codellama

A large language model that can use text prompts to generate and discuss code.

7b 13b 34b 70b

1.6M 5 months ago

199 Tags
... /
model
babe67d4f234 · 138GB
    Metadata
  • general.architecture
    llama
  • general.file_type
    1
  • general.name
    codellama
  • 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
    16384
  • llama.embedding_length
    8192
  • llama.feed_forward_length
    28672
  • llama.rope.dimension_count
    128
  • llama.rope.freq_base
    1e+06
  • tokenizer.ggml.add_bos_token
    true
  • tokenizer.ggml.add_eos_token
    false
  • tokenizer.ggml.bos_token_id
    1
  • tokenizer.ggml.eos_token_id
    2
  • tokenizer.ggml.model
    llama
  • tokenizer.ggml.scores
    [0, 0, 0, 0, 0, ...]
  • tokenizer.ggml.token_type
    [2, 3, 3, 6, 6, ...]
  • tokenizer.ggml.tokens
    [<unk>, <s>, </s>, <0x00>, <0x01>, ...]
  • tokenizer.ggml.unknown_token_id
    0
    • Tensor
  • Name
    Type
    Shape
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    F16
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    F16
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  • blk.0.attn_norm.weight
    F32
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  • blk.0.attn_output.weight
    F16
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  • blk.0.attn_q.weight
    F16
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  • blk.0.attn_v.weight
    F16
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    F16
    [28672, 8192]
  • blk.0.ffn_gate.weight
    F16
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  • blk.0.ffn_norm.weight
    F32
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  • blk.0.ffn_up.weight
    F16
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    • blk.1
  • blk.1.attn_k.weight
    F16
    [8192, 1024]
  • blk.1.attn_norm.weight
    F32
    [8192]
  • blk.1.attn_output.weight
    F16
    [8192, 8192]
  • blk.1.attn_q.weight
    F16
    [8192, 8192]
  • blk.1.attn_v.weight
    F16
    [8192, 1024]
  • blk.1.ffn_down.weight
    F16
    [28672, 8192]
  • blk.1.ffn_gate.weight
    F16
    [8192, 28672]
  • blk.1.ffn_norm.weight
    F32
    [8192]
  • blk.1.ffn_up.weight
    F16
    [8192, 28672]
    • blk.2
  • blk.2.attn_k.weight
    F16
    [8192, 1024]
  • blk.2.attn_norm.weight
    F32
    [8192]
  • blk.2.attn_output.weight
    F16
    [8192, 8192]
  • blk.2.attn_q.weight
    F16
    [8192, 8192]
  • blk.2.attn_v.weight
    F16
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  • blk.2.ffn_down.weight
    F16
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  • blk.2.ffn_gate.weight
    F16
    [8192, 28672]
  • blk.2.ffn_norm.weight
    F32
    [8192]
  • blk.2.ffn_up.weight
    F16
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    • blk.3
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    F16
    [8192, 1024]
  • blk.3.attn_norm.weight
    F32
    [8192]
  • blk.3.attn_output.weight
    F16
    [8192, 8192]
  • blk.3.attn_q.weight
    F16
    [8192, 8192]
  • blk.3.attn_v.weight
    F16
    [8192, 1024]
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    F16
    [28672, 8192]
  • blk.3.ffn_gate.weight
    F16
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  • blk.3.ffn_norm.weight
    F32
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  • blk.3.ffn_up.weight
    F16
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    F16
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    F32
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    F16
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    F16
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  • blk.4.attn_v.weight
    F16
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    F16
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    F16
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  • blk.4.ffn_norm.weight
    F32
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    F16
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    F16
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    F32
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    F16
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    F16
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    F16
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    F16
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    F16
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    F32
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    F16
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    F16
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  • blk.6.attn_norm.weight
    F32
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  • blk.6.attn_output.weight
    F16
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  • blk.6.attn_q.weight
    F16
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  • blk.6.attn_v.weight
    F16
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    F16
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    F16
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    F32
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    F16
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    F16
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    F32
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    F16
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    F16
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    F16
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    F16
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    F16
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    F16
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    F16
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    F16
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    F16
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    F32
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    F16
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    F16
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    F32
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    F16
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  • blk.10.attn_q.weight
    F16
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    F16
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    F16
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    F16
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    F16
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  • blk.11.attn_norm.weight
    F32
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    F16
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    F16
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    F16
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    F16
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    F16
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