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
c012aaa6c358 · 1.0GB
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general.architectureqwen
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general.file_type12
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general.nameQwen
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general.quantization_version2
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qwen.attention.head_count16
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qwen.attention.layer_norm_rms_epsilon1e-06
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qwen.block_count24
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qwen.context_length8192
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qwen.embedding_length2048
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qwen.feed_forward_length11008
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qwen.rope.dimension_count128
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qwen.rope.freq_base10000
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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.token_type[1, 1, 1, 1, 1, ...]
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tokenizer.ggml.tokens[!, ", #, $, %, ...]
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tokenizer.ggml.unknown_token_id151643
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NameTypeShape
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token_embd.weightQ3_K[2048, 151936]
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blk.0.attn_qkv.biasF32[6144]
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blk.0.attn_qkv.weightQ4_K[2048, 6144]
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blk.0.ffn_down.weightQ5_1[5504, 2048]
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blk.0.ffn_gate.weightQ3_K[2048, 5504]
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blk.0.ffn_norm.weightF32[2048]
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blk.0.ffn_up.weightQ3_K[2048, 5504]
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blk.1.attn_norm.weightF32[2048]
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blk.1.attn_output.weightQ4_K[2048, 2048]
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blk.1.attn_qkv.biasF32[6144]
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blk.1.attn_qkv.weightQ4_K[2048, 6144]
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blk.1.ffn_down.weightQ5_0[5504, 2048]
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blk.1.ffn_gate.weightQ3_K[2048, 5504]
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blk.1.ffn_norm.weightF32[2048]
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blk.1.ffn_up.weightQ3_K[2048, 5504]
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blk.2.attn_qkv.biasF32[6144]
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blk.2.attn_qkv.weightQ4_K[2048, 6144]
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blk.2.ffn_norm.weightF32[2048]
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blk.2.ffn_up.weightQ3_K[2048, 5504]
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blk.3.attn_qkv.biasF32[6144]
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blk.3.attn_qkv.weightQ4_K[2048, 6144]
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blk.3.ffn_gate.weightQ3_K[2048, 5504]
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blk.3.ffn_norm.weightF32[2048]
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blk.3.ffn_up.weightQ3_K[2048, 5504]
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blk.4.attn_norm.weightF32[2048]
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blk.4.attn_output.weightQ4_K[2048, 2048]
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blk.4.attn_qkv.biasF32[6144]
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blk.4.attn_qkv.weightQ4_K[2048, 6144]
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blk.4.ffn_gate.weightQ3_K[2048, 5504]
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blk.4.ffn_norm.weightF32[2048]
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blk.4.ffn_up.weightQ3_K[2048, 5504]
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blk.5.attn_norm.weightF32[2048]
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blk.5.attn_output.weightQ4_K[2048, 2048]
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blk.5.attn_qkv.biasF32[6144]
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blk.5.attn_qkv.weightQ4_K[2048, 6144]
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blk.5.ffn_gate.weightQ3_K[2048, 5504]
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blk.5.ffn_norm.weightF32[2048]
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blk.5.ffn_up.weightQ3_K[2048, 5504]
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blk.6.attn_norm.weightF32[2048]
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blk.6.attn_output.weightQ4_K[2048, 2048]
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blk.6.attn_qkv.biasF32[6144]
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blk.6.attn_qkv.weightQ4_K[2048, 6144]
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blk.6.ffn_gate.weightQ3_K[2048, 5504]
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blk.6.ffn_norm.weightF32[2048]
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blk.6.ffn_up.weightQ3_K[2048, 5504]
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blk.7.attn_output.weightQ4_K[2048, 2048]
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blk.7.attn_qkv.biasF32[6144]
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blk.7.attn_qkv.weightQ4_K[2048, 6144]
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blk.7.ffn_down.weightQ5_0[5504, 2048]
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blk.7.ffn_gate.weightQ3_K[2048, 5504]
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blk.7.ffn_norm.weightF32[2048]
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blk.7.ffn_up.weightQ3_K[2048, 5504]
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blk.8.attn_qkv.biasF32[6144]
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blk.8.attn_qkv.weightQ4_K[2048, 6144]
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blk.8.ffn_norm.weightF32[2048]
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blk.8.ffn_up.weightQ3_K[2048, 5504]
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blk.9.attn_norm.weightF32[2048]
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blk.9.attn_output.weightQ4_K[2048, 2048]
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blk.9.attn_qkv.biasF32[6144]
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blk.9.attn_qkv.weightQ4_K[2048, 6144]
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blk.9.ffn_down.weightQ5_0[5504, 2048]
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blk.9.ffn_gate.weightQ3_K[2048, 5504]
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blk.9.ffn_norm.weightF32[2048]
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blk.9.ffn_up.weightQ3_K[2048, 5504]
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blk.10.attn_norm.weightF32[2048]
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blk.10.attn_output.weightQ4_K[2048, 2048]
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blk.10.attn_qkv.biasF32[6144]
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blk.10.attn_qkv.weightQ4_K[2048, 6144]
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blk.10.ffn_down.weightQ5_0[5504, 2048]
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blk.10.ffn_gate.weightQ3_K[2048, 5504]
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blk.10.ffn_norm.weightF32[2048]
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blk.10.ffn_up.weightQ3_K[2048, 5504]
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blk.11.attn_norm.weightF32[2048]
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blk.11.attn_output.weightQ4_K[2048, 2048]
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blk.11.attn_qkv.biasF32[6144]
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blk.11.attn_qkv.weightQ4_K[2048, 6144]
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blk.11.ffn_down.weightQ5_0[5504, 2048]
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blk.11.ffn_gate.weightQ3_K[2048, 5504]
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blk.11.ffn_norm.weightF32[2048]
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blk.11.ffn_up.weightQ3_K[2048, 5504]
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blk.12.attn_norm.weightF32[2048]
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blk.12.attn_output.weightQ4_K[2048, 2048]
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blk.12.attn_qkv.biasF32[6144]
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blk.12.attn_qkv.weightQ4_K[2048, 6144]
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blk.12.ffn_down.weightQ5_0[5504, 2048]
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blk.12.ffn_gate.weightQ3_K[2048, 5504]
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blk.12.ffn_norm.weightF32[2048]
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blk.12.ffn_up.weightQ3_K[2048, 5504]
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blk.13.attn_norm.weightF32[2048]
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blk.13.attn_output.weightQ4_K[2048, 2048]
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blk.13.attn_qkv.biasF32[6144]
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blk.13.attn_qkv.weightQ4_K[2048, 6144]
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blk.13.ffn_down.weightQ5_0[5504, 2048]
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blk.13.ffn_gate.weightQ3_K[2048, 5504]
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blk.13.ffn_norm.weightF32[2048]
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blk.13.ffn_up.weightQ3_K[2048, 5504]
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blk.14.attn_norm.weightF32[2048]
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blk.14.attn_output.weightQ4_K[2048, 2048]
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blk.14.attn_qkv.biasF32[6144]
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blk.14.attn_qkv.weightQ4_K[2048, 6144]
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blk.14.ffn_down.weightQ5_0[5504, 2048]
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blk.14.ffn_gate.weightQ3_K[2048, 5504]
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blk.14.ffn_norm.weightF32[2048]
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blk.14.ffn_up.weightQ3_K[2048, 5504]
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blk.15.attn_norm.weightF32[2048]
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blk.15.attn_output.weightQ4_K[2048, 2048]
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blk.15.attn_qkv.biasF32[6144]
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blk.15.attn_qkv.weightQ4_K[2048, 6144]
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blk.15.ffn_down.weightQ5_0[5504, 2048]
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blk.15.ffn_gate.weightQ3_K[2048, 5504]
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blk.15.ffn_norm.weightF32[2048]
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blk.15.ffn_up.weightQ3_K[2048, 5504]
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blk.16.attn_norm.weightF32[2048]
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blk.16.attn_output.weightQ4_K[2048, 2048]
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blk.16.attn_qkv.biasF32[6144]
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blk.16.ffn_norm.weightF32[2048]
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blk.16.ffn_up.weightQ3_K[2048, 5504]
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blk.17.attn_norm.weightF32[2048]
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blk.17.attn_output.weightQ4_K[2048, 2048]
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blk.17.attn_qkv.biasF32[6144]
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blk.17.attn_qkv.weightQ4_K[2048, 6144]
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blk.17.ffn_down.weightQ5_0[5504, 2048]
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blk.17.ffn_gate.weightQ3_K[2048, 5504]
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blk.17.ffn_norm.weightF32[2048]
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blk.17.ffn_up.weightQ3_K[2048, 5504]
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blk.18.attn_qkv.biasF32[6144]
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blk.18.ffn_norm.weightF32[2048]
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blk.18.ffn_up.weightQ3_K[2048, 5504]
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blk.19.attn_qkv.biasF32[6144]
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blk.19.ffn_down.weightQ5_0[5504, 2048]
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blk.19.ffn_norm.weightF32[2048]
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blk.19.ffn_up.weightQ3_K[2048, 5504]
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blk.20.attn_output.weightQ4_K[2048, 2048]
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blk.20.attn_qkv.biasF32[6144]
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blk.20.attn_qkv.weightQ4_K[2048, 6144]
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blk.20.ffn_norm.weightF32[2048]
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blk.20.ffn_up.weightQ3_K[2048, 5504]
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blk.21.attn_norm.weightF32[2048]
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blk.21.attn_output.weightQ4_K[2048, 2048]
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blk.21.attn_qkv.biasF32[6144]
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blk.21.attn_qkv.weightQ4_K[2048, 6144]
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blk.21.ffn_down.weightQ5_0[5504, 2048]
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blk.21.ffn_gate.weightQ3_K[2048, 5504]
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blk.21.ffn_norm.weightF32[2048]
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blk.21.ffn_up.weightQ3_K[2048, 5504]
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blk.22.attn_output.weightQ4_K[2048, 2048]
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blk.22.attn_qkv.biasF32[6144]
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blk.22.attn_qkv.weightQ4_K[2048, 6144]
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blk.22.ffn_down.weightQ5_0[5504, 2048]
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blk.22.ffn_gate.weightQ3_K[2048, 5504]
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blk.22.ffn_norm.weightF32[2048]
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blk.22.ffn_up.weightQ3_K[2048, 5504]
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blk.23.attn_norm.weightF32[2048]
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blk.23.attn_output.weightQ4_K[2048, 2048]
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blk.23.attn_qkv.biasF32[6144]
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blk.23.attn_qkv.weightQ4_K[2048, 6144]
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blk.23.ffn_down.weightQ5_0[5504, 2048]
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blk.23.ffn_gate.weightQ3_K[2048, 5504]
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blk.23.ffn_norm.weightF32[2048]
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blk.23.ffn_up.weightQ3_K[2048, 5504]
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output.weightQ6_K[2048, 151936]
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output_norm.weightF32[2048]
Metadata
Tensor
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