InternLM2.5 is a 7B parameter model tailored for practical scenarios with outstanding reasoning capability.

1m 1.8b 7b 20b

59.7K 3 months ago

7161e09802c2 · 3.8GB
    Metadata
  • general.architecture
    internlm2
  • general.basename
    internlm2_5
  • general.file_type
    1
  • general.finetune
    chat
  • general.license
    other
  • general.name
    Internlm2_5 1_8b Chat
  • general.quantization_version
    2
  • general.size_label
    1.8B
  • general.tags
    [text-generation]
  • 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>, ...]
  • Tensor
  • Name
    Type
    Shape
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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
    [2048, 2048]
  • 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
    [2048, 8192]
  • 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
    [2048, 8192]
  • 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
    [2048, 1024]
  • blk.3.ffn_down.weight
    F16
    [8192, 2048]
  • blk.3.ffn_gate.weight
    F16
    [2048, 8192]
  • 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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  • blk.4.attn_norm.weight
    F32
    [2048]
  • blk.4.attn_output.weight
    F16
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  • blk.4.attn_q.weight
    F16
    [2048, 2048]
  • blk.4.attn_v.weight
    F16
    [2048, 1024]
  • blk.4.ffn_down.weight
    F16
    [8192, 2048]
  • blk.4.ffn_gate.weight
    F16
    [2048, 8192]
  • blk.4.ffn_norm.weight
    F32
    [2048]
  • blk.4.ffn_up.weight
    F16
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    F16
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  • blk.5.attn_norm.weight
    F32
    [2048]
  • blk.5.attn_output.weight
    F16
    [2048, 2048]
  • blk.5.attn_q.weight
    F16
    [2048, 2048]
  • blk.5.attn_v.weight
    F16
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  • blk.5.ffn_down.weight
    F16
    [8192, 2048]
  • blk.5.ffn_gate.weight
    F16
    [2048, 8192]
  • blk.5.ffn_norm.weight
    F32
    [2048]
  • blk.5.ffn_up.weight
    F16
    [2048, 8192]
  • blk.6
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    F16
    [2048, 1024]
  • blk.6.attn_norm.weight
    F32
    [2048]
  • blk.6.attn_output.weight
    F16
    [2048, 2048]
  • blk.6.attn_q.weight
    F16
    [2048, 2048]
  • blk.6.attn_v.weight
    F16
    [2048, 1024]
  • blk.6.ffn_down.weight
    F16
    [8192, 2048]
  • blk.6.ffn_gate.weight
    F16
    [2048, 8192]
  • blk.6.ffn_norm.weight
    F32
    [2048]
  • 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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  • blk.7.attn_output.weight
    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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  • blk.7.ffn_down.weight
    F16
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  • blk.7.ffn_gate.weight
    F16
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  • blk.7.ffn_norm.weight
    F32
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  • blk.7.ffn_up.weight
    F16
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    F16
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    F32
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    F16
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  • blk.8.attn_q.weight
    F16
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    F16
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    F16
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    F16
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  • blk.8.ffn_norm.weight
    F32
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  • blk.8.ffn_up.weight
    F16
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    F16
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  • blk.9.attn_norm.weight
    F32
    [2048]
  • blk.9.attn_output.weight
    F16
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  • blk.9.attn_q.weight
    F16
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  • blk.9.attn_v.weight
    F16
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    F16
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  • blk.9.ffn_gate.weight
    F16
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  • blk.9.ffn_norm.weight
    F32
    [2048]
  • blk.9.ffn_up.weight
    F16
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    F16
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  • blk.10.attn_norm.weight
    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
    [2048, 1024]
  • blk.10.ffn_down.weight
    F16
    [8192, 2048]
  • blk.10.ffn_gate.weight
    F16
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  • blk.10.ffn_norm.weight
    F32
    [2048]
  • blk.10.ffn_up.weight
    F16
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  • blk.11
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    F16
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  • blk.11.attn_norm.weight
    F32
    [2048]
  • blk.11.attn_output.weight
    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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  • blk.12.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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    F16
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  • blk.13.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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  • blk.13.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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  • blk.14.ffn_norm.weight
    F32
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  • blk.14.ffn_up.weight
    F16
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  • blk.15
  • blk.15.attn_k.weight
    F16
    [2048, 1024]
  • blk.15.attn_norm.weight
    F32
    [2048]
  • blk.15.attn_output.weight
    F16
    [2048, 2048]
  • blk.15.attn_q.weight
    F16
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  • blk.15.attn_v.weight
    F16
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    F16
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  • blk.15.ffn_gate.weight
    F16
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  • blk.15.ffn_norm.weight
    F32
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  • blk.15.ffn_up.weight
    F16
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    F16
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  • blk.16.attn_norm.weight
    F32
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    F16
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  • blk.16.attn_q.weight
    F16
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    F16
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    F16
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    F16
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  • blk.16.ffn_norm.weight
    F32
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  • blk.16.ffn_up.weight
    F16
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  • blk.17
  • blk.17.attn_k.weight
    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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  • blk.17.attn_q.weight
    F16
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  • blk.17.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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  • blk.18.ffn_up.weight
    F16
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  • blk.19.attn_k.weight
    F16
    [2048, 1024]
  • blk.19.attn_norm.weight
    F32
    [2048]
  • blk.19.attn_output.weight
    F16
    [2048, 2048]
  • blk.19.attn_q.weight
    F16
    [2048, 2048]
  • blk.19.attn_v.weight
    F16
    [2048, 1024]
  • blk.19.ffn_down.weight
    F16
    [8192, 2048]
  • blk.19.ffn_gate.weight
    F16
    [2048, 8192]
  • blk.19.ffn_norm.weight
    F32
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  • blk.19.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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    F16
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    F16
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    F16
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    F32
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  • blk.20.ffn_up.weight
    F16
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  • blk.21.attn_k.weight
    F16
    [2048, 1024]
  • blk.21.attn_norm.weight
    F32
    [2048]
  • blk.21.attn_output.weight
    F16
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  • blk.21.attn_q.weight
    F16
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  • blk.21.attn_v.weight
    F16
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    F16
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  • blk.21.ffn_gate.weight
    F16
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  • blk.21.ffn_norm.weight
    F32
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  • blk.21.ffn_up.weight
    F16
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  • blk.22.attn_k.weight
    F16
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  • blk.22.attn_norm.weight
    F32
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  • blk.22.attn_output.weight
    F16
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  • blk.22.attn_q.weight
    F16
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  • blk.22.attn_v.weight
    F16
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    F16
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    F16
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  • blk.22.ffn_norm.weight
    F32
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  • blk.22.ffn_up.weight
    F16
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  • blk.23.attn_k.weight
    F16
    [2048, 1024]
  • blk.23.attn_norm.weight
    F32
    [2048]
  • blk.23.attn_output.weight
    F16
    [2048, 2048]
  • blk.23.attn_q.weight
    F16
    [2048, 2048]
  • blk.23.attn_v.weight
    F16
    [2048, 1024]
  • blk.23.ffn_down.weight
    F16
    [8192, 2048]
  • blk.23.ffn_gate.weight
    F16
    [2048, 8192]
  • blk.23.ffn_norm.weight
    F32
    [2048]
  • blk.23.ffn_up.weight
    F16
    [2048, 8192]
  • output.weight
    F16
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  • output_norm.weight
    F32
    [2048]