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 Pulls Updated 6 months ago
c71b110833b2 · 36GB
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general.architectureqwen2
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general.file_type12
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general.nameQwen2-beta-72B-Chat
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general.quantization_version2
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qwen2.attention.head_count64
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qwen2.attention.head_count_kv64
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qwen2.attention.layer_norm_rms_epsilon1e-06
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qwen2.block_count80
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qwen2.context_length32768
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qwen2.embedding_length8192
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qwen2.feed_forward_length24576
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qwen2.use_parallel_residualtrue
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tokenizer.ggml.bos_token_id151643
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tokenizer.ggml.eos_token_id151643
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tokenizer.ggml.merges[Ġ Ġ, ĠĠ ĠĠ, i n, Ġ t, ĠĠĠĠ ĠĠĠĠ, ...]
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tokenizer.ggml.modelgpt2
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tokenizer.ggml.padding_token_id151643
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tokenizer.ggml.token_type[1, 1, 1, 1, 1, ...]
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tokenizer.ggml.tokens[!, ", #, $, %, ...]
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NameTypeShape
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blk.56.attn_q.biasF32[8192]
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blk.56.ffn_norm.weightF32[8192]
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blk.57.attn_q.biasF32[8192]
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blk.58.attn_norm.weightF32[8192]
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blk.61.attn_q.biasF32[8192]
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blk.61.ffn_norm.weightF32[8192]
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blk.62.attn_k.weightQ3_K[8192, 8192]
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blk.62.attn_norm.weightF32[8192]
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blk.62.ffn_norm.weightF32[8192]
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blk.63.attn_k.weightQ3_K[8192, 8192]
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blk.63.attn_norm.weightF32[8192]
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blk.63.attn_output.weightQ4_K[8192, 8192]
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blk.63.attn_q.biasF32[8192]
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blk.63.attn_q.weightQ3_K[8192, 8192]
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blk.63.attn_v.biasF32[8192]
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blk.63.attn_v.weightQ5_K[8192, 8192]
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blk.63.ffn_down.weightQ4_K[24576, 8192]
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blk.63.ffn_gate.weightQ3_K[8192, 24576]
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blk.63.ffn_norm.weightF32[8192]
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blk.63.ffn_up.weightQ3_K[8192, 24576]
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blk.64.attn_k.biasF32[8192]
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blk.64.attn_k.weightQ3_K[8192, 8192]
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blk.64.attn_norm.weightF32[8192]
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blk.64.attn_output.weightQ4_K[8192, 8192]
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blk.64.attn_q.biasF32[8192]
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blk.64.attn_q.weightQ3_K[8192, 8192]
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blk.64.attn_v.biasF32[8192]
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blk.64.attn_v.weightQ5_K[8192, 8192]
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blk.64.ffn_down.weightQ4_K[24576, 8192]
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blk.64.ffn_gate.weightQ3_K[8192, 24576]
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blk.64.ffn_norm.weightF32[8192]
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blk.64.ffn_up.weightQ3_K[8192, 24576]
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blk.65.attn_k.biasF32[8192]
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blk.65.attn_k.weightQ3_K[8192, 8192]
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blk.65.attn_norm.weightF32[8192]
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blk.65.attn_output.weightQ4_K[8192, 8192]
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blk.65.attn_q.biasF32[8192]
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blk.65.attn_q.weightQ3_K[8192, 8192]
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blk.65.attn_v.biasF32[8192]
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blk.65.attn_v.weightQ5_K[8192, 8192]
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blk.65.ffn_gate.weightQ3_K[8192, 24576]
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blk.65.ffn_norm.weightF32[8192]
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blk.65.ffn_up.weightQ3_K[8192, 24576]
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blk.66.attn_k.weightQ3_K[8192, 8192]
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blk.66.attn_norm.weightF32[8192]
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blk.66.attn_output.weightQ4_K[8192, 8192]
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blk.66.attn_q.biasF32[8192]
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blk.66.attn_q.weightQ3_K[8192, 8192]
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blk.66.attn_v.biasF32[8192]
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blk.66.attn_v.weightQ5_K[8192, 8192]
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blk.66.ffn_norm.weightF32[8192]
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blk.67.attn_k.weightQ3_K[8192, 8192]
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blk.67.attn_norm.weightF32[8192]
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blk.67.attn_q.biasF32[8192]
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blk.67.attn_q.weightQ3_K[8192, 8192]
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blk.67.attn_v.biasF32[8192]
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blk.67.ffn_gate.weightQ3_K[8192, 24576]
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blk.67.ffn_norm.weightF32[8192]
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blk.68.attn_k.weightQ3_K[8192, 8192]
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blk.68.attn_norm.weightF32[8192]
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blk.68.attn_q.biasF32[8192]
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blk.68.attn_q.weightQ3_K[8192, 8192]
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blk.68.attn_v.biasF32[8192]
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blk.68.attn_v.weightQ5_K[8192, 8192]
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blk.68.ffn_down.weightQ4_K[24576, 8192]
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blk.68.ffn_gate.weightQ3_K[8192, 24576]
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blk.68.ffn_norm.weightF32[8192]
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blk.68.ffn_up.weightQ3_K[8192, 24576]
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blk.69.attn_k.biasF32[8192]
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blk.69.attn_k.weightQ3_K[8192, 8192]
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blk.69.attn_norm.weightF32[8192]
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blk.69.attn_q.biasF32[8192]
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blk.69.attn_v.biasF32[8192]
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blk.69.attn_v.weightQ5_K[8192, 8192]
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blk.69.ffn_down.weightQ4_K[24576, 8192]
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blk.69.ffn_gate.weightQ3_K[8192, 24576]
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blk.69.ffn_norm.weightF32[8192]
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blk.69.ffn_up.weightQ3_K[8192, 24576]
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blk.70.attn_k.biasF32[8192]
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blk.70.attn_k.weightQ3_K[8192, 8192]
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blk.70.attn_norm.weightF32[8192]
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blk.70.attn_output.weightQ4_K[8192, 8192]
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blk.70.attn_q.biasF32[8192]
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blk.70.attn_q.weightQ3_K[8192, 8192]
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blk.70.attn_v.biasF32[8192]
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blk.70.attn_v.weightQ5_K[8192, 8192]
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blk.70.ffn_down.weightQ4_K[24576, 8192]
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blk.70.ffn_gate.weightQ3_K[8192, 24576]
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blk.70.ffn_norm.weightF32[8192]
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blk.70.ffn_up.weightQ3_K[8192, 24576]
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blk.71.attn_k.weightQ3_K[8192, 8192]
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blk.71.attn_norm.weightF32[8192]
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blk.71.attn_output.weightQ4_K[8192, 8192]
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blk.71.attn_q.biasF32[8192]
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blk.71.attn_q.weightQ3_K[8192, 8192]
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blk.71.attn_v.biasF32[8192]
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blk.71.attn_v.weightQ5_K[8192, 8192]
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blk.71.ffn_down.weightQ4_K[24576, 8192]
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blk.71.ffn_norm.weightF32[8192]
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blk.71.ffn_up.weightQ3_K[8192, 24576]
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blk.72.attn_norm.weightF32[8192]
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blk.72.attn_q.biasF32[8192]
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blk.72.attn_v.biasF32[8192]
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blk.72.ffn_norm.weightF32[8192]
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blk.72.ffn_up.weightQ3_K[8192, 24576]
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blk.73.attn_k.biasF32[8192]
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blk.73.attn_k.weightQ3_K[8192, 8192]
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blk.73.attn_norm.weightF32[8192]
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blk.73.attn_q.biasF32[8192]
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blk.73.attn_q.weightQ3_K[8192, 8192]
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blk.73.attn_v.biasF32[8192]
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blk.73.attn_v.weightQ5_K[8192, 8192]
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blk.73.ffn_down.weightQ4_K[24576, 8192]
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blk.73.ffn_norm.weightF32[8192]
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blk.74.attn_k.weightQ3_K[8192, 8192]
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blk.74.attn_norm.weightF32[8192]
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blk.74.attn_q.biasF32[8192]
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blk.74.ffn_norm.weightF32[8192]
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blk.75.attn_norm.weightF32[8192]
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blk.75.attn_q.biasF32[8192]
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blk.75.attn_v.biasF32[8192]
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blk.75.ffn_norm.weightF32[8192]
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blk.79.ffn_norm.weightF32[8192]
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output_norm.weightF32[8192]
Metadata
Tensor
blk.0
blk.1
blk.2
blk.3
blk.4
blk.5
blk.6
blk.7
blk.8
blk.9
blk.10
blk.11
blk.12
blk.13
blk.14
blk.15
blk.16
blk.17
blk.18
blk.19
blk.20
blk.21
blk.22
blk.23
blk.24
blk.25
blk.26
blk.27
blk.28
blk.29
blk.30
blk.31
blk.32
blk.33
blk.34
blk.35
blk.36
blk.37
blk.38
blk.39
blk.40
blk.41
blk.42
blk.43
blk.44
blk.45
blk.46
blk.47
blk.48
blk.49
blk.50
blk.51
blk.52
blk.53
blk.54
blk.55
blk.56
blk.57
blk.58
blk.59
blk.60
blk.61
blk.62
blk.63
blk.64
blk.65
blk.66
blk.67
blk.68
blk.69
blk.70
blk.71
blk.72
blk.73
blk.74
blk.75
blk.76
blk.77
blk.78
blk.79