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
4.2M Pulls Updated 8 months ago
7cd118fc0df1 · 17GB
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general.architectureqwen2
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general.file_type13
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general.nameQwen1.5-32B-Chat
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general.quantization_version2
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qwen2.attention.head_count40
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qwen2.attention.head_count_kv8
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qwen2.attention.layer_norm_rms_epsilon1e-06
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qwen2.block_count64
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qwen2.context_length32768
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qwen2.embedding_length5120
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qwen2.feed_forward_length27392
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qwen2.rope.freq_base1e+06
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tokenizer.ggml.bos_token_id151643
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tokenizer.ggml.eos_token_id151645
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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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token_embd.weightQ3_K[5120, 152064]
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blk.56.attn_k.weightQ3_K[5120, 1024]
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blk.56.attn_norm.weightF32[5120]
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blk.56.attn_output.weightQ5_K[5120, 5120]
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blk.56.attn_q.biasF32[5120]
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blk.56.attn_q.weightQ3_K[5120, 5120]
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blk.56.attn_v.biasF32[1024]
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blk.56.attn_v.weightQ5_K[5120, 1024]
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blk.56.ffn_down.weightQ5_K[27392, 5120]
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blk.56.ffn_gate.weightQ3_K[5120, 27392]
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blk.56.ffn_norm.weightF32[5120]
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blk.56.ffn_up.weightQ3_K[5120, 27392]
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blk.57.attn_k.biasF32[1024]
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blk.57.attn_k.weightQ3_K[5120, 1024]
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blk.57.attn_norm.weightF32[5120]
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blk.57.attn_output.weightQ5_K[5120, 5120]
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blk.57.attn_q.biasF32[5120]
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blk.57.attn_q.weightQ3_K[5120, 5120]
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blk.57.attn_v.biasF32[1024]
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blk.57.attn_v.weightQ5_K[5120, 1024]
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blk.57.ffn_down.weightQ5_K[27392, 5120]
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blk.57.ffn_gate.weightQ3_K[5120, 27392]
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blk.57.ffn_norm.weightF32[5120]
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blk.57.ffn_up.weightQ3_K[5120, 27392]
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blk.58.attn_k.biasF32[1024]
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blk.58.attn_k.weightQ3_K[5120, 1024]
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blk.58.attn_norm.weightF32[5120]
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blk.58.attn_output.weightQ5_K[5120, 5120]
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blk.58.attn_q.biasF32[5120]
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blk.58.attn_q.weightQ3_K[5120, 5120]
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blk.58.attn_v.biasF32[1024]
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blk.58.attn_v.weightQ5_K[5120, 1024]
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blk.58.ffn_down.weightQ5_K[27392, 5120]
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blk.58.ffn_gate.weightQ3_K[5120, 27392]
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blk.58.ffn_norm.weightF32[5120]
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blk.58.ffn_up.weightQ3_K[5120, 27392]
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blk.59.attn_k.biasF32[1024]
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blk.59.attn_k.weightQ3_K[5120, 1024]
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blk.59.attn_norm.weightF32[5120]
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blk.59.attn_output.weightQ5_K[5120, 5120]
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blk.59.attn_q.biasF32[5120]
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blk.59.attn_q.weightQ3_K[5120, 5120]
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blk.59.attn_v.biasF32[1024]
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blk.59.attn_v.weightQ5_K[5120, 1024]
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blk.59.ffn_down.weightQ5_K[27392, 5120]
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blk.59.ffn_gate.weightQ3_K[5120, 27392]
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blk.59.ffn_norm.weightF32[5120]
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blk.59.ffn_up.weightQ3_K[5120, 27392]
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blk.60.attn_k.biasF32[1024]
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blk.60.attn_k.weightQ3_K[5120, 1024]
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blk.60.attn_norm.weightF32[5120]
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blk.60.attn_output.weightQ5_K[5120, 5120]
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blk.60.attn_q.biasF32[5120]
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blk.60.attn_q.weightQ3_K[5120, 5120]
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blk.60.attn_v.biasF32[1024]
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blk.60.attn_v.weightQ5_K[5120, 1024]
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blk.60.ffn_down.weightQ5_K[27392, 5120]
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blk.60.ffn_gate.weightQ3_K[5120, 27392]
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blk.60.ffn_norm.weightF32[5120]
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blk.60.ffn_up.weightQ3_K[5120, 27392]
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blk.61.attn_k.biasF32[1024]
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blk.61.attn_k.weightQ3_K[5120, 1024]
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blk.61.attn_norm.weightF32[5120]
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blk.61.attn_output.weightQ5_K[5120, 5120]
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blk.61.attn_q.biasF32[5120]
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blk.61.attn_q.weightQ3_K[5120, 5120]
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blk.61.attn_v.biasF32[1024]
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blk.61.attn_v.weightQ5_K[5120, 1024]
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blk.61.ffn_down.weightQ5_K[27392, 5120]
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blk.61.ffn_gate.weightQ3_K[5120, 27392]
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blk.61.ffn_norm.weightF32[5120]
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blk.61.ffn_up.weightQ3_K[5120, 27392]
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blk.62.attn_k.biasF32[1024]
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blk.62.attn_k.weightQ3_K[5120, 1024]
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blk.62.attn_norm.weightF32[5120]
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blk.62.attn_output.weightQ5_K[5120, 5120]
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blk.62.attn_q.biasF32[5120]
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blk.62.attn_q.weightQ3_K[5120, 5120]
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blk.62.attn_v.biasF32[1024]
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blk.62.attn_v.weightQ5_K[5120, 1024]
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blk.62.ffn_down.weightQ5_K[27392, 5120]
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blk.62.ffn_gate.weightQ3_K[5120, 27392]
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blk.62.ffn_norm.weightF32[5120]
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blk.62.ffn_up.weightQ3_K[5120, 27392]
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blk.63.attn_k.biasF32[1024]
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blk.63.attn_k.weightQ3_K[5120, 1024]
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blk.63.attn_norm.weightF32[5120]
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blk.63.attn_output.weightQ5_K[5120, 5120]
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blk.63.attn_q.biasF32[5120]
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blk.63.attn_q.weightQ3_K[5120, 5120]
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blk.63.attn_v.biasF32[1024]
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blk.63.attn_v.weightQ5_K[5120, 1024]
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blk.63.ffn_down.weightQ5_K[27392, 5120]
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blk.63.ffn_gate.weightQ3_K[5120, 27392]
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blk.63.ffn_norm.weightF32[5120]
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blk.63.ffn_up.weightQ3_K[5120, 27392]
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output.weightQ6_K[5120, 152064]
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output_norm.weightF32[5120]
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