3 1 year ago

13f4db119ae0 · 445MB
    Metadata
  • general.architecture
    phi3
  • general.file_type
    F16
  • phi3.attention.head_count
    32
  • phi3.attention.head_count_kv
    32
  • phi3.attention.layer_norm_rms_epsilon
    1e-05
  • phi3.attention.sliding_window
    2047
  • phi3.block_count
    32
  • phi3.context_length
    4096
  • phi3.embedding_length
    3072
  • phi3.feed_forward_length
    8192
  • phi3.rope.dimension_count
    96
  • phi3.rope.freq_base
    10000
  • phi3.rope.scaling.original_context_length
    4096
  • tokenizer.ggml.add_bos_token
    false
  • tokenizer.ggml.add_eos_token
    false
  • tokenizer.ggml.add_padding_token
    false
  • tokenizer.ggml.add_unknown_token
    false
  • tokenizer.ggml.bos_token_id
    1
  • tokenizer.ggml.eos_token_id
    32000
  • tokenizer.ggml.merges
    [▁ t, e r, i n, ▁ a, e n, ...]
  • tokenizer.ggml.model
    llama
  • tokenizer.ggml.padding_token_id
    32000
  • tokenizer.ggml.pre
    default
  • 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
    base_model.model.blk.0
  • base_model.model.blk.0.attn_output.lora_A.weight
    F16
    [3072, 16]
  • base_model.model.blk.0.attn_output.lora_B.weight
    F16
    [16, 3072]
  • base_model.model.blk.0.attn_qkv.lora_A.weight
    F16
    [3072, 16]
  • base_model.model.blk.0.attn_qkv.lora_B.weight
    F16
    [16, 9216]
  • base_model.model.blk.0.ffn_down.lora_A.weight
    F16
    [8192, 16]
  • base_model.model.blk.0.ffn_down.lora_B.weight
    F16
    [16, 3072]
  • base_model.model.blk.0.ffn_up.lora_A.weight
    F16
    [3072, 16]
  • base_model.model.blk.0.ffn_up.lora_B.weight
    F16
    [16, 16384]
  • base_model.model.blk.1
  • base_model.model.blk.1.attn_output.lora_A.weight
    F16
    [3072, 16]
  • base_model.model.blk.1.attn_output.lora_B.weight
    F16
    [16, 3072]
  • base_model.model.blk.1.attn_qkv.lora_A.weight
    F16
    [3072, 16]
  • base_model.model.blk.1.attn_qkv.lora_B.weight
    F16
    [16, 9216]
  • base_model.model.blk.1.ffn_down.lora_A.weight
    F16
    [8192, 16]
  • base_model.model.blk.1.ffn_down.lora_B.weight
    F16
    [16, 3072]
  • base_model.model.blk.1.ffn_up.lora_A.weight
    F16
    [3072, 16]
  • base_model.model.blk.1.ffn_up.lora_B.weight
    F16
    [16, 16384]
  • base_model.model.blk.2
  • base_model.model.blk.2.attn_output.lora_A.weight
    F16
    [3072, 16]
  • base_model.model.blk.2.attn_output.lora_B.weight
    F16
    [16, 3072]
  • base_model.model.blk.2.attn_qkv.lora_A.weight
    F16
    [3072, 16]
  • base_model.model.blk.2.attn_qkv.lora_B.weight
    F16
    [16, 9216]
  • base_model.model.blk.2.ffn_down.lora_A.weight
    F16
    [8192, 16]
  • base_model.model.blk.2.ffn_down.lora_B.weight
    F16
    [16, 3072]
  • base_model.model.blk.2.ffn_up.lora_A.weight
    F16
    [3072, 16]
  • base_model.model.blk.2.ffn_up.lora_B.weight
    F16
    [16, 16384]
  • base_model.model.blk.3
  • base_model.model.blk.3.attn_output.lora_A.weight
    F16
    [3072, 16]
  • base_model.model.blk.3.attn_output.lora_B.weight
    F16
    [16, 3072]
  • base_model.model.blk.3.attn_qkv.lora_A.weight
    F16
    [3072, 16]
  • base_model.model.blk.3.attn_qkv.lora_B.weight
    F16
    [16, 9216]
  • base_model.model.blk.3.ffn_down.lora_A.weight
    F16
    [8192, 16]
  • base_model.model.blk.3.ffn_down.lora_B.weight
    F16
    [16, 3072]
  • base_model.model.blk.3.ffn_up.lora_A.weight
    F16
    [3072, 16]
  • base_model.model.blk.3.ffn_up.lora_B.weight
    F16
    [16, 16384]
  • base_model.model.blk.4
  • base_model.model.blk.4.attn_output.lora_A.weight
    F16
    [3072, 16]
  • base_model.model.blk.4.attn_output.lora_B.weight
    F16
    [16, 3072]
  • base_model.model.blk.4.attn_qkv.lora_A.weight
    F16
    [3072, 16]
  • base_model.model.blk.4.attn_qkv.lora_B.weight
    F16
    [16, 9216]
  • base_model.model.blk.4.ffn_down.lora_A.weight
    F16
    [8192, 16]
  • base_model.model.blk.4.ffn_down.lora_B.weight
    F16
    [16, 3072]
  • base_model.model.blk.4.ffn_up.lora_A.weight
    F16
    [3072, 16]
  • base_model.model.blk.4.ffn_up.lora_B.weight
    F16
    [16, 16384]
  • base_model.model.blk.5
  • base_model.model.blk.5.attn_output.lora_A.weight
    F16
    [3072, 16]
  • base_model.model.blk.5.attn_output.lora_B.weight
    F16
    [16, 3072]
  • base_model.model.blk.5.attn_qkv.lora_A.weight
    F16
    [3072, 16]
  • base_model.model.blk.5.attn_qkv.lora_B.weight
    F16
    [16, 9216]
  • base_model.model.blk.5.ffn_down.lora_A.weight
    F16
    [8192, 16]
  • base_model.model.blk.5.ffn_down.lora_B.weight
    F16
    [16, 3072]
  • base_model.model.blk.5.ffn_up.lora_A.weight
    F16
    [3072, 16]
  • base_model.model.blk.5.ffn_up.lora_B.weight
    F16
    [16, 16384]
  • base_model.model.blk.6
  • base_model.model.blk.6.attn_output.lora_A.weight
    F16
    [3072, 16]
  • base_model.model.blk.6.attn_output.lora_B.weight
    F16
    [16, 3072]
  • base_model.model.blk.6.attn_qkv.lora_A.weight
    F16
    [3072, 16]
  • base_model.model.blk.6.attn_qkv.lora_B.weight
    F16
    [16, 9216]
  • base_model.model.blk.6.ffn_down.lora_A.weight
    F16
    [8192, 16]
  • base_model.model.blk.6.ffn_down.lora_B.weight
    F16
    [16, 3072]
  • base_model.model.blk.6.ffn_up.lora_A.weight
    F16
    [3072, 16]
  • base_model.model.blk.6.ffn_up.lora_B.weight
    F16
    [16, 16384]
  • base_model.model.blk.7
  • base_model.model.blk.7.attn_output.lora_A.weight
    F16
    [3072, 16]
  • base_model.model.blk.7.attn_output.lora_B.weight
    F16
    [16, 3072]
  • base_model.model.blk.7.attn_qkv.lora_A.weight
    F16
    [3072, 16]
  • base_model.model.blk.7.attn_qkv.lora_B.weight
    F16
    [16, 9216]
  • base_model.model.blk.7.ffn_down.lora_A.weight
    F16
    [8192, 16]
  • base_model.model.blk.7.ffn_down.lora_B.weight
    F16
    [16, 3072]
  • base_model.model.blk.7.ffn_up.lora_A.weight
    F16
    [3072, 16]
  • base_model.model.blk.7.ffn_up.lora_B.weight
    F16
    [16, 16384]
  • base_model.model.blk.8
  • base_model.model.blk.8.attn_output.lora_A.weight
    F16
    [3072, 16]
  • base_model.model.blk.8.attn_output.lora_B.weight
    F16
    [16, 3072]
  • base_model.model.blk.8.attn_qkv.lora_A.weight
    F16
    [3072, 16]
  • base_model.model.blk.8.attn_qkv.lora_B.weight
    F16
    [16, 9216]
  • base_model.model.blk.8.ffn_down.lora_A.weight
    F16
    [8192, 16]
  • base_model.model.blk.8.ffn_down.lora_B.weight
    F16
    [16, 3072]
  • base_model.model.blk.8.ffn_up.lora_A.weight
    F16
    [3072, 16]
  • base_model.model.blk.8.ffn_up.lora_B.weight
    F16
    [16, 16384]
  • base_model.model.blk.9
  • base_model.model.blk.9.attn_output.lora_A.weight
    F16
    [3072, 16]
  • base_model.model.blk.9.attn_output.lora_B.weight
    F16
    [16, 3072]
  • base_model.model.blk.9.attn_qkv.lora_A.weight
    F16
    [3072, 16]
  • base_model.model.blk.9.attn_qkv.lora_B.weight
    F16
    [16, 9216]
  • base_model.model.blk.9.ffn_down.lora_A.weight
    F16
    [8192, 16]
  • base_model.model.blk.9.ffn_down.lora_B.weight
    F16
    [16, 3072]
  • base_model.model.blk.9.ffn_up.lora_A.weight
    F16
    [3072, 16]
  • base_model.model.blk.9.ffn_up.lora_B.weight
    F16
    [16, 16384]
  • base_model.model.blk.10
  • base_model.model.blk.10.attn_output.lora_A.weight
    F16
    [3072, 16]
  • base_model.model.blk.10.attn_output.lora_B.weight
    F16
    [16, 3072]
  • base_model.model.blk.10.attn_qkv.lora_A.weight
    F16
    [3072, 16]
  • base_model.model.blk.10.attn_qkv.lora_B.weight
    F16
    [16, 9216]
  • base_model.model.blk.10.ffn_down.lora_A.weight
    F16
    [8192, 16]
  • base_model.model.blk.10.ffn_down.lora_B.weight
    F16
    [16, 3072]
  • base_model.model.blk.10.ffn_up.lora_A.weight
    F16
    [3072, 16]
  • base_model.model.blk.10.ffn_up.lora_B.weight
    F16
    [16, 16384]
  • base_model.model.blk.11
  • base_model.model.blk.11.attn_output.lora_A.weight
    F16
    [3072, 16]
  • base_model.model.blk.11.attn_output.lora_B.weight
    F16
    [16, 3072]
  • base_model.model.blk.11.attn_qkv.lora_A.weight
    F16
    [3072, 16]
  • base_model.model.blk.11.attn_qkv.lora_B.weight
    F16
    [16, 9216]
  • base_model.model.blk.11.ffn_down.lora_A.weight
    F16
    [8192, 16]
  • base_model.model.blk.11.ffn_down.lora_B.weight
    F16
    [16, 3072]
  • base_model.model.blk.11.ffn_up.lora_A.weight
    F16
    [3072, 16]
  • base_model.model.blk.11.ffn_up.lora_B.weight
    F16
    [16, 16384]
  • base_model.model.blk.12
  • base_model.model.blk.12.attn_output.lora_A.weight
    F16
    [3072, 16]
  • base_model.model.blk.12.attn_output.lora_B.weight
    F16
    [16, 3072]
  • base_model.model.blk.12.attn_qkv.lora_A.weight
    F16
    [3072, 16]
  • base_model.model.blk.12.attn_qkv.lora_B.weight
    F16
    [16, 9216]
  • base_model.model.blk.12.ffn_down.lora_A.weight
    F16
    [8192, 16]
  • base_model.model.blk.12.ffn_down.lora_B.weight
    F16
    [16, 3072]
  • base_model.model.blk.12.ffn_up.lora_A.weight
    F16
    [3072, 16]
  • base_model.model.blk.12.ffn_up.lora_B.weight
    F16
    [16, 16384]
  • base_model.model.blk.13
  • base_model.model.blk.13.attn_output.lora_A.weight
    F16
    [3072, 16]
  • base_model.model.blk.13.attn_output.lora_B.weight
    F16
    [16, 3072]
  • base_model.model.blk.13.attn_qkv.lora_A.weight
    F16
    [3072, 16]
  • base_model.model.blk.13.attn_qkv.lora_B.weight
    F16
    [16, 9216]
  • base_model.model.blk.13.ffn_down.lora_A.weight
    F16
    [8192, 16]
  • base_model.model.blk.13.ffn_down.lora_B.weight
    F16
    [16, 3072]
  • base_model.model.blk.13.ffn_up.lora_A.weight
    F16
    [3072, 16]
  • base_model.model.blk.13.ffn_up.lora_B.weight
    F16
    [16, 16384]
  • base_model.model.blk.14
  • base_model.model.blk.14.attn_output.lora_A.weight
    F16
    [3072, 16]
  • base_model.model.blk.14.attn_output.lora_B.weight
    F16
    [16, 3072]
  • base_model.model.blk.14.attn_qkv.lora_A.weight
    F16
    [3072, 16]
  • base_model.model.blk.14.attn_qkv.lora_B.weight
    F16
    [16, 9216]
  • base_model.model.blk.14.ffn_down.lora_A.weight
    F16
    [8192, 16]
  • base_model.model.blk.14.ffn_down.lora_B.weight
    F16
    [16, 3072]
  • base_model.model.blk.14.ffn_up.lora_A.weight
    F16
    [3072, 16]
  • base_model.model.blk.14.ffn_up.lora_B.weight
    F16
    [16, 16384]
  • base_model.model.blk.15
  • base_model.model.blk.15.attn_output.lora_A.weight
    F16
    [3072, 16]
  • base_model.model.blk.15.attn_output.lora_B.weight
    F16
    [16, 3072]
  • base_model.model.blk.15.attn_qkv.lora_A.weight
    F16
    [3072, 16]
  • base_model.model.blk.15.attn_qkv.lora_B.weight
    F16
    [16, 9216]
  • base_model.model.blk.15.ffn_down.lora_A.weight
    F16
    [8192, 16]
  • base_model.model.blk.15.ffn_down.lora_B.weight
    F16
    [16, 3072]
  • base_model.model.blk.15.ffn_up.lora_A.weight
    F16
    [3072, 16]
  • base_model.model.blk.15.ffn_up.lora_B.weight
    F16
    [16, 16384]
  • base_model.model.blk.16
  • base_model.model.blk.16.attn_output.lora_A.weight
    F16
    [3072, 16]
  • base_model.model.blk.16.attn_output.lora_B.weight
    F16
    [16, 3072]
  • base_model.model.blk.16.attn_qkv.lora_A.weight
    F16
    [3072, 16]
  • base_model.model.blk.16.attn_qkv.lora_B.weight
    F16
    [16, 9216]
  • base_model.model.blk.16.ffn_down.lora_A.weight
    F16
    [8192, 16]
  • base_model.model.blk.16.ffn_down.lora_B.weight
    F16
    [16, 3072]
  • base_model.model.blk.16.ffn_up.lora_A.weight
    F16
    [3072, 16]
  • base_model.model.blk.16.ffn_up.lora_B.weight
    F16
    [16, 16384]
  • base_model.model.blk.17
  • base_model.model.blk.17.attn_output.lora_A.weight
    F16
    [3072, 16]
  • base_model.model.blk.17.attn_output.lora_B.weight
    F16
    [16, 3072]
  • base_model.model.blk.17.attn_qkv.lora_A.weight
    F16
    [3072, 16]
  • base_model.model.blk.17.attn_qkv.lora_B.weight
    F16
    [16, 9216]
  • base_model.model.blk.17.ffn_down.lora_A.weight
    F16
    [8192, 16]
  • base_model.model.blk.17.ffn_down.lora_B.weight
    F16
    [16, 3072]
  • base_model.model.blk.17.ffn_up.lora_A.weight
    F16
    [3072, 16]
  • base_model.model.blk.17.ffn_up.lora_B.weight
    F16
    [16, 16384]
  • base_model.model.blk.18
  • base_model.model.blk.18.attn_output.lora_A.weight
    F16
    [3072, 16]
  • base_model.model.blk.18.attn_output.lora_B.weight
    F16
    [16, 3072]
  • base_model.model.blk.18.attn_qkv.lora_A.weight
    F16
    [3072, 16]
  • base_model.model.blk.18.attn_qkv.lora_B.weight
    F16
    [16, 9216]
  • base_model.model.blk.18.ffn_down.lora_A.weight
    F16
    [8192, 16]
  • base_model.model.blk.18.ffn_down.lora_B.weight
    F16
    [16, 3072]
  • base_model.model.blk.18.ffn_up.lora_A.weight
    F16
    [3072, 16]
  • base_model.model.blk.18.ffn_up.lora_B.weight
    F16
    [16, 16384]
  • base_model.model.blk.19
  • base_model.model.blk.19.attn_output.lora_A.weight
    F16
    [3072, 16]
  • base_model.model.blk.19.attn_output.lora_B.weight
    F16
    [16, 3072]
  • base_model.model.blk.19.attn_qkv.lora_A.weight
    F16
    [3072, 16]
  • base_model.model.blk.19.attn_qkv.lora_B.weight
    F16
    [16, 9216]
  • base_model.model.blk.19.ffn_down.lora_A.weight
    F16
    [8192, 16]
  • base_model.model.blk.19.ffn_down.lora_B.weight
    F16
    [16, 3072]
  • base_model.model.blk.19.ffn_up.lora_A.weight
    F16
    [3072, 16]
  • base_model.model.blk.19.ffn_up.lora_B.weight
    F16
    [16, 16384]
  • base_model.model.blk.20
  • base_model.model.blk.20.attn_output.lora_A.weight
    F16
    [3072, 16]
  • base_model.model.blk.20.attn_output.lora_B.weight
    F16
    [16, 3072]
  • base_model.model.blk.20.attn_qkv.lora_A.weight
    F16
    [3072, 16]
  • base_model.model.blk.20.attn_qkv.lora_B.weight
    F16
    [16, 9216]
  • base_model.model.blk.20.ffn_down.lora_A.weight
    F16
    [8192, 16]
  • base_model.model.blk.20.ffn_down.lora_B.weight
    F16
    [16, 3072]
  • base_model.model.blk.20.ffn_up.lora_A.weight
    F16
    [3072, 16]
  • base_model.model.blk.20.ffn_up.lora_B.weight
    F16
    [16, 16384]
  • base_model.model.blk.21
  • base_model.model.blk.21.attn_output.lora_A.weight
    F16
    [3072, 16]
  • base_model.model.blk.21.attn_output.lora_B.weight
    F16
    [16, 3072]
  • base_model.model.blk.21.attn_qkv.lora_A.weight
    F16
    [3072, 16]
  • base_model.model.blk.21.attn_qkv.lora_B.weight
    F16
    [16, 9216]
  • base_model.model.blk.21.ffn_down.lora_A.weight
    F16
    [8192, 16]
  • base_model.model.blk.21.ffn_down.lora_B.weight
    F16
    [16, 3072]
  • base_model.model.blk.21.ffn_up.lora_A.weight
    F16
    [3072, 16]
  • base_model.model.blk.21.ffn_up.lora_B.weight
    F16
    [16, 16384]
  • base_model.model.blk.22
  • base_model.model.blk.22.attn_output.lora_A.weight
    F16
    [3072, 16]
  • base_model.model.blk.22.attn_output.lora_B.weight
    F16
    [16, 3072]
  • base_model.model.blk.22.attn_qkv.lora_A.weight
    F16
    [3072, 16]
  • base_model.model.blk.22.attn_qkv.lora_B.weight
    F16
    [16, 9216]
  • base_model.model.blk.22.ffn_down.lora_A.weight
    F16
    [8192, 16]
  • base_model.model.blk.22.ffn_down.lora_B.weight
    F16
    [16, 3072]
  • base_model.model.blk.22.ffn_up.lora_A.weight
    F16
    [3072, 16]
  • base_model.model.blk.22.ffn_up.lora_B.weight
    F16
    [16, 16384]
  • base_model.model.blk.23
  • base_model.model.blk.23.attn_output.lora_A.weight
    F16
    [3072, 16]
  • base_model.model.blk.23.attn_output.lora_B.weight
    F16
    [16, 3072]
  • base_model.model.blk.23.attn_qkv.lora_A.weight
    F16
    [3072, 16]
  • base_model.model.blk.23.attn_qkv.lora_B.weight
    F16
    [16, 9216]
  • base_model.model.blk.23.ffn_down.lora_A.weight
    F16
    [8192, 16]
  • base_model.model.blk.23.ffn_down.lora_B.weight
    F16
    [16, 3072]
  • base_model.model.blk.23.ffn_up.lora_A.weight
    F16
    [3072, 16]
  • base_model.model.blk.23.ffn_up.lora_B.weight
    F16
    [16, 16384]
  • base_model.model.blk.24
  • base_model.model.blk.24.attn_output.lora_A.weight
    F16
    [3072, 16]
  • base_model.model.blk.24.attn_output.lora_B.weight
    F16
    [16, 3072]
  • base_model.model.blk.24.attn_qkv.lora_A.weight
    F16
    [3072, 16]
  • base_model.model.blk.24.attn_qkv.lora_B.weight
    F16
    [16, 9216]
  • base_model.model.blk.24.ffn_down.lora_A.weight
    F16
    [8192, 16]
  • base_model.model.blk.24.ffn_down.lora_B.weight
    F16
    [16, 3072]
  • base_model.model.blk.24.ffn_up.lora_A.weight
    F16
    [3072, 16]
  • base_model.model.blk.24.ffn_up.lora_B.weight
    F16
    [16, 16384]
  • base_model.model.blk.25
  • base_model.model.blk.25.attn_output.lora_A.weight
    F16
    [3072, 16]
  • base_model.model.blk.25.attn_output.lora_B.weight
    F16
    [16, 3072]
  • base_model.model.blk.25.attn_qkv.lora_A.weight
    F16
    [3072, 16]
  • base_model.model.blk.25.attn_qkv.lora_B.weight
    F16
    [16, 9216]
  • base_model.model.blk.25.ffn_down.lora_A.weight
    F16
    [8192, 16]
  • base_model.model.blk.25.ffn_down.lora_B.weight
    F16
    [16, 3072]
  • base_model.model.blk.25.ffn_up.lora_A.weight
    F16
    [3072, 16]
  • base_model.model.blk.25.ffn_up.lora_B.weight
    F16
    [16, 16384]
  • base_model.model.blk.26
  • base_model.model.blk.26.attn_output.lora_A.weight
    F16
    [3072, 16]
  • base_model.model.blk.26.attn_output.lora_B.weight
    F16
    [16, 3072]
  • base_model.model.blk.26.attn_qkv.lora_A.weight
    F16
    [3072, 16]
  • base_model.model.blk.26.attn_qkv.lora_B.weight
    F16
    [16, 9216]
  • base_model.model.blk.26.ffn_down.lora_A.weight
    F16
    [8192, 16]
  • base_model.model.blk.26.ffn_down.lora_B.weight
    F16
    [16, 3072]
  • base_model.model.blk.26.ffn_up.lora_A.weight
    F16
    [3072, 16]
  • base_model.model.blk.26.ffn_up.lora_B.weight
    F16
    [16, 16384]
  • base_model.model.blk.27
  • base_model.model.blk.27.attn_output.lora_A.weight
    F16
    [3072, 16]
  • base_model.model.blk.27.attn_output.lora_B.weight
    F16
    [16, 3072]
  • base_model.model.blk.27.attn_qkv.lora_A.weight
    F16
    [3072, 16]
  • base_model.model.blk.27.attn_qkv.lora_B.weight
    F16
    [16, 9216]
  • base_model.model.blk.27.ffn_down.lora_A.weight
    F16
    [8192, 16]
  • base_model.model.blk.27.ffn_down.lora_B.weight
    F16
    [16, 3072]
  • base_model.model.blk.27.ffn_up.lora_A.weight
    F16
    [3072, 16]
  • base_model.model.blk.27.ffn_up.lora_B.weight
    F16
    [16, 16384]
  • base_model.model.blk.28
  • base_model.model.blk.28.attn_output.lora_A.weight
    F16
    [3072, 16]
  • base_model.model.blk.28.attn_output.lora_B.weight
    F16
    [16, 3072]
  • base_model.model.blk.28.attn_qkv.lora_A.weight
    F16
    [3072, 16]
  • base_model.model.blk.28.attn_qkv.lora_B.weight
    F16
    [16, 9216]
  • base_model.model.blk.28.ffn_down.lora_A.weight
    F16
    [8192, 16]
  • base_model.model.blk.28.ffn_down.lora_B.weight
    F16
    [16, 3072]
  • base_model.model.blk.28.ffn_up.lora_A.weight
    F16
    [3072, 16]
  • base_model.model.blk.28.ffn_up.lora_B.weight
    F16
    [16, 16384]
  • base_model.model.blk.29
  • base_model.model.blk.29.attn_output.lora_A.weight
    F16
    [3072, 16]
  • base_model.model.blk.29.attn_output.lora_B.weight
    F16
    [16, 3072]
  • base_model.model.blk.29.attn_qkv.lora_A.weight
    F16
    [3072, 16]
  • base_model.model.blk.29.attn_qkv.lora_B.weight
    F16
    [16, 9216]
  • base_model.model.blk.29.ffn_down.lora_A.weight
    F16
    [8192, 16]
  • base_model.model.blk.29.ffn_down.lora_B.weight
    F16
    [16, 3072]
  • base_model.model.blk.29.ffn_up.lora_A.weight
    F16
    [3072, 16]
  • base_model.model.blk.29.ffn_up.lora_B.weight
    F16
    [16, 16384]
  • base_model.model.blk.30
  • base_model.model.blk.30.attn_output.lora_A.weight
    F16
    [3072, 16]
  • base_model.model.blk.30.attn_output.lora_B.weight
    F16
    [16, 3072]
  • base_model.model.blk.30.attn_qkv.lora_A.weight
    F16
    [3072, 16]
  • base_model.model.blk.30.attn_qkv.lora_B.weight
    F16
    [16, 9216]
  • base_model.model.blk.30.ffn_down.lora_A.weight
    F16
    [8192, 16]
  • base_model.model.blk.30.ffn_down.lora_B.weight
    F16
    [16, 3072]
  • base_model.model.blk.30.ffn_up.lora_A.weight
    F16
    [3072, 16]
  • base_model.model.blk.30.ffn_up.lora_B.weight
    F16
    [16, 16384]
  • base_model.model.blk.31
  • base_model.model.blk.31.attn_output.lora_A.weight
    F16
    [3072, 16]
  • base_model.model.blk.31.attn_output.lora_B.weight
    F16
    [16, 3072]
  • base_model.model.blk.31.attn_qkv.lora_A.weight
    F16
    [3072, 16]
  • base_model.model.blk.31.attn_qkv.lora_B.weight
    F16
    [16, 9216]
  • base_model.model.blk.31.ffn_down.lora_A.weight
    F16
    [8192, 16]
  • base_model.model.blk.31.ffn_down.lora_B.weight
    F16
    [16, 3072]
  • base_model.model.blk.31.ffn_up.lora_A.weight
    F16
    [3072, 16]
  • base_model.model.blk.31.ffn_up.lora_B.weight
    F16
    [16, 16384]
  • base_model.model.output.weight
    F16
    [3072, 32011]
  • base_model.model.token_embd.weight
    F16
    [3072, 32011]