exaone-deep:32b-q8_0

149.6K 5 months ago

EXAONE Deep exhibits superior capabilities in various reasoning tasks including math and coding benchmarks, ranging from 2.4B to 32B parameters developed and released by LG AI Research.

2.4b 7.8b 32b
... /
model
e19c9bb175cc · 34GB
    Metadata
  • general.architecture
    exaone
  • general.file_type
    Q8_0
  • exaone.attention.head_count
    40
  • exaone.attention.head_count_kv
    8
  • exaone.attention.layer_norm_rms_epsilon
    1e-05
  • exaone.block_count
    64
  • exaone.context_length
    32768
  • exaone.embedding_length
    5120
  • exaone.feed_forward_length
    27392
  • exaone.rope.dimension_count
    128
  • exaone.rope.freq_base
    1e+06
  • tokenizer.ggml.bos_token_id
    1
  • tokenizer.ggml.eos_token_id
    361
  • tokenizer.ggml.merges
    [t h, Ġ a, Ġ í, i n, Ġ th, ...]
  • tokenizer.ggml.model
    gpt2
  • tokenizer.ggml.padding_token_id
    0
  • tokenizer.ggml.pre
    exaone
  • tokenizer.ggml.token_type
    [3, 3, 3, 3, 4, ...]
  • tokenizer.ggml.tokens
    [[PAD], [BOS], [EOS], [UNK], , ...]
  • tokenizer.ggml.unknown_token_id
    3
    • Tensor
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    Q8_0
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  • blk.55.ffn_gate.weight
    Q8_0
    [5120, 27392]
  • blk.55.ffn_norm.weight
    F32
    [5120]
  • blk.55.ffn_up.weight
    Q8_0
    [5120, 27392]
    • blk.56
  • blk.56.attn_k.weight
    Q8_0
    [5120, 1024]
  • blk.56.attn_norm.weight
    F32
    [5120]
  • blk.56.attn_output.weight
    Q8_0
    [5120, 5120]
  • blk.56.attn_q.weight
    Q8_0
    [5120, 5120]
  • blk.56.attn_v.weight
    Q8_0
    [5120, 1024]
  • blk.56.ffn_down.weight
    Q8_0
    [27392, 5120]
  • blk.56.ffn_gate.weight
    Q8_0
    [5120, 27392]
  • blk.56.ffn_norm.weight
    F32
    [5120]
  • blk.56.ffn_up.weight
    Q8_0
    [5120, 27392]
    • blk.57
  • blk.57.attn_k.weight
    Q8_0
    [5120, 1024]
  • blk.57.attn_norm.weight
    F32
    [5120]
  • blk.57.attn_output.weight
    Q8_0
    [5120, 5120]
  • blk.57.attn_q.weight
    Q8_0
    [5120, 5120]
  • blk.57.attn_v.weight
    Q8_0
    [5120, 1024]
  • blk.57.ffn_down.weight
    Q8_0
    [27392, 5120]
  • blk.57.ffn_gate.weight
    Q8_0
    [5120, 27392]
  • blk.57.ffn_norm.weight
    F32
    [5120]
  • blk.57.ffn_up.weight
    Q8_0
    [5120, 27392]
    • blk.58
  • blk.58.attn_k.weight
    Q8_0
    [5120, 1024]
  • blk.58.attn_norm.weight
    F32
    [5120]
  • blk.58.attn_output.weight
    Q8_0
    [5120, 5120]
  • blk.58.attn_q.weight
    Q8_0
    [5120, 5120]
  • blk.58.attn_v.weight
    Q8_0
    [5120, 1024]
  • blk.58.ffn_down.weight
    Q8_0
    [27392, 5120]
  • blk.58.ffn_gate.weight
    Q8_0
    [5120, 27392]
  • blk.58.ffn_norm.weight
    F32
    [5120]
  • blk.58.ffn_up.weight
    Q8_0
    [5120, 27392]
    • blk.59
  • blk.59.attn_k.weight
    Q8_0
    [5120, 1024]
  • blk.59.attn_norm.weight
    F32
    [5120]
  • blk.59.attn_output.weight
    Q8_0
    [5120, 5120]
  • blk.59.attn_q.weight
    Q8_0
    [5120, 5120]
  • blk.59.attn_v.weight
    Q8_0
    [5120, 1024]
  • blk.59.ffn_down.weight
    Q8_0
    [27392, 5120]
  • blk.59.ffn_gate.weight
    Q8_0
    [5120, 27392]
  • blk.59.ffn_norm.weight
    F32
    [5120]
  • blk.59.ffn_up.weight
    Q8_0
    [5120, 27392]
    • blk.60
  • blk.60.attn_k.weight
    Q8_0
    [5120, 1024]
  • blk.60.attn_norm.weight
    F32
    [5120]
  • blk.60.attn_output.weight
    Q8_0
    [5120, 5120]
  • blk.60.attn_q.weight
    Q8_0
    [5120, 5120]
  • blk.60.attn_v.weight
    Q8_0
    [5120, 1024]
  • blk.60.ffn_down.weight
    Q8_0
    [27392, 5120]
  • blk.60.ffn_gate.weight
    Q8_0
    [5120, 27392]
  • blk.60.ffn_norm.weight
    F32
    [5120]
  • blk.60.ffn_up.weight
    Q8_0
    [5120, 27392]
    • blk.61
  • blk.61.attn_k.weight
    Q8_0
    [5120, 1024]
  • blk.61.attn_norm.weight
    F32
    [5120]
  • blk.61.attn_output.weight
    Q8_0
    [5120, 5120]
  • blk.61.attn_q.weight
    Q8_0
    [5120, 5120]
  • blk.61.attn_v.weight
    Q8_0
    [5120, 1024]
  • blk.61.ffn_down.weight
    Q8_0
    [27392, 5120]
  • blk.61.ffn_gate.weight
    Q8_0
    [5120, 27392]
  • blk.61.ffn_norm.weight
    F32
    [5120]
  • blk.61.ffn_up.weight
    Q8_0
    [5120, 27392]
    • blk.62
  • blk.62.attn_k.weight
    Q8_0
    [5120, 1024]
  • blk.62.attn_norm.weight
    F32
    [5120]
  • blk.62.attn_output.weight
    Q8_0
    [5120, 5120]
  • blk.62.attn_q.weight
    Q8_0
    [5120, 5120]
  • blk.62.attn_v.weight
    Q8_0
    [5120, 1024]
  • blk.62.ffn_down.weight
    Q8_0
    [27392, 5120]
  • blk.62.ffn_gate.weight
    Q8_0
    [5120, 27392]
  • blk.62.ffn_norm.weight
    F32
    [5120]
  • blk.62.ffn_up.weight
    Q8_0
    [5120, 27392]
    • blk.63
  • blk.63.attn_k.weight
    Q8_0
    [5120, 1024]
  • blk.63.attn_norm.weight
    F32
    [5120]
  • blk.63.attn_output.weight
    Q8_0
    [5120, 5120]
  • blk.63.attn_q.weight
    Q8_0
    [5120, 5120]
  • blk.63.attn_v.weight
    Q8_0
    [5120, 1024]
  • blk.63.ffn_down.weight
    Q8_0
    [27392, 5120]
  • blk.63.ffn_gate.weight
    Q8_0
    [5120, 27392]
  • blk.63.ffn_norm.weight
    F32
    [5120]
  • blk.63.ffn_up.weight
    Q8_0
    [5120, 27392]
  • output.weight
    Q8_0
    [5120, 102400]
  • rope_freqs.weight
    F32
    [64]
  • output_norm.weight
    F32
    [5120]