A series of conversational large language models optimized for Chinese and English

4b 9b 34b

281 4 months ago

514e46f14c67 · 6.1GB
    Metadata
  • general.architecture
    llama
  • general.file_type
    16
  • general.name
    model
  • general.quantization_version
    2
  • llama.attention.head_count
    32
  • llama.attention.head_count_kv
    4
  • llama.attention.layer_norm_rms_epsilon
    1e-06
  • llama.block_count
    48
  • llama.context_length
    4096
  • llama.embedding_length
    4096
  • llama.feed_forward_length
    11008
  • llama.rope.dimension_count
    128
  • llama.rope.freq_base
    5e+06
  • llama.vocab_size
    64000
  • tokenizer.ggml.add_bos_token
    false
  • tokenizer.ggml.add_eos_token
    false
  • tokenizer.ggml.bos_token_id
    1
  • tokenizer.ggml.eos_token_id
    2
  • tokenizer.ggml.model
    llama
  • tokenizer.ggml.padding_token_id
    0
  • tokenizer.ggml.pre
    default
  • tokenizer.ggml.scores
    [0, 0, 0, 0, 0, ...]
  • tokenizer.ggml.token_type
    [2, 3, 3, 3, 3, ...]
  • tokenizer.ggml.tokens
    [<unk>, <|startoftext|>, <|endoftext|>, <|Human|>, <|Assistant|>, ...]
  • tokenizer.ggml.unknown_token_id
    0
  • Tensor
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    Type
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    Q5_K
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    Q5_K
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    Q5_K
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    Q5_K
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    Q5_K
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  • blk.0.ffn_norm.weight
    F32
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  • blk.0.ffn_up.weight
    Q5_K
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  • blk.1.attn_norm.weight
    F32
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    Q5_K
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  • blk.1.attn_q.weight
    Q5_K
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  • blk.1.attn_v.weight
    Q5_K
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    Q5_K
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    Q5_K
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  • blk.1.ffn_norm.weight
    F32
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  • blk.1.ffn_up.weight
    Q5_K
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    Q5_K
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  • blk.2.attn_norm.weight
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    Q5_K
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    F32
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    Q5_K
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    Q5_K
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    F32
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    Q5_K
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    F32
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    Q5_K
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    Q5_K
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    Q5_K
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    Q5_K
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    F32
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    Q5_K
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    F32
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    Q5_K
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    Q5_K
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    Q5_K
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    Q5_K
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    Q5_K
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    F32
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    Q5_K
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    F32
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    Q5_K
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    Q5_K
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    Q5_K
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    F32
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    Q5_K
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    F32
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    Q5_K
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    Q5_K
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    Q5_K
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    F32
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    Q5_K
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    F32
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    Q5_K
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    Q5_K
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    Q5_K
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    F32
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    Q5_K
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    F32
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    Q5_K
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    F32
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    Q5_K
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    F32
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    Q5_K
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    F32
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    Q5_K
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    Q5_K
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