internlm / internlm2.5

InternLM2.5 has open-sourced 1.8b, 7b, 20b base models and chat models tailored for practical scenarios.

1,918 3 months ago

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model
2f2d18adf63d · 3.8GB
    Metadata
  • general.architecture
    internlm2
  • general.file_type
    1
  • general.name
    internlm2_5-1_8b-chat
  • general.quantization_version
    2
  • general.size_label
    1.9B
  • general.type
    model
  • internlm2.attention.head_count
    16
  • internlm2.attention.head_count_kv
    8
  • internlm2.attention.layer_norm_rms_epsilon
    1e-05
  • internlm2.block_count
    24
  • internlm2.context_length
    32768
  • internlm2.embedding_length
    2048
  • internlm2.feed_forward_length
    8192
  • internlm2.rope.freq_base
    1e+06
  • tokenizer.ggml.add_bos_token
    true
  • tokenizer.ggml.add_eos_token
    false
  • tokenizer.ggml.add_space_prefix
    false
  • tokenizer.ggml.bos_token_id
    1
  • tokenizer.ggml.eos_token_id
    92542
  • tokenizer.ggml.model
    llama
  • tokenizer.ggml.padding_token_id
    2
  • tokenizer.ggml.pre
    default
  • tokenizer.ggml.scores
    [-1000, -1000, -1000, 0, 0, ...]
  • tokenizer.ggml.token_type
    [3, 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
    [2048, 2048]
  • blk.0.attn_q.weight
    F16
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  • blk.0.attn_v.weight
    F16
    [2048, 1024]
  • blk.0.ffn_down.weight
    F16
    [8192, 2048]
  • blk.0.ffn_gate.weight
    F16
    [2048, 8192]
  • blk.0.ffn_norm.weight
    F32
    [2048]
  • blk.0.ffn_up.weight
    F16
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    • blk.1
  • blk.1.attn_k.weight
    F16
    [2048, 1024]
  • blk.1.attn_norm.weight
    F32
    [2048]
  • blk.1.attn_output.weight
    F16
    [2048, 2048]
  • blk.1.attn_q.weight
    F16
    [2048, 2048]
  • blk.1.attn_v.weight
    F16
    [2048, 1024]
  • blk.1.ffn_down.weight
    F16
    [8192, 2048]
  • blk.1.ffn_gate.weight
    F16
    [2048, 8192]
  • blk.1.ffn_norm.weight
    F32
    [2048]
  • blk.1.ffn_up.weight
    F16
    [2048, 8192]
    • blk.2
  • blk.2.attn_k.weight
    F16
    [2048, 1024]
  • blk.2.attn_norm.weight
    F32
    [2048]
  • blk.2.attn_output.weight
    F16
    [2048, 2048]
  • blk.2.attn_q.weight
    F16
    [2048, 2048]
  • blk.2.attn_v.weight
    F16
    [2048, 1024]
  • blk.2.ffn_down.weight
    F16
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  • blk.2.ffn_gate.weight
    F16
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  • blk.2.ffn_norm.weight
    F32
    [2048]
  • blk.2.ffn_up.weight
    F16
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    • blk.3
  • blk.3.attn_k.weight
    F16
    [2048, 1024]
  • blk.3.attn_norm.weight
    F32
    [2048]
  • blk.3.attn_output.weight
    F16
    [2048, 2048]
  • blk.3.attn_q.weight
    F16
    [2048, 2048]
  • blk.3.attn_v.weight
    F16
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    F16
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  • 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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  • blk.4.ffn_gate.weight
    F16
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  • blk.4.ffn_norm.weight
    F32
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  • blk.4.ffn_up.weight
    F16
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    F16
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  • blk.5.attn_norm.weight
    F32
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  • blk.5.attn_output.weight
    F16
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  • blk.5.attn_q.weight
    F16
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  • blk.5.attn_v.weight
    F16
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    F16
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  • blk.5.ffn_gate.weight
    F16
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  • blk.5.ffn_norm.weight
    F32
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  • blk.5.ffn_up.weight
    F16
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    • blk.6
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    F16
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  • blk.6.attn_norm.weight
    F32
    [2048]
  • 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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  • blk.6.ffn_up.weight
    F16
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    • blk.7
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    F16
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  • blk.7.attn_norm.weight
    F32
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    F16
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  • blk.7.attn_q.weight
    F16
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  • blk.7.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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    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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    F32
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    F16
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    F16
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    F32
    [2048]
  • blk.10.attn_output.weight
    F16
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  • blk.10.attn_q.weight
    F16
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  • blk.10.attn_v.weight
    F16
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    F16
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  • blk.10.ffn_gate.weight
    F16
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  • blk.10.ffn_norm.weight
    F32
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  • blk.10.ffn_up.weight
    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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  • blk.11.attn_q.weight
    F16
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  • blk.11.attn_v.weight
    F16
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    F16
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    F16
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  • blk.11.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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    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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    F32
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    F16
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    F16
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    F32
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  • blk.15.attn_output.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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    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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  • blk.17.attn_norm.weight
    F32
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  • blk.17.attn_output.weight
    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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    F32
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    F16
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    F16
    [2048, 1024]
  • blk.19.attn_norm.weight
    F32
    [2048]
  • blk.19.attn_output.weight
    F16
    [2048, 2048]
  • blk.19.attn_q.weight
    F16
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  • blk.19.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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    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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    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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  • output.weight
    F16
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    F32
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