecture
    llama
  • general.file_type
    7
  • general.name
    taiwan_model
  • general.quantization_version
    2
  • llama.attention.head_count
    64
  • llama.attention.head_count_kv
    8
  • llama.attention.layer_norm_rms_epsilon
    1e-05
  • llama.block_count
    80
  • llama.context_length
    8192
  • llama.embedding_length
    8192
  • llama.feed_forward_length
    28672
  • llama.rope.dimension_count
    128
  • llama.rope.freq_base
    500000
  • llama.vocab_size
    128256
  • split.count
    2
  • split.no
    0
  • split.tensors.count
    723
  • tokenizer.ggml.bos_token_id
    128000
  • tokenizer.ggml.eos_token_id
    128009
  • tokenizer.ggml.merges
    [Ġ Ġ, Ġ ĠĠĠ, ĠĠ ĠĠ, ĠĠĠ Ġ, i n, ...]
  • tokenizer.ggml.model
    gpt2
  • tokenizer.ggml.padding_token_id
    128001
  • tokenizer.ggml.pre
    llama-bpe
  • tokenizer.ggml.token_type
    [1, 1, 1, 1, 1, ...]
  • tokenizer.ggml.tokens
    [!, ", #, $, %, ...]
  • Tensor
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    F32
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  • blk.0.attn_output.weight
    Q8_0
    [8192, 8192]
  • blk.0.attn_q.weight
    Q8_0
    [8192, 8192]
  • blk.0.attn_v.weight
    Q8_0
    [8192, 1024]
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    Q8_0
    [28672, 8192]
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    Q8_0
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  • blk.0.ffn_norm.weight
    F32
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  • blk.0.ffn_up.weight
    Q8_0
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    Q8_0
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  • blk.1.attn_norm.weight
    F32
    [8192]
  • blk.1.attn_output.weight
    Q8_0
    [8192, 8192]
  • blk.1.attn_q.weight
    Q8_0
    [8192, 8192]
  • blk.1.attn_v.weight
    Q8_0
    [8192, 1024]
  • blk.1.ffn_down.weight
    Q8_0
    [28672, 8192]
  • blk.1.ffn_gate.weight
    Q8_0
    [8192, 28672]
  • blk.1.ffn_norm.weight
    F32
    [8192]
  • blk.1.ffn_up.weight
    Q8_0
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    Q8_0
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  • blk.2.attn_norm.weight
    F32
    [8192]
  • blk.2.attn_output.weight
    Q8_0
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  • blk.2.attn_q.weight
    Q8_0
    [8192, 8192]
  • blk.2.attn_v.weight
    Q8_0
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  • blk.2.ffn_down.weight
    Q8_0
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  • blk.2.ffn_gate.weight
    Q8_0
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  • blk.2.ffn_norm.weight
    F32
    [8192]
  • blk.2.ffn_up.weight
    Q8_0
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    Q8_0
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  • blk.3.attn_norm.weight
    F32
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  • blk.3.attn_output.weight
    Q8_0
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  • blk.3.attn_q.weight
    Q8_0
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  • blk.3.attn_v.weight
    Q8_0
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    Q8_0
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    Q8_0
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    F32
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    Q8_0
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    Q8_0
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    F32
    [8192]
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    Q8_0
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    Q8_0
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    Q8_0
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    Q8_0
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    Q8_0
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  • blk.4.ffn_norm.weight
    F32
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    Q8_0
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    Q8_0
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    F32
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    Q8_0
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    Q8_0
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    Q8_0
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    Q8_0
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    Q8_0
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    F32
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    Q8_0
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    Q8_0
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    Q8_0
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    Q8_0
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    Q8_0
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    Q8_0
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    Q8_0
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    F32
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    Q8_0
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    Q8_0
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    Q8_0
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    Q8_0
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    Q8_0
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    F32
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    Q8_0
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    Q8_0
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    Q8_0
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  • blk.8.ffn_norm.weight
    F32
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    Q8_0
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    Q8_0
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    F32
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    Q8_0
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    Q8_0
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    Q8_0
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    Q8_0
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    Q8_0
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  • blk.9.ffn_norm.weight
    F32
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    Q8_0
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    Q8_0
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    Q8_0
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    Q8_0
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    Q8_0
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