dolphin-phi:2.7b-v2.6-q5_0

246.5K 1 year ago

2.7B uncensored Dolphin model by Eric Hartford, based on the Phi language model by Microsoft Research.

2.7b
... /
model
4a17736fbf8c · 1.9GB
    Metadata
  • general.architecture
    phi2
  • general.file_type
    Q5_0
  • phi2.attention.head_count
    32
  • phi2.attention.head_count_kv
    32
  • phi2.attention.layer_norm_epsilon
    1e-05
  • phi2.block_count
    32
  • phi2.context_length
    2048
  • phi2.embedding_length
    2560
  • phi2.feed_forward_length
    10240
  • phi2.rope.dimension_count
    32
  • tokenizer.ggml.add_bos_token
    false
  • tokenizer.ggml.bos_token_id
    50256
  • tokenizer.ggml.eos_token_id
    50295
  • tokenizer.ggml.merges
    [Ġ t, Ġ a, h e, i n, r e, ...]
  • tokenizer.ggml.model
    gpt2
  • tokenizer.ggml.padding_token_id
    50256
  • tokenizer.ggml.token_type
    [1, 1, 1, 1, 1, ...]
  • tokenizer.ggml.tokens
    [!, ", #, $, %, ...]
  • tokenizer.ggml.unknown_token_id
    50256
    • Tensor
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    F32
    [2560]
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    Q5_0
    [10240, 2560]
  • blk.25.ffn_up.bias
    F32
    [10240]
  • blk.25.ffn_up.weight
    Q5_0
    [2560, 10240]
    • blk.26
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    F32
    [2560]
  • blk.26.attn_norm.weight
    F32
    [2560]
  • blk.26.attn_output.bias
    F32
    [2560]
  • blk.26.attn_output.weight
    Q5_0
    [2560, 2560]
  • blk.26.attn_qkv.bias
    F32
    [7680]
  • blk.26.attn_qkv.weight
    Q5_0
    [2560, 7680]
  • blk.26.ffn_down.bias
    F32
    [2560]
  • blk.26.ffn_down.weight
    Q5_0
    [10240, 2560]
  • blk.26.ffn_up.bias
    F32
    [10240]
  • blk.26.ffn_up.weight
    Q5_0
    [2560, 10240]
    • blk.27
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    F32
    [2560]
  • blk.27.attn_norm.weight
    F32
    [2560]
  • blk.27.attn_output.bias
    F32
    [2560]
  • blk.27.attn_output.weight
    Q5_0
    [2560, 2560]
  • blk.27.attn_qkv.bias
    F32
    [7680]
  • blk.27.attn_qkv.weight
    Q5_0
    [2560, 7680]
  • blk.27.ffn_down.bias
    F32
    [2560]
  • blk.27.ffn_down.weight
    Q5_0
    [10240, 2560]
  • blk.27.ffn_up.bias
    F32
    [10240]
  • blk.27.ffn_up.weight
    Q5_0
    [2560, 10240]
    • blk.28
  • blk.28.attn_norm.bias
    F32
    [2560]
  • blk.28.attn_norm.weight
    F32
    [2560]
  • blk.28.attn_output.bias
    F32
    [2560]
  • blk.28.attn_output.weight
    Q5_0
    [2560, 2560]
  • blk.28.attn_qkv.bias
    F32
    [7680]
  • blk.28.attn_qkv.weight
    Q5_0
    [2560, 7680]
  • blk.28.ffn_down.bias
    F32
    [2560]
  • blk.28.ffn_down.weight
    Q5_0
    [10240, 2560]
  • blk.28.ffn_up.bias
    F32
    [10240]
  • blk.28.ffn_up.weight
    Q5_0
    [2560, 10240]
    • blk.29
  • blk.29.attn_norm.bias
    F32
    [2560]
  • blk.29.attn_norm.weight
    F32
    [2560]
  • blk.29.attn_output.bias
    F32
    [2560]
  • blk.29.attn_output.weight
    Q5_0
    [2560, 2560]
  • blk.29.attn_qkv.bias
    F32
    [7680]
  • blk.29.attn_qkv.weight
    Q5_0
    [2560, 7680]
  • blk.29.ffn_down.bias
    F32
    [2560]
  • blk.29.ffn_down.weight
    Q5_0
    [10240, 2560]
  • blk.29.ffn_up.bias
    F32
    [10240]
  • blk.29.ffn_up.weight
    Q5_0
    [2560, 10240]
    • blk.30
  • blk.30.attn_norm.bias
    F32
    [2560]
  • blk.30.attn_norm.weight
    F32
    [2560]
  • blk.30.attn_output.bias
    F32
    [2560]
  • blk.30.attn_output.weight
    Q5_0
    [2560, 2560]
  • blk.30.attn_qkv.bias
    F32
    [7680]
  • blk.30.attn_qkv.weight
    Q5_0
    [2560, 7680]
  • blk.30.ffn_down.bias
    F32
    [2560]
  • blk.30.ffn_down.weight
    Q5_0
    [10240, 2560]
  • blk.30.ffn_up.bias
    F32
    [10240]
  • blk.30.ffn_up.weight
    Q5_0
    [2560, 10240]
    • blk.31
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    F32
    [2560]
  • blk.31.attn_norm.weight
    F32
    [2560]
  • blk.31.attn_output.bias
    F32
    [2560]
  • blk.31.attn_output.weight
    Q5_0
    [2560, 2560]
  • blk.31.attn_qkv.bias
    F32
    [7680]
  • blk.31.attn_qkv.weight
    Q5_0
    [2560, 7680]
  • blk.31.ffn_down.bias
    F32
    [2560]
  • blk.31.ffn_down.weight
    Q5_0
    [10240, 2560]
  • blk.31.ffn_up.bias
    F32
    [10240]
  • blk.31.ffn_up.weight
    Q5_0
    [2560, 10240]
  • output.bias
    F32
    [51200]
  • output.weight
    Q6_K
    [2560, 51200]
  • output_norm.bias
    F32
    [2560]
  • output_norm.weight
    F32
    [2560]