yi-coder

Yi-Coder is a series of open-source code language models that delivers state-of-the-art coding performance with fewer than 10 billion parameters.

1.5b 9b

64.5K 3 months ago

67 Tags
... /
model
430589288439 · 1.1GB
    Metadata
  • general.architecture
    llama
  • general.basename
    Yi-Coder
  • general.file_type
    9
  • general.license
    apache-2.0
  • general.name
    Yi Coder 1.5B
  • general.quantization_version
    2
  • general.size_label
    1.5B
  • general.type
    model
  • llama.attention.head_count
    16
  • llama.attention.head_count_kv
    16
  • llama.attention.layer_norm_rms_epsilon
    1e-05
  • llama.block_count
    24
  • llama.context_length
    131072
  • llama.embedding_length
    2048
  • llama.feed_forward_length
    5504
  • llama.rope.dimension_count
    128
  • llama.rope.freq_base
    1e+07
  • 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
    [-1000, -1000, -1000, 0, 0, ...]
  • tokenizer.ggml.token_type
    [3, 3, 3, 3, 3, ...]
  • tokenizer.ggml.tokens
    [<unk>, <|startoftext|>, <|endoftext|>, <|Human|>, <|Assistant|>, ...]
  • tokenizer.ggml.unknown_token_id
    0
    • Tensor
  • Name
    Type
    Shape
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    Q5_1
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    Q5_1
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  • blk.0.attn_norm.weight
    F32
    [2048]
  • blk.0.attn_output.weight
    Q5_1
    [2048, 2048]
  • blk.0.attn_q.weight
    Q5_1
    [2048, 2048]
  • blk.0.attn_v.weight
    Q5_1
    [2048, 2048]
  • blk.0.ffn_down.weight
    Q5_1
    [5504, 2048]
  • blk.0.ffn_gate.weight
    Q5_1
    [2048, 5504]
  • blk.0.ffn_norm.weight
    F32
    [2048]
  • blk.0.ffn_up.weight
    Q5_1
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    • blk.1
  • blk.1.attn_k.weight
    Q5_1
    [2048, 2048]
  • blk.1.attn_norm.weight
    F32
    [2048]
  • blk.1.attn_output.weight
    Q5_1
    [2048, 2048]
  • blk.1.attn_q.weight
    Q5_1
    [2048, 2048]
  • blk.1.attn_v.weight
    Q5_1
    [2048, 2048]
  • blk.1.ffn_down.weight
    Q5_1
    [5504, 2048]
  • blk.1.ffn_gate.weight
    Q5_1
    [2048, 5504]
  • blk.1.ffn_norm.weight
    F32
    [2048]
  • blk.1.ffn_up.weight
    Q5_1
    [2048, 5504]
    • blk.2
  • blk.2.attn_k.weight
    Q5_1
    [2048, 2048]
  • blk.2.attn_norm.weight
    F32
    [2048]
  • blk.2.attn_output.weight
    Q5_1
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  • blk.2.attn_q.weight
    Q5_1
    [2048, 2048]
  • blk.2.attn_v.weight
    Q5_1
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    Q5_1
    [5504, 2048]
  • blk.2.ffn_gate.weight
    Q5_1
    [2048, 5504]
  • blk.2.ffn_norm.weight
    F32
    [2048]
  • blk.2.ffn_up.weight
    Q5_1
    [2048, 5504]
    • blk.3
  • blk.3.attn_k.weight
    Q5_1
    [2048, 2048]
  • blk.3.attn_norm.weight
    F32
    [2048]
  • blk.3.attn_output.weight
    Q5_1
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  • blk.3.attn_q.weight
    Q5_1
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  • blk.3.attn_v.weight
    Q5_1
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    Q5_1
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    Q5_1
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    F32
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  • blk.3.ffn_up.weight
    Q5_1
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    Q5_1
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    F32
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    Q5_1
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    Q5_1
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  • blk.4.attn_v.weight
    Q5_1
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    Q5_1
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  • blk.4.ffn_gate.weight
    Q5_1
    [2048, 5504]
  • blk.4.ffn_norm.weight
    F32
    [2048]
  • blk.4.ffn_up.weight
    Q5_1
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    Q5_1
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    F32
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    Q5_1
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    Q5_1
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    Q5_1
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    Q5_1
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    Q5_1
    [2048, 5504]
  • blk.5.ffn_norm.weight
    F32
    [2048]
  • blk.5.ffn_up.weight
    Q5_1
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    Q5_1
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    F32
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    Q5_1
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    Q5_1
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    Q5_1
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    Q5_1
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    Q5_1
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  • blk.6.ffn_norm.weight
    F32
    [2048]
  • blk.6.ffn_up.weight
    Q5_1
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    Q5_1
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    F32
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    Q5_1
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    Q5_1
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    Q5_1
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    Q5_1
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    F32
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    F32
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    Q5_1
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    Q5_1
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    Q5_1
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    Q5_1
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    Q5_1
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    F32
    [2048]
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    Q5_1
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    Q5_1
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    F32
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    Q5_1
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    Q5_1
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    Q5_1
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    Q5_1
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    Q5_1
    [2048, 5504]
  • blk.9.ffn_norm.weight
    F32
    [2048]
  • blk.9.ffn_up.weight
    Q5_1
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    Q5_1
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    F32
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    Q5_1
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    Q5_1
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  • blk.10.attn_v.weight
    Q5_1
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    Q5_1
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    Q5_1
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    F32
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    Q5_1
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    Q5_1
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    F32
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    Q5_1
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    Q5_1
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    Q5_1
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    Q5_1
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    Q5_1
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    F32
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    F32
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    Q5_1
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    F32
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    F32
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    F32
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