qwen2-math

Qwen2 Math is a series of specialized math language models built upon the Qwen2 LLMs, which significantly outperforms the mathematical capabilities of open-source models and even closed-source models (e.g., GPT4o).

1.5b 7b 72b

107.7K 3 months ago

52 Tags
... /
model
774ffb823dae · 3.1GB
    Metadata
  • general.architecture
    qwen2
  • general.basename
    Qwen2-Math
  • general.file_type
    1
  • general.finetune
    Instruct
  • general.languages
    [en]
  • general.license
    apache-2.0
  • general.name
    Qwen2 Math 1.5B Instruct
  • general.quantization_version
    2
  • general.size_label
    1.5B
  • general.tags
    [chat, text-generation]
  • general.type
    model
  • qwen2.attention.head_count
    12
  • qwen2.attention.head_count_kv
    2
  • qwen2.attention.layer_norm_rms_epsilon
    1e-06
  • qwen2.block_count
    28
  • qwen2.context_length
    4096
  • qwen2.embedding_length
    1536
  • qwen2.feed_forward_length
    8960
  • qwen2.rope.freq_base
    10000
  • tokenizer.ggml.bos_token_id
    151643
  • tokenizer.ggml.eos_token_id
    151645
  • tokenizer.ggml.merges
    [Ġ Ġ, ĠĠ ĠĠ, i n, Ġ t, ĠĠĠĠ ĠĠĠĠ, ...]
  • tokenizer.ggml.model
    gpt2
  • tokenizer.ggml.padding_token_id
    151643
  • tokenizer.ggml.pre
    qwen2
  • tokenizer.ggml.token_type
    [1, 1, 1, 1, 1, ...]
  • tokenizer.ggml.tokens
    [!, ", #, $, %, ...]
    • Tensor
  • Name
    Type
    Shape
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    F16
    [1536, 151936]
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    F32
    [256]
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    F16
    [1536, 256]
  • blk.0.attn_norm.weight
    F32
    [1536]
  • blk.0.attn_output.weight
    F16
    [1536, 1536]
  • blk.0.attn_q.bias
    F32
    [1536]
  • blk.0.attn_q.weight
    F16
    [1536, 1536]
  • blk.0.attn_v.bias
    F32
    [256]
  • blk.0.attn_v.weight
    F16
    [1536, 256]
  • blk.0.ffn_down.weight
    F16
    [8960, 1536]
  • blk.0.ffn_gate.weight
    F16
    [1536, 8960]
  • blk.0.ffn_norm.weight
    F32
    [1536]
  • blk.0.ffn_up.weight
    F16
    [1536, 8960]
    • blk.1
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    F32
    [256]
  • blk.1.attn_k.weight
    F16
    [1536, 256]
  • blk.1.attn_norm.weight
    F32
    [1536]
  • blk.1.attn_output.weight
    F16
    [1536, 1536]
  • blk.1.attn_q.bias
    F32
    [1536]
  • blk.1.attn_q.weight
    F16
    [1536, 1536]
  • blk.1.attn_v.bias
    F32
    [256]
  • blk.1.attn_v.weight
    F16
    [1536, 256]
  • blk.1.ffn_down.weight
    F16
    [8960, 1536]
  • blk.1.ffn_gate.weight
    F16
    [1536, 8960]
  • blk.1.ffn_norm.weight
    F32
    [1536]
  • blk.1.ffn_up.weight
    F16
    [1536, 8960]
    • blk.2
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    F32
    [256]
  • blk.2.attn_k.weight
    F16
    [1536, 256]
  • blk.2.attn_norm.weight
    F32
    [1536]
  • blk.2.attn_output.weight
    F16
    [1536, 1536]
  • blk.2.attn_q.bias
    F32
    [1536]
  • blk.2.attn_q.weight
    F16
    [1536, 1536]
  • blk.2.attn_v.bias
    F32
    [256]
  • blk.2.attn_v.weight
    F16
    [1536, 256]
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    F16
    [8960, 1536]
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    F16
    [1536, 8960]
  • blk.2.ffn_norm.weight
    F32
    [1536]
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    F16
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    F32
    [256]
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    F16
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  • blk.3.attn_norm.weight
    F32
    [1536]
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    F16
    [1536, 1536]
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    F32
    [1536]
  • blk.3.attn_q.weight
    F16
    [1536, 1536]
  • blk.3.attn_v.bias
    F32
    [256]
  • blk.3.attn_v.weight
    F16
    [1536, 256]
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    F16
    [8960, 1536]
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    F16
    [1536, 8960]
  • blk.3.ffn_norm.weight
    F32
    [1536]
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    F16
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    F32
    [256]
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    F16
    [1536, 256]
  • blk.4.attn_norm.weight
    F32
    [1536]
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    F16
    [1536, 1536]
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    F32
    [1536]
  • blk.4.attn_q.weight
    F16
    [1536, 1536]
  • blk.4.attn_v.bias
    F32
    [256]
  • blk.4.attn_v.weight
    F16
    [1536, 256]
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    F16
    [8960, 1536]
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    F16
    [1536, 8960]
  • blk.4.ffn_norm.weight
    F32
    [1536]
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    F16
    [1536, 8960]
    • blk.5
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    F32
    [256]
  • blk.5.attn_k.weight
    F16
    [1536, 256]
  • blk.5.attn_norm.weight
    F32
    [1536]
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    F16
    [1536, 1536]
  • blk.5.attn_q.bias
    F32
    [1536]
  • blk.5.attn_q.weight
    F16
    [1536, 1536]
  • blk.5.attn_v.bias
    F32
    [256]
  • blk.5.attn_v.weight
    F16
    [1536, 256]
  • blk.5.ffn_down.weight
    F16
    [8960, 1536]
  • blk.5.ffn_gate.weight
    F16
    [1536, 8960]
  • blk.5.ffn_norm.weight
    F32
    [1536]
  • blk.5.ffn_up.weight
    F16
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    • blk.6
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    F32
    [256]
  • blk.6.attn_k.weight
    F16
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  • blk.6.attn_norm.weight
    F32
    [1536]
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    F16
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    F32
    [1536]
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    F16
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    F32
    [256]
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    F16
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    F16
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    F16
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    F32
    [1536]
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    F16
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    F32
    [256]
  • blk.7.attn_k.weight
    F16
    [1536, 256]
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    F32
    [1536]
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    F16
    [1536, 1536]
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    F32
    [1536]
  • blk.7.attn_q.weight
    F16
    [1536, 1536]
  • blk.7.attn_v.bias
    F32
    [256]
  • blk.7.attn_v.weight
    F16
    [1536, 256]
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    F16
    [8960, 1536]
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    F16
    [1536, 8960]
  • blk.7.ffn_norm.weight
    F32
    [1536]
  • blk.7.ffn_up.weight
    F16
    [1536, 8960]
    • blk.8
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    F32
    [256]
  • blk.8.attn_k.weight
    F16
    [1536, 256]
  • blk.8.attn_norm.weight
    F32
    [1536]
  • blk.8.attn_output.weight
    F16
    [1536, 1536]
  • blk.8.attn_q.bias
    F32
    [1536]
  • blk.8.attn_q.weight
    F16
    [1536, 1536]
  • blk.8.attn_v.bias
    F32
    [256]
  • blk.8.attn_v.weight
    F16
    [1536, 256]
  • blk.8.ffn_down.weight
    F16
    [8960, 1536]
  • blk.8.ffn_gate.weight
    F16
    [1536, 8960]
  • blk.8.ffn_norm.weight
    F32
    [1536]
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    F16
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    • blk.9
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    F32
    [256]
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    F16
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    F32
    [1536]
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    F16
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    F32
    [1536]
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    F16
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    F32
    [256]
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    F16
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    F16
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    F16
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    F32
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    F16
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    F32
    [256]
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    F16
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    F32
    [1536]
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    F16
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    F32
    [1536]
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    F16
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    F32
    [256]
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    F16
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    F16
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    F16
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    F32
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    F16
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    F32
    [256]
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    F16
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    F32
    [1536]
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    F16
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    F32
    [1536]
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    F16
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    F32
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    F16
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    F16
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    F16
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    F32
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    F16
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    F32
    [256]
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    F16
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    F32
    [1536]
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    F16
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    F32
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    F16
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    F32
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    F16
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    F16
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    F32
    [256]
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