MichelRosselli/
minimax-m2:tq1_0

175 1 week ago

... /
model
aaf82562594a · 56GB
    Metadata
  • general.architecture
    minimax-m2
  • general.file_type
    IQ1_S
  • minimax-m2.attention.head_count
    48
  • minimax-m2.attention.head_count_kv
    8
  • minimax-m2.attention.key_length
    128
  • minimax-m2.attention.layer_norm_rms_epsilon
    1e-06
  • minimax-m2.attention.value_length
    128
  • minimax-m2.block_count
    62
  • minimax-m2.context_length
    196608
  • minimax-m2.embedding_length
    3072
  • minimax-m2.expert_count
    256
  • minimax-m2.expert_feed_forward_length
    1536
  • minimax-m2.expert_gating_func
    2
  • minimax-m2.expert_used_count
    8
  • minimax-m2.feed_forward_length
    1536
  • minimax-m2.rope.dimension_count
    64
  • minimax-m2.rope.freq_base
    5e+06
  • tokenizer.ggml.add_bos_token
    true
  • tokenizer.ggml.bos_token_id
    200034
  • tokenizer.ggml.eos_token_id
    200020
  • tokenizer.ggml.merges
    [Ġ Ġ, Ġ t, Ġ a, i n, e r, ...]
  • tokenizer.ggml.model
    gpt2
  • tokenizer.ggml.padding_token_id
    200004
  • tokenizer.ggml.pre
    minimax-m2
  • tokenizer.ggml.token_type
    [1, 1, 1, 1, 1, ...]
  • tokenizer.ggml.tokens
    [Ā, ā, Ă, ă, Ą, ...]
  • tokenizer.ggml.unknown_token_id
    200021
  • quantize.imatrix.chunks_count
    697
  • quantize.imatrix.dataset
    unsloth_calibration_MiniMax-M2.txt
  • quantize.imatrix.entries_count
    496
  • quantize.imatrix.file
    MiniMax-M2-GGUF/imatrix_unsloth.gguf
    • Tensor
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    Q4_K
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    IQ3_S
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  • blk.0.attn_k_norm.weight
    F32
    [1024]
  • blk.0.attn_norm.weight
    F32
    [3072]
  • blk.0.attn_output.weight
    Q6_K
    [6144, 3072]
  • blk.0.attn_q.weight
    IQ3_XXS
    [3072, 6144]
  • blk.0.attn_q_norm.weight
    F32
    [6144]
  • blk.0.attn_v.weight
    IQ3_XXS
    [3072, 1024]
  • blk.0.exp_probs_b.bias
    F32
    [256]
  • blk.0.ffn_down_exps.weight
    IQ3_S
    [1536, 3072, 256]
  • blk.0.ffn_gate_exps.weight
    IQ1_S
    [3072, 1536, 256]
  • blk.0.ffn_gate_inp.weight
    F32
    [3072, 256]
  • blk.0.ffn_norm.weight
    F32
    [3072]
  • blk.0.ffn_up_exps.weight
    IQ1_S
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    • blk.1
  • blk.1.attn_k.weight
    IQ3_S
    [3072, 1024]
  • blk.1.attn_k_norm.weight
    F32
    [1024]
  • blk.1.attn_norm.weight
    F32
    [3072]
  • blk.1.attn_output.weight
    Q6_K
    [6144, 3072]
  • blk.1.attn_q.weight
    IQ3_XXS
    [3072, 6144]
  • blk.1.attn_q_norm.weight
    F32
    [6144]
  • blk.1.attn_v.weight
    IQ3_XXS
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  • blk.1.exp_probs_b.bias
    F32
    [256]
  • blk.1.ffn_down_exps.weight
    IQ4_XS
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  • blk.1.ffn_gate_exps.weight
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  • blk.1.ffn_gate_inp.weight
    F32
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    F32
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    IQ1_S
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    F32
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    F32
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    Q6_K
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    IQ3_XXS
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    F32
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    IQ3_XXS
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    F32
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    IQ1_S
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  • blk.2.ffn_gate_inp.weight
    F32
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    F32
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    IQ1_S
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    • blk.3
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    IQ3_S
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  • blk.3.attn_k_norm.weight
    F32
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    F32
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  • blk.3.attn_output.weight
    IQ3_S
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  • blk.3.attn_q.weight
    IQ3_XXS
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    F32
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  • blk.3.exp_probs_b.bias
    F32
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    IQ4_XS
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    IQ1_S
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  • blk.3.ffn_gate_inp.weight
    F32
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    F32
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    IQ1_S
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    F32
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    F32
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  • blk.4.attn_output.weight
    IQ3_S
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  • blk.4.attn_q.weight
    IQ3_XXS
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  • blk.4.attn_q_norm.weight
    F32
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    IQ3_XXS
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  • blk.4.exp_probs_b.bias
    F32
    [256]
  • blk.4.ffn_down_exps.weight
    IQ4_XS
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  • blk.4.ffn_gate_exps.weight
    IQ1_S
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  • blk.4.ffn_gate_inp.weight
    F32
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    IQ1_S
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    • blk.5
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    Q5_K
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    IQ4_XS
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    F32
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    F32
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    F32
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    F32
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    IQ3_S
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    IQ3_XXS
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    F32
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    IQ3_XXS
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  • blk.6.exp_probs_b.bias
    F32
    [256]
  • blk.6.ffn_down_exps.weight
    IQ4_XS
    [1536, 3072, 256]
  • blk.6.ffn_gate_exps.weight
    IQ1_S
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  • blk.6.ffn_gate_inp.weight
    F32
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  • blk.6.ffn_norm.weight
    F32
    [3072]
  • blk.6.ffn_up_exps.weight
    IQ1_S
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    • blk.7
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    IQ3_S
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  • blk.7.attn_k_norm.weight
    F32
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    F32
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    Q6_K
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  • blk.7.attn_q.weight
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    IQ3_XXS
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    F32
    [256]
  • blk.7.ffn_down_exps.weight
    IQ4_XS
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    IQ1_S
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    F32
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    IQ3_S
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    F32
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    IQ3_XXS
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    IQ3_XXS
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  • blk.8.exp_probs_b.bias
    F32
    [256]
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    IQ1_S
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    IQ1_S
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    F32
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    F32
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    IQ3_S
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    F32
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    F32
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    IQ1_S
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    IQ4_XS
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  • blk.57.attn_k_norm.weight
    F32
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    F32
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    IQ4_XS
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  • blk.57.attn_q.weight
    IQ4_XS
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    F32
    [6144]
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    IQ3_S
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    F32
    [256]
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    IQ3_XXS
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  • blk.57.ffn_gate_exps.weight
    IQ2_XXS
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  • blk.57.ffn_gate_inp.weight
    F32
    [3072, 256]
  • blk.57.ffn_norm.weight
    F32
    [3072]
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    IQ2_XXS
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    IQ4_XS
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  • blk.58.attn_k_norm.weight
    F32
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    F32
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    IQ4_XS
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  • blk.58.attn_q.weight
    IQ4_XS
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  • blk.58.attn_q_norm.weight
    F32
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    IQ3_S
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  • blk.58.exp_probs_b.bias
    F32
    [256]
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    IQ3_XXS
    [1536, 3072, 256]
  • blk.58.ffn_gate_exps.weight
    IQ2_XXS
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  • blk.58.ffn_gate_inp.weight
    F32
    [3072, 256]
  • blk.58.ffn_norm.weight
    F32
    [3072]
  • blk.58.ffn_up_exps.weight
    IQ2_XXS
    [3072, 1536, 256]
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    Q5_K
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    F32
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    F32
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    Q5_K
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  • blk.59.attn_q.weight
    Q5_K
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    F32
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    IQ4_XS
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    F32
    [256]
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    IQ4_XS
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    IQ2_XXS
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  • blk.59.ffn_gate_inp.weight
    F32
    [3072, 256]
  • blk.59.ffn_norm.weight
    F32
    [3072]
  • blk.59.ffn_up_exps.weight
    IQ2_XXS
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    Q5_K
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  • blk.60.attn_k_norm.weight
    F32
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  • blk.60.attn_norm.weight
    F32
    [3072]
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    Q5_K
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  • blk.60.attn_q.weight
    Q5_K
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    F32
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    IQ4_XS
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    F32
    [256]
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    IQ4_XS
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    IQ2_XXS
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  • blk.60.ffn_gate_inp.weight
    F32
    [3072, 256]
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    F32
    [3072]
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    IQ2_XXS
    [3072, 1536, 256]
    • blk.61
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    Q5_K
    [3072, 1024]
  • blk.61.attn_k_norm.weight
    F32
    [1024]
  • blk.61.attn_norm.weight
    F32
    [3072]
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    Q5_K
    [6144, 3072]
  • blk.61.attn_q.weight
    Q5_K
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  • blk.61.attn_q_norm.weight
    F32
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    IQ4_XS
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  • blk.61.exp_probs_b.bias
    F32
    [256]
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    IQ4_XS
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  • blk.61.ffn_gate_exps.weight
    IQ2_XXS
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    F32
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  • blk.61.ffn_norm.weight
    F32
    [3072]
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    IQ2_XXS
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    Q6_K
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  • output_norm.weight
    F32
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