DeepSeek Coder is a capable coding model trained on two trillion code and natural language tokens.

1.3b 6.7b 33b

386.5K 12 months ago

ce96cff73d20 · 18GB
    Metadata
  • general.architecture
    llama
  • general.file_type
    13
  • general.name
    deepseek-ai
  • general.quantization_version
    2
  • llama.attention.head_count
    56
  • llama.attention.head_count_kv
    8
  • llama.attention.layer_norm_rms_epsilon
    1e-06
  • llama.block_count
    62
  • llama.context_length
    16384
  • llama.embedding_length
    7168
  • llama.feed_forward_length
    19200
  • llama.rope.dimension_count
    128
  • llama.rope.freq_base
    100000
  • llama.rope.scaling.factor
    4
  • llama.rope.scaling.type
    linear
  • tokenizer.ggml.add_bos_token
    true
  • tokenizer.ggml.add_eos_token
    false
  • tokenizer.ggml.bos_token_id
    32013
  • tokenizer.ggml.eos_token_id
    32014
  • tokenizer.ggml.merges
    [Ġ Ġ, Ġ t, Ġ a, i n, h e, ...]
  • tokenizer.ggml.model
    gpt2
  • tokenizer.ggml.padding_token_id
    32014
  • tokenizer.ggml.scores
    [0, 0, 0, 0, 0, ...]
  • tokenizer.ggml.token_type
    [1, 1, 1, 1, 1, ...]
  • tokenizer.ggml.tokens
    [!, ", #, $, %, ...]
  • Tensor
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    Q3_K
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    Q5_K
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    Q5_K
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  • blk.55.ffn_down.weight
    Q5_K
    [19200, 7168]
  • blk.55.ffn_gate.weight
    Q3_K
    [7168, 19200]
  • blk.55.ffn_norm.weight
    F32
    [7168]
  • blk.55.ffn_up.weight
    Q3_K
    [7168, 19200]
  • blk.56
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    Q3_K
    [7168, 1024]
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    F32
    [7168]
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    Q5_K
    [7168, 7168]
  • blk.56.attn_q.weight
    Q3_K
    [7168, 7168]
  • blk.56.attn_v.weight
    Q5_K
    [7168, 1024]
  • blk.56.ffn_down.weight
    Q5_K
    [19200, 7168]
  • blk.56.ffn_gate.weight
    Q3_K
    [7168, 19200]
  • blk.56.ffn_norm.weight
    F32
    [7168]
  • blk.56.ffn_up.weight
    Q3_K
    [7168, 19200]
  • blk.57
  • blk.57.attn_k.weight
    Q3_K
    [7168, 1024]
  • blk.57.attn_norm.weight
    F32
    [7168]
  • blk.57.attn_output.weight
    Q5_K
    [7168, 7168]
  • blk.57.attn_q.weight
    Q3_K
    [7168, 7168]
  • blk.57.attn_v.weight
    Q5_K
    [7168, 1024]
  • blk.57.ffn_down.weight
    Q5_K
    [19200, 7168]
  • blk.57.ffn_gate.weight
    Q3_K
    [7168, 19200]
  • blk.57.ffn_norm.weight
    F32
    [7168]
  • blk.57.ffn_up.weight
    Q3_K
    [7168, 19200]
  • blk.58
  • blk.58.attn_k.weight
    Q3_K
    [7168, 1024]
  • blk.58.attn_norm.weight
    F32
    [7168]
  • blk.58.attn_output.weight
    Q5_K
    [7168, 7168]
  • blk.58.attn_q.weight
    Q3_K
    [7168, 7168]
  • blk.58.attn_v.weight
    Q5_K
    [7168, 1024]
  • blk.58.ffn_down.weight
    Q5_K
    [19200, 7168]
  • blk.58.ffn_gate.weight
    Q3_K
    [7168, 19200]
  • blk.58.ffn_norm.weight
    F32
    [7168]
  • blk.58.ffn_up.weight
    Q3_K
    [7168, 19200]
  • blk.59
  • blk.59.attn_k.weight
    Q3_K
    [7168, 1024]
  • blk.59.attn_norm.weight
    F32
    [7168]
  • blk.59.attn_output.weight
    Q5_K
    [7168, 7168]
  • blk.59.attn_q.weight
    Q3_K
    [7168, 7168]
  • blk.59.attn_v.weight
    Q5_K
    [7168, 1024]
  • blk.59.ffn_down.weight
    Q5_K
    [19200, 7168]
  • blk.59.ffn_gate.weight
    Q3_K
    [7168, 19200]
  • blk.59.ffn_norm.weight
    F32
    [7168]
  • blk.59.ffn_up.weight
    Q3_K
    [7168, 19200]
  • blk.60
  • blk.60.attn_k.weight
    Q3_K
    [7168, 1024]
  • blk.60.attn_norm.weight
    F32
    [7168]
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    Q5_K
    [7168, 7168]
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    Q3_K
    [7168, 7168]
  • blk.60.attn_v.weight
    Q5_K
    [7168, 1024]
  • blk.60.ffn_down.weight
    Q5_K
    [19200, 7168]
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    Q3_K
    [7168, 19200]
  • blk.60.ffn_norm.weight
    F32
    [7168]
  • blk.60.ffn_up.weight
    Q3_K
    [7168, 19200]
  • blk.61
  • blk.61.attn_k.weight
    Q3_K
    [7168, 1024]
  • blk.61.attn_norm.weight
    F32
    [7168]
  • blk.61.attn_output.weight
    Q5_K
    [7168, 7168]
  • blk.61.attn_q.weight
    Q3_K
    [7168, 7168]
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    Q5_K
    [7168, 1024]
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    Q5_K
    [19200, 7168]
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    Q3_K
    [7168, 19200]
  • blk.61.ffn_norm.weight
    F32
    [7168]
  • blk.61.ffn_up.weight
    Q3_K
    [7168, 19200]
  • output.weight
    Q6_K
    [7168, 32256]
  • output_norm.weight
    F32
    [7168]