CodeQwen1.5 is a large language model pretrained on a large amount of code data.

7b

112.7K 4 months ago

bae63f250f4f · 3.1GB
    Metadata
  • general.architecture
    qwen2
  • general.file_type
    10
  • general.name
    CodeQwen1.5-7B-Chat
  • general.quantization_version
    2
  • qwen2.attention.head_count
    32
  • qwen2.attention.head_count_kv
    4
  • qwen2.attention.layer_norm_rms_epsilon
    1e-05
  • qwen2.block_count
    32
  • qwen2.context_length
    65536
  • qwen2.embedding_length
    4096
  • qwen2.feed_forward_length
    13440
  • qwen2.rope.freq_base
    1e+06
  • tokenizer.ggml.add_bos_token
    false
  • tokenizer.ggml.add_eos_token
    false
  • tokenizer.ggml.bos_token_id
    2
  • tokenizer.ggml.eos_token_id
    4
  • tokenizer.ggml.model
    llama
  • tokenizer.ggml.padding_token_id
    92298
  • tokenizer.ggml.pre
    default
  • tokenizer.ggml.scores
    [0, 0, 0, 0, 0, ...]
  • tokenizer.ggml.token_type
    [2, 3, 3, 3, 3, ...]
  • tokenizer.ggml.tokens
    [<unk>, <s>, <|endoftext|>, <|im_start|>, <|im_end|>, ...]
  • tokenizer.ggml.unknown_token_id
    0
  • Tensor
  • Name
    Type
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    F32
    [4096]
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    Q3_K
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    F32
    [4096]
  • blk.0.attn_q.weight
    Q2_K
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    F32
    [512]
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    Q4_K
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  • blk.0.ffn_norm.weight
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    [4096]
  • blk.0.ffn_up.weight
    Q2_K
    [4096, 13440]
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    [512]
  • blk.1.attn_k.weight
    Q2_K
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  • blk.1.attn_norm.weight
    F32
    [4096]
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    Q3_K
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  • blk.1.attn_q.bias
    F32
    [4096]
  • blk.1.attn_q.weight
    Q2_K
    [4096, 4096]
  • blk.1.attn_v.bias
    F32
    [512]
  • blk.1.attn_v.weight
    Q4_K
    [4096, 512]
  • blk.1.ffn_down.weight
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    [13440, 4096]
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  • blk.1.ffn_norm.weight
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  • blk.2.attn_norm.weight
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    Q3_K
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    Q2_K
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