wizardlm2:8x22b

403K 1 year ago

State of the art large language model from Microsoft AI with improved performance on complex chat, multilingual, reasoning and agent use cases.

7b 8x22b
... /
model
cfcf93119280 · 80GB
    Metadata
  • general.architecture
    llama
  • general.file_type
    Q4_0
  • llama.attention.head_count
    48
  • llama.attention.head_count_kv
    8
  • llama.attention.layer_norm_rms_epsilon
    1e-05
  • llama.block_count
    56
  • llama.context_length
    65536
  • llama.embedding_length
    6144
  • llama.expert_count
    8
  • llama.expert_used_count
    2
  • llama.feed_forward_length
    16384
  • llama.rope.dimension_count
    128
  • llama.rope.freq_base
    1e+06
  • llama.vocab_size
    32000
  • 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>, ...]
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    F32
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    Q4_0
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    • blk.48
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    Q8_0
    [6144, 1024]
  • blk.48.attn_norm.weight
    F32
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    Q4_0
    [6144, 6144]
  • blk.48.attn_q.weight
    Q4_0
    [6144, 6144]
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    Q8_0
    [6144, 1024]
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    Q4_0
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  • blk.48.ffn_gate_exps.weight
    Q4_0
    [6144, 16384, 8]
  • blk.48.ffn_gate_inp.weight
    F16
    [6144, 8]
  • blk.48.ffn_norm.weight
    F32
    [6144]
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    Q4_0
    [6144, 16384, 8]
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    Q8_0
    [6144, 1024]
  • blk.49.attn_norm.weight
    F32
    [6144]
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    Q4_0
    [6144, 6144]
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    Q4_0
    [6144, 6144]
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    Q8_0
    [6144, 1024]
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    Q4_0
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    Q4_0
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  • blk.49.ffn_gate_inp.weight
    F16
    [6144, 8]
  • blk.49.ffn_norm.weight
    F32
    [6144]
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    Q4_0
    [6144, 16384, 8]
    • blk.50
  • blk.50.attn_k.weight
    Q8_0
    [6144, 1024]
  • blk.50.attn_norm.weight
    F32
    [6144]
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    Q4_0
    [6144, 6144]
  • blk.50.attn_q.weight
    Q4_0
    [6144, 6144]
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    Q8_0
    [6144, 1024]
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    Q4_0
    [16384, 6144, 8]
  • blk.50.ffn_gate_exps.weight
    Q4_0
    [6144, 16384, 8]
  • blk.50.ffn_gate_inp.weight
    F16
    [6144, 8]
  • blk.50.ffn_norm.weight
    F32
    [6144]
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    Q4_0
    [6144, 16384, 8]
    • blk.51
  • blk.51.attn_k.weight
    Q8_0
    [6144, 1024]
  • blk.51.attn_norm.weight
    F32
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    Q4_0
    [6144, 6144]
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    Q4_0
    [6144, 6144]
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    Q8_0
    [6144, 1024]
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    Q4_0
    [16384, 6144, 8]
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    Q4_0
    [6144, 16384, 8]
  • blk.51.ffn_gate_inp.weight
    F16
    [6144, 8]
  • blk.51.ffn_norm.weight
    F32
    [6144]
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    Q4_0
    [6144, 16384, 8]
    • blk.52
  • blk.52.attn_k.weight
    Q8_0
    [6144, 1024]
  • blk.52.attn_norm.weight
    F32
    [6144]
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    Q4_0
    [6144, 6144]
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    Q4_0
    [6144, 6144]
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    Q8_0
    [6144, 1024]
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    Q4_0
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    Q4_0
    [6144, 16384, 8]
  • blk.52.ffn_gate_inp.weight
    F16
    [6144, 8]
  • blk.52.ffn_norm.weight
    F32
    [6144]
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    Q4_0
    [6144, 16384, 8]
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  • blk.53.attn_k.weight
    Q8_0
    [6144, 1024]
  • blk.53.attn_norm.weight
    F32
    [6144]
  • blk.53.attn_output.weight
    Q4_0
    [6144, 6144]
  • blk.53.attn_q.weight
    Q4_0
    [6144, 6144]
  • blk.53.attn_v.weight
    Q8_0
    [6144, 1024]
  • blk.53.ffn_down_exps.weight
    Q4_0
    [16384, 6144, 8]
  • blk.53.ffn_gate_exps.weight
    Q4_0
    [6144, 16384, 8]
  • blk.53.ffn_gate_inp.weight
    F16
    [6144, 8]
  • blk.53.ffn_norm.weight
    F32
    [6144]
  • blk.53.ffn_up_exps.weight
    Q4_0
    [6144, 16384, 8]
    • blk.54
  • blk.54.attn_k.weight
    Q8_0
    [6144, 1024]
  • blk.54.attn_norm.weight
    F32
    [6144]
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    Q4_0
    [6144, 6144]
  • blk.54.attn_q.weight
    Q4_0
    [6144, 6144]
  • blk.54.attn_v.weight
    Q8_0
    [6144, 1024]
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    Q4_0
    [16384, 6144, 8]
  • blk.54.ffn_gate_exps.weight
    Q4_0
    [6144, 16384, 8]
  • blk.54.ffn_gate_inp.weight
    F16
    [6144, 8]
  • blk.54.ffn_norm.weight
    F32
    [6144]
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    Q4_0
    [6144, 16384, 8]
    • blk.55
  • blk.55.attn_k.weight
    Q8_0
    [6144, 1024]
  • blk.55.attn_norm.weight
    F32
    [6144]
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    Q4_0
    [6144, 6144]
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    Q4_0
    [6144, 6144]
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    Q8_0
    [6144, 1024]
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    Q4_0
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    Q4_0
    [6144, 16384, 8]
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    F16
    [6144, 8]
  • blk.55.ffn_norm.weight
    F32
    [6144]
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    Q4_0
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    Q6_K
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    F32
    [6144]