CodeQwen1.5 is a large language model pretrained on a large amount of code data.
7b
121.3K Pulls Updated 6 months ago
504cedf78c8f · 4.2GB
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general.architectureqwen2
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general.file_type2
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general.nameCodeQwen1.5-7B-Chat
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general.quantization_version2
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qwen2.attention.head_count32
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qwen2.attention.head_count_kv4
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qwen2.attention.layer_norm_rms_epsilon1e-05
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qwen2.block_count32
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qwen2.context_length65536
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qwen2.embedding_length4096
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qwen2.feed_forward_length13440
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qwen2.rope.freq_base1e+06
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tokenizer.ggml.add_bos_tokenfalse
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tokenizer.ggml.add_eos_tokenfalse
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tokenizer.ggml.bos_token_id2
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tokenizer.ggml.eos_token_id4
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tokenizer.ggml.modelllama
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tokenizer.ggml.padding_token_id92298
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tokenizer.ggml.predefault
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tokenizer.ggml.scores[0, 0, 0, 0, 0, ...]
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tokenizer.ggml.token_type[2, 3, 3, 3, 3, ...]
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tokenizer.ggml.tokens[<unk>, <s>, <|endoftext|>, <|im_start|>, <|im_end|>, ...]
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tokenizer.ggml.unknown_token_id0
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blk.27.attn_output.weightQ4_0[4096, 4096]
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blk.27.attn_q.biasF32[4096]
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blk.27.attn_q.weightQ4_0[4096, 4096]
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blk.27.attn_v.biasF32[512]
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blk.27.attn_v.weightQ4_0[4096, 512]
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blk.27.ffn_down.weightQ4_0[13440, 4096]
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blk.27.ffn_gate.weightQ4_0[4096, 13440]
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blk.27.ffn_norm.weightF32[4096]
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blk.27.ffn_up.weightQ4_0[4096, 13440]
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blk.28.attn_k.biasF32[512]
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blk.28.attn_k.weightQ4_0[4096, 512]
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blk.28.attn_norm.weightF32[4096]
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blk.28.attn_output.weightQ4_0[4096, 4096]
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blk.28.attn_q.biasF32[4096]
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blk.28.attn_q.weightQ4_0[4096, 4096]
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blk.28.attn_v.biasF32[512]
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blk.28.attn_v.weightQ4_0[4096, 512]
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blk.28.ffn_down.weightQ4_0[13440, 4096]
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blk.28.ffn_gate.weightQ4_0[4096, 13440]
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blk.28.ffn_norm.weightF32[4096]
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blk.28.ffn_up.weightQ4_0[4096, 13440]
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blk.29.attn_k.biasF32[512]
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blk.29.attn_k.weightQ4_0[4096, 512]
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blk.29.attn_norm.weightF32[4096]
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blk.29.attn_output.weightQ4_0[4096, 4096]
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blk.29.attn_q.biasF32[4096]
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blk.29.attn_q.weightQ4_0[4096, 4096]
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blk.29.attn_v.biasF32[512]
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blk.29.attn_v.weightQ4_0[4096, 512]
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blk.29.ffn_down.weightQ4_0[13440, 4096]
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blk.29.ffn_gate.weightQ4_0[4096, 13440]
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blk.29.ffn_norm.weightF32[4096]
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blk.29.ffn_up.weightQ4_0[4096, 13440]
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blk.30.attn_k.biasF32[512]
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blk.30.attn_k.weightQ4_0[4096, 512]
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blk.30.attn_norm.weightF32[4096]
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blk.30.attn_output.weightQ4_0[4096, 4096]
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blk.30.attn_q.biasF32[4096]
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blk.30.attn_q.weightQ4_0[4096, 4096]
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blk.30.attn_v.biasF32[512]
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blk.30.attn_v.weightQ4_0[4096, 512]
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blk.30.ffn_down.weightQ4_0[13440, 4096]
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blk.30.ffn_gate.weightQ4_0[4096, 13440]
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blk.30.ffn_norm.weightF32[4096]
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blk.30.ffn_up.weightQ4_0[4096, 13440]
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blk.31.attn_k.biasF32[512]
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blk.31.attn_k.weightQ4_0[4096, 512]
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blk.31.attn_norm.weightF32[4096]
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blk.31.attn_output.weightQ4_0[4096, 4096]
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blk.31.attn_q.biasF32[4096]
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blk.31.attn_q.weightQ4_0[4096, 4096]
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blk.31.attn_v.biasF32[512]
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blk.31.attn_v.weightQ4_0[4096, 512]
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blk.31.ffn_down.weightQ4_0[13440, 4096]
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blk.31.ffn_gate.weightQ4_0[4096, 13440]
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blk.31.ffn_norm.weightF32[4096]
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blk.31.ffn_up.weightQ4_0[4096, 13440]
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output.weightQ6_K[4096, 92416]
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output_norm.weightF32[4096]
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