command-r-plus

Command R+ is a powerful, scalable large language model purpose-built to excel at real-world enterprise use cases.

tools 104b

103.8K 2 months ago

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model
9feeffd688b9 · 39GB
    Metadata
  • command-r.attention.head_count
    96
  • command-r.attention.head_count_kv
    8
  • command-r.attention.layer_norm_epsilon
    1e-05
  • command-r.block_count
    64
  • command-r.context_length
    131072
  • command-r.embedding_length
    12288
  • command-r.feed_forward_length
    33792
  • command-r.logit_scale
    0.8333333
  • command-r.rope.freq_base
    7.5e+07
  • command-r.rope.scaling.type
    none
  • general.architecture
    command-r
  • general.file_type
    10
  • general.name
    c4ai-command-r-plus
  • general.quantization_version
    2
  • tokenizer.ggml.add_bos_token
    true
  • tokenizer.ggml.add_eos_token
    false
  • tokenizer.ggml.bos_token_id
    5
  • tokenizer.ggml.eos_token_id
    255001
  • tokenizer.ggml.merges
    [Ġ Ġ, Ġ t, e r, i n, Ġ a, ...]
  • tokenizer.ggml.model
    gpt2
  • tokenizer.ggml.padding_token_id
    0
  • tokenizer.ggml.token_type
    [3, 3, 3, 3, 3, ...]
  • tokenizer.ggml.tokens
    [<PAD>, <UNK>, <CLS>, <SEP>, <MASK_TOKEN>, ...]
    • Tensor
  • Name
    Type
    Shape
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    Q6_K
    [12288, 256000]
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  • blk.0.attn_k.weight
    Q2_K
    [12288, 1024]
  • blk.0.attn_k_norm.weight
    F32
    [128, 8]
  • blk.0.attn_norm.weight
    F32
    [12288]
  • blk.0.attn_output.weight
    Q3_K
    [12288, 12288]
  • blk.0.attn_q.weight
    Q2_K
    [12288, 12288]
  • blk.0.attn_q_norm.weight
    F32
    [128, 96]
  • blk.0.attn_v.weight
    Q4_K
    [12288, 1024]
  • blk.0.ffn_down.weight
    Q3_K
    [33792, 12288]
  • blk.0.ffn_gate.weight
    Q2_K
    [12288, 33792]
  • blk.0.ffn_up.weight
    Q2_K
    [12288, 33792]
    • blk.1
  • blk.1.attn_k.weight
    Q2_K
    [12288, 1024]
  • blk.1.attn_k_norm.weight
    F32
    [128, 8]
  • blk.1.attn_norm.weight
    F32
    [12288]
  • blk.1.attn_output.weight
    Q3_K
    [12288, 12288]
  • blk.1.attn_q.weight
    Q2_K
    [12288, 12288]
  • blk.1.attn_q_norm.weight
    F32
    [128, 96]
  • blk.1.attn_v.weight
    Q4_K
    [12288, 1024]
  • blk.1.ffn_down.weight
    Q3_K
    [33792, 12288]
  • blk.1.ffn_gate.weight
    Q2_K
    [12288, 33792]
  • blk.1.ffn_up.weight
    Q2_K
    [12288, 33792]
    • blk.2
  • blk.2.attn_k.weight
    Q2_K
    [12288, 1024]
  • blk.2.attn_k_norm.weight
    F32
    [128, 8]
  • blk.2.attn_norm.weight
    F32
    [12288]
  • blk.2.attn_output.weight
    Q3_K
    [12288, 12288]
  • blk.2.attn_q.weight
    Q2_K
    [12288, 12288]
  • blk.2.attn_q_norm.weight
    F32
    [128, 96]
  • blk.2.attn_v.weight
    Q4_K
    [12288, 1024]
  • blk.2.ffn_down.weight
    Q3_K
    [33792, 12288]
  • blk.2.ffn_gate.weight
    Q2_K
    [12288, 33792]
  • blk.2.ffn_up.weight
    Q2_K
    [12288, 33792]
    • blk.3
  • blk.3.attn_k.weight
    Q2_K
    [12288, 1024]
  • blk.3.attn_k_norm.weight
    F32
    [128, 8]
  • blk.3.attn_norm.weight
    F32
    [12288]
  • blk.3.attn_output.weight
    Q3_K
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  • blk.3.attn_q.weight
    Q2_K
    [12288, 12288]
  • blk.3.attn_q_norm.weight
    F32
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  • blk.3.attn_v.weight
    Q4_K
    [12288, 1024]
  • blk.3.ffn_down.weight
    Q3_K
    [33792, 12288]
  • blk.3.ffn_gate.weight
    Q2_K
    [12288, 33792]
  • blk.3.ffn_up.weight
    Q2_K
    [12288, 33792]
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    Q2_K
    [12288, 1024]
  • blk.4.attn_k_norm.weight
    F32
    [128, 8]
  • blk.4.attn_norm.weight
    F32
    [12288]
  • blk.4.attn_output.weight
    Q3_K
    [12288, 12288]
  • blk.4.attn_q.weight
    Q2_K
    [12288, 12288]
  • blk.4.attn_q_norm.weight
    F32
    [128, 96]
  • blk.4.attn_v.weight
    Q4_K
    [12288, 1024]
  • blk.4.ffn_down.weight
    Q3_K
    [33792, 12288]
  • blk.4.ffn_gate.weight
    Q2_K
    [12288, 33792]
  • blk.4.ffn_up.weight
    Q2_K
    [12288, 33792]
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    Q2_K
    [12288, 1024]
  • blk.5.attn_k_norm.weight
    F32
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  • blk.5.attn_norm.weight
    F32
    [12288]
  • blk.5.attn_output.weight
    Q3_K
    [12288, 12288]
  • blk.5.attn_q.weight
    Q2_K
    [12288, 12288]
  • blk.5.attn_q_norm.weight
    F32
    [128, 96]
  • blk.5.attn_v.weight
    Q4_K
    [12288, 1024]
  • blk.5.ffn_down.weight
    Q3_K
    [33792, 12288]
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    Q2_K
    [12288, 33792]
  • blk.5.ffn_up.weight
    Q2_K
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    • blk.6
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    Q2_K
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  • blk.6.attn_k_norm.weight
    F32
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    F32
    [12288]
  • blk.6.attn_output.weight
    Q3_K
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  • blk.6.attn_q.weight
    Q2_K
    [12288, 12288]
  • blk.6.attn_q_norm.weight
    F32
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    Q4_K
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    Q3_K
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    Q2_K
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    F32
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    Q4_K
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    Q3_K
    [33792, 12288]
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    Q2_K
    [12288, 33792]
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    Q2_K
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    Q2_K
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    F32
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    F32
    [12288]
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    Q3_K
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  • blk.8.attn_q.weight
    Q2_K
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  • blk.8.attn_q_norm.weight
    F32
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  • blk.8.attn_v.weight
    Q4_K
    [12288, 1024]
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    Q3_K
    [33792, 12288]
  • blk.8.ffn_gate.weight
    Q2_K
    [12288, 33792]
  • blk.8.ffn_up.weight
    Q2_K
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    Q2_K
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    F32
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    F32
    [12288]
  • blk.9.attn_output.weight
    Q3_K
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    Q2_K
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  • blk.9.attn_q_norm.weight
    F32
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  • blk.9.attn_v.weight
    Q4_K
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    Q3_K
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    Q2_K
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    Q2_K
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    Q2_K
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    F32
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    F32
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    Q3_K
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    Q2_K
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    F32
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    Q4_K
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    Q3_K
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    F32
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    F32
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    Q3_K
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    F32
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    Q4_K
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    Q3_K
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    Q2_K
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    Q2_K
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    Q2_K
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    F32
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    F32
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    Q2_K
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    F32
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    Q4_K
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    Q3_K
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