qwen

Qwen 1.5 is a series of large language models by Alibaba Cloud spanning from 0.5B to 110B parameters

0.5b 1.8b 4b 7b 14b 32b 72b 110b

4.1M 6 months ago

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model
f59086a16e9f · 665MB
    Metadata
  • general.architecture
    qwen2
  • general.file_type
    7
  • general.name
    Qwen2-beta-0_5B-Chat
  • general.quantization_version
    2
  • qwen2.attention.head_count
    16
  • qwen2.attention.head_count_kv
    16
  • qwen2.attention.layer_norm_rms_epsilon
    1e-06
  • qwen2.block_count
    24
  • qwen2.context_length
    32768
  • qwen2.embedding_length
    1024
  • qwen2.feed_forward_length
    2816
  • qwen2.use_parallel_residual
    true
  • tokenizer.ggml.bos_token_id
    151643
  • tokenizer.ggml.eos_token_id
    151643
  • 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.token_type
    [1, 1, 1, 1, 1, ...]
  • tokenizer.ggml.tokens
    [!, ", #, $, %, ...]
    • Tensor
  • Name
    Type
    Shape
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    Q8_0
    [1024, 151936]
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    F32
    [1024]
  • blk.0.attn_k.weight
    Q8_0
    [1024, 1024]
  • blk.0.attn_norm.weight
    F32
    [1024]
  • blk.0.attn_output.weight
    Q8_0
    [1024, 1024]
  • blk.0.attn_q.bias
    F32
    [1024]
  • blk.0.attn_q.weight
    Q8_0
    [1024, 1024]
  • blk.0.attn_v.bias
    F32
    [1024]
  • blk.0.attn_v.weight
    Q8_0
    [1024, 1024]
  • blk.0.ffn_down.weight
    Q8_0
    [2816, 1024]
  • blk.0.ffn_gate.weight
    Q8_0
    [1024, 2816]
  • blk.0.ffn_norm.weight
    F32
    [1024]
  • blk.0.ffn_up.weight
    Q8_0
    [1024, 2816]
    • blk.1
  • blk.1.attn_k.bias
    F32
    [1024]
  • blk.1.attn_k.weight
    Q8_0
    [1024, 1024]
  • blk.1.attn_norm.weight
    F32
    [1024]
  • blk.1.attn_output.weight
    Q8_0
    [1024, 1024]
  • blk.1.attn_q.bias
    F32
    [1024]
  • blk.1.attn_q.weight
    Q8_0
    [1024, 1024]
  • blk.1.attn_v.bias
    F32
    [1024]
  • blk.1.attn_v.weight
    Q8_0
    [1024, 1024]
  • blk.1.ffn_down.weight
    Q8_0
    [2816, 1024]
  • blk.1.ffn_gate.weight
    Q8_0
    [1024, 2816]
  • blk.1.ffn_norm.weight
    F32
    [1024]
  • blk.1.ffn_up.weight
    Q8_0
    [1024, 2816]
    • blk.2
  • blk.2.attn_k.bias
    F32
    [1024]
  • blk.2.attn_k.weight
    Q8_0
    [1024, 1024]
  • blk.2.attn_norm.weight
    F32
    [1024]
  • blk.2.attn_output.weight
    Q8_0
    [1024, 1024]
  • blk.2.attn_q.bias
    F32
    [1024]
  • blk.2.attn_q.weight
    Q8_0
    [1024, 1024]
  • blk.2.attn_v.bias
    F32
    [1024]
  • blk.2.attn_v.weight
    Q8_0
    [1024, 1024]
  • blk.2.ffn_down.weight
    Q8_0
    [2816, 1024]
  • blk.2.ffn_gate.weight
    Q8_0
    [1024, 2816]
  • blk.2.ffn_norm.weight
    F32
    [1024]
  • blk.2.ffn_up.weight
    Q8_0
    [1024, 2816]
    • blk.3
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    F32
    [1024]
  • blk.3.attn_k.weight
    Q8_0
    [1024, 1024]
  • blk.3.attn_norm.weight
    F32
    [1024]
  • blk.3.attn_output.weight
    Q8_0
    [1024, 1024]
  • blk.3.attn_q.bias
    F32
    [1024]
  • blk.3.attn_q.weight
    Q8_0
    [1024, 1024]
  • blk.3.attn_v.bias
    F32
    [1024]
  • blk.3.attn_v.weight
    Q8_0
    [1024, 1024]
  • blk.3.ffn_down.weight
    Q8_0
    [2816, 1024]
  • blk.3.ffn_gate.weight
    Q8_0
    [1024, 2816]
  • blk.3.ffn_norm.weight
    F32
    [1024]
  • blk.3.ffn_up.weight
    Q8_0
    [1024, 2816]
    • blk.4
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    F32
    [1024]
  • blk.4.attn_k.weight
    Q8_0
    [1024, 1024]
  • blk.4.attn_norm.weight
    F32
    [1024]
  • blk.4.attn_output.weight
    Q8_0
    [1024, 1024]
  • blk.4.attn_q.bias
    F32
    [1024]
  • blk.4.attn_q.weight
    Q8_0
    [1024, 1024]
  • blk.4.attn_v.bias
    F32
    [1024]
  • blk.4.attn_v.weight
    Q8_0
    [1024, 1024]
  • blk.4.ffn_down.weight
    Q8_0
    [2816, 1024]
  • blk.4.ffn_gate.weight
    Q8_0
    [1024, 2816]
  • blk.4.ffn_norm.weight
    F32
    [1024]
  • blk.4.ffn_up.weight
    Q8_0
    [1024, 2816]
    • blk.5
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    F32
    [1024]
  • blk.5.attn_k.weight
    Q8_0
    [1024, 1024]
  • blk.5.attn_norm.weight
    F32
    [1024]
  • blk.5.attn_output.weight
    Q8_0
    [1024, 1024]
  • blk.5.attn_q.bias
    F32
    [1024]
  • blk.5.attn_q.weight
    Q8_0
    [1024, 1024]
  • blk.5.attn_v.bias
    F32
    [1024]
  • blk.5.attn_v.weight
    Q8_0
    [1024, 1024]
  • blk.5.ffn_down.weight
    Q8_0
    [2816, 1024]
  • blk.5.ffn_gate.weight
    Q8_0
    [1024, 2816]
  • blk.5.ffn_norm.weight
    F32
    [1024]
  • blk.5.ffn_up.weight
    Q8_0
    [1024, 2816]
    • blk.6
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    F32
    [1024]
  • blk.6.attn_k.weight
    Q8_0
    [1024, 1024]
  • blk.6.attn_norm.weight
    F32
    [1024]
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    Q8_0
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    F32
    [1024]
  • blk.6.attn_q.weight
    Q8_0
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  • blk.6.attn_v.bias
    F32
    [1024]
  • blk.6.attn_v.weight
    Q8_0
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    Q8_0
    [2816, 1024]
  • blk.6.ffn_gate.weight
    Q8_0
    [1024, 2816]
  • blk.6.ffn_norm.weight
    F32
    [1024]
  • blk.6.ffn_up.weight
    Q8_0
    [1024, 2816]
    • blk.7
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    F32
    [1024]
  • blk.7.attn_k.weight
    Q8_0
    [1024, 1024]
  • blk.7.attn_norm.weight
    F32
    [1024]
  • blk.7.attn_output.weight
    Q8_0
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  • blk.7.attn_q.bias
    F32
    [1024]
  • blk.7.attn_q.weight
    Q8_0
    [1024, 1024]
  • blk.7.attn_v.bias
    F32
    [1024]
  • blk.7.attn_v.weight
    Q8_0
    [1024, 1024]
  • blk.7.ffn_down.weight
    Q8_0
    [2816, 1024]
  • blk.7.ffn_gate.weight
    Q8_0
    [1024, 2816]
  • blk.7.ffn_norm.weight
    F32
    [1024]
  • blk.7.ffn_up.weight
    Q8_0
    [1024, 2816]
    • blk.8
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    F32
    [1024]
  • blk.8.attn_k.weight
    Q8_0
    [1024, 1024]
  • blk.8.attn_norm.weight
    F32
    [1024]
  • blk.8.attn_output.weight
    Q8_0
    [1024, 1024]
  • blk.8.attn_q.bias
    F32
    [1024]
  • blk.8.attn_q.weight
    Q8_0
    [1024, 1024]
  • blk.8.attn_v.bias
    F32
    [1024]
  • blk.8.attn_v.weight
    Q8_0
    [1024, 1024]
  • blk.8.ffn_down.weight
    Q8_0
    [2816, 1024]
  • blk.8.ffn_gate.weight
    Q8_0
    [1024, 2816]
  • blk.8.ffn_norm.weight
    F32
    [1024]
  • blk.8.ffn_up.weight
    Q8_0
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    F32
    [1024]
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    Q8_0
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  • blk.9.attn_norm.weight
    F32
    [1024]
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    Q8_0
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    F32
    [1024]
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    Q8_0
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    F32
    [1024]
  • blk.9.attn_v.weight
    Q8_0
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    Q8_0
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    Q8_0
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  • blk.9.ffn_norm.weight
    F32
    [1024]
  • blk.9.ffn_up.weight
    Q8_0
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    F32
    [1024]
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    Q8_0
    [1024, 1024]
  • blk.10.attn_norm.weight
    F32
    [1024]
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    Q8_0
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    F32
    [1024]
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    Q8_0
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    F32
    [1024]
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    Q8_0
    [1024, 1024]
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    Q8_0
    [2816, 1024]
  • blk.10.ffn_gate.weight
    Q8_0
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  • blk.10.ffn_norm.weight
    F32
    [1024]
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    Q8_0
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    F32
    [1024]
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    Q8_0
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    F32
    [1024]
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    Q8_0
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    F32
    [1024]
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    Q8_0
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  • blk.11.attn_v.bias
    F32
    [1024]
  • blk.11.attn_v.weight
    Q8_0
    [1024, 1024]
  • blk.11.ffn_down.weight
    Q8_0
    [2816, 1024]
  • blk.11.ffn_gate.weight
    Q8_0
    [1024, 2816]
  • blk.11.ffn_norm.weight
    F32
    [1024]
  • blk.11.ffn_up.weight
    Q8_0
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    • blk.12
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    F32
    [1024]
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    Q8_0
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  • blk.12.attn_norm.weight
    F32
    [1024]
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    Q8_0
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    F32
    [1024]
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    Q8_0
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    F32
    [1024]
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    Q8_0
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    Q8_0
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    Q8_0
    [1024, 2816]
  • blk.21.ffn_norm.weight
    F32
    [1024]
  • blk.21.ffn_up.weight
    Q8_0
    [1024, 2816]
    • blk.22
  • blk.22.attn_k.bias
    F32
    [1024]
  • blk.22.attn_k.weight
    Q8_0
    [1024, 1024]
  • blk.22.attn_norm.weight
    F32
    [1024]
  • blk.22.attn_output.weight
    Q8_0
    [1024, 1024]
  • blk.22.attn_q.bias
    F32
    [1024]
  • blk.22.attn_q.weight
    Q8_0
    [1024, 1024]
  • blk.22.attn_v.bias
    F32
    [1024]
  • blk.22.attn_v.weight
    Q8_0
    [1024, 1024]
  • blk.22.ffn_down.weight
    Q8_0
    [2816, 1024]
  • blk.22.ffn_gate.weight
    Q8_0
    [1024, 2816]
  • blk.22.ffn_norm.weight
    F32
    [1024]
  • blk.22.ffn_up.weight
    Q8_0
    [1024, 2816]
    • blk.23
  • blk.23.attn_k.bias
    F32
    [1024]
  • blk.23.attn_k.weight
    Q8_0
    [1024, 1024]
  • blk.23.attn_norm.weight
    F32
    [1024]
  • blk.23.attn_output.weight
    Q8_0
    [1024, 1024]
  • blk.23.attn_q.bias
    F32
    [1024]
  • blk.23.attn_q.weight
    Q8_0
    [1024, 1024]
  • blk.23.attn_v.bias
    F32
    [1024]
  • blk.23.attn_v.weight
    Q8_0
    [1024, 1024]
  • blk.23.ffn_down.weight
    Q8_0
    [2816, 1024]
  • blk.23.ffn_gate.weight
    Q8_0
    [1024, 2816]
  • blk.23.ffn_norm.weight
    F32
    [1024]
  • blk.23.ffn_up.weight
    Q8_0
    [1024, 2816]
  • output.weight
    Q8_0
    [1024, 151936]
  • output_norm.weight
    F32
    [1024]