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
99f00791c067 · 2.3GB
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general.architectureqwen2
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general.file_type14
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general.nameQwen2-beta-4B-Chat
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general.quantization_version2
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qwen2.attention.head_count20
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qwen2.attention.head_count_kv20
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qwen2.attention.layer_norm_rms_epsilon1e-06
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qwen2.block_count40
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qwen2.context_length32768
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qwen2.embedding_length2560
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qwen2.feed_forward_length6912
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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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token_embd.weightQ4_K[2560, 151936]
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blk.26.ffn_norm.weightF32[2560]
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blk.26.ffn_up.weightQ4_K[2560, 6912]
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blk.27.attn_k.biasF32[2560]
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blk.27.attn_k.weightQ4_K[2560, 2560]
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blk.27.attn_norm.weightF32[2560]
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blk.27.attn_output.weightQ4_K[2560, 2560]
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blk.27.attn_q.biasF32[2560]
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blk.27.attn_q.weightQ4_K[2560, 2560]
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blk.27.attn_v.biasF32[2560]
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blk.27.attn_v.weightQ4_K[2560, 2560]
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blk.27.ffn_down.weightQ4_K[6912, 2560]
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blk.27.ffn_gate.weightQ4_K[2560, 6912]
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blk.27.ffn_norm.weightF32[2560]
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blk.27.ffn_up.weightQ4_K[2560, 6912]
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blk.28.attn_k.biasF32[2560]
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blk.28.attn_k.weightQ4_K[2560, 2560]
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blk.28.attn_norm.weightF32[2560]
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blk.28.attn_output.weightQ4_K[2560, 2560]
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blk.28.attn_q.biasF32[2560]
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blk.28.attn_q.weightQ4_K[2560, 2560]
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blk.28.attn_v.biasF32[2560]
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blk.28.attn_v.weightQ4_K[2560, 2560]
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blk.28.ffn_down.weightQ4_K[6912, 2560]
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blk.28.ffn_gate.weightQ4_K[2560, 6912]
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blk.28.ffn_norm.weightF32[2560]
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blk.28.ffn_up.weightQ4_K[2560, 6912]
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blk.29.attn_k.biasF32[2560]
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blk.29.attn_k.weightQ4_K[2560, 2560]
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blk.29.attn_norm.weightF32[2560]
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blk.29.attn_output.weightQ4_K[2560, 2560]
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blk.29.attn_q.biasF32[2560]
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blk.29.attn_q.weightQ4_K[2560, 2560]
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blk.29.attn_v.biasF32[2560]
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blk.29.attn_v.weightQ4_K[2560, 2560]
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blk.29.ffn_down.weightQ4_K[6912, 2560]
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blk.29.ffn_gate.weightQ4_K[2560, 6912]
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blk.29.ffn_norm.weightF32[2560]
-
blk.29.ffn_up.weightQ4_K[2560, 6912]
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blk.30.attn_k.biasF32[2560]
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blk.30.attn_k.weightQ4_K[2560, 2560]
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blk.30.attn_norm.weightF32[2560]
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blk.30.attn_output.weightQ4_K[2560, 2560]
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blk.30.attn_q.biasF32[2560]
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blk.30.attn_q.weightQ4_K[2560, 2560]
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blk.30.attn_v.biasF32[2560]
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blk.30.attn_v.weightQ4_K[2560, 2560]
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blk.30.ffn_down.weightQ4_K[6912, 2560]
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blk.30.ffn_gate.weightQ4_K[2560, 6912]
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blk.30.ffn_norm.weightF32[2560]
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blk.30.ffn_up.weightQ4_K[2560, 6912]
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blk.31.attn_k.biasF32[2560]
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blk.31.attn_k.weightQ4_K[2560, 2560]
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blk.31.attn_norm.weightF32[2560]
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blk.31.attn_output.weightQ4_K[2560, 2560]
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blk.31.attn_q.biasF32[2560]
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blk.31.attn_q.weightQ4_K[2560, 2560]
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blk.31.attn_v.biasF32[2560]
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blk.31.attn_v.weightQ4_K[2560, 2560]
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blk.31.ffn_down.weightQ4_K[6912, 2560]
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blk.31.ffn_gate.weightQ4_K[2560, 6912]
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blk.31.ffn_norm.weightF32[2560]
-
blk.31.ffn_up.weightQ4_K[2560, 6912]
-
blk.32.attn_k.biasF32[2560]
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blk.32.attn_k.weightQ4_K[2560, 2560]
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blk.32.attn_norm.weightF32[2560]
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blk.32.attn_output.weightQ4_K[2560, 2560]
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blk.32.attn_q.biasF32[2560]
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blk.32.attn_q.weightQ4_K[2560, 2560]
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blk.32.attn_v.biasF32[2560]
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blk.32.attn_v.weightQ4_K[2560, 2560]
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blk.32.ffn_down.weightQ4_K[6912, 2560]
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blk.32.ffn_gate.weightQ4_K[2560, 6912]
-
blk.32.ffn_norm.weightF32[2560]
-
blk.32.ffn_up.weightQ4_K[2560, 6912]
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blk.33.attn_k.biasF32[2560]
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blk.33.attn_k.weightQ4_K[2560, 2560]
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blk.33.attn_norm.weightF32[2560]
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blk.33.attn_output.weightQ4_K[2560, 2560]
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blk.33.attn_q.biasF32[2560]
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blk.33.attn_q.weightQ4_K[2560, 2560]
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blk.33.attn_v.biasF32[2560]
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blk.33.attn_v.weightQ4_K[2560, 2560]
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blk.33.ffn_down.weightQ4_K[6912, 2560]
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blk.33.ffn_gate.weightQ4_K[2560, 6912]
-
blk.33.ffn_norm.weightF32[2560]
-
blk.33.ffn_up.weightQ4_K[2560, 6912]
-
blk.34.attn_k.biasF32[2560]
-
blk.34.attn_k.weightQ4_K[2560, 2560]
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blk.34.attn_norm.weightF32[2560]
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blk.34.attn_output.weightQ4_K[2560, 2560]
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blk.34.attn_q.biasF32[2560]
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blk.34.attn_q.weightQ4_K[2560, 2560]
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blk.34.attn_v.biasF32[2560]
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blk.34.attn_v.weightQ4_K[2560, 2560]
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blk.34.ffn_down.weightQ4_K[6912, 2560]
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blk.34.ffn_gate.weightQ4_K[2560, 6912]
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blk.34.ffn_norm.weightF32[2560]
-
blk.34.ffn_up.weightQ4_K[2560, 6912]
-
blk.35.attn_k.biasF32[2560]
-
blk.35.attn_k.weightQ4_K[2560, 2560]
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blk.35.attn_norm.weightF32[2560]
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blk.35.attn_output.weightQ4_K[2560, 2560]
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blk.35.attn_q.biasF32[2560]
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blk.35.attn_q.weightQ4_K[2560, 2560]
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blk.35.attn_v.biasF32[2560]
-
blk.35.attn_v.weightQ4_K[2560, 2560]
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blk.35.ffn_down.weightQ4_K[6912, 2560]
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blk.35.ffn_gate.weightQ4_K[2560, 6912]
-
blk.35.ffn_norm.weightF32[2560]
-
blk.35.ffn_up.weightQ4_K[2560, 6912]
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blk.36.attn_k.biasF32[2560]
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blk.36.attn_k.weightQ4_K[2560, 2560]
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blk.36.attn_norm.weightF32[2560]
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blk.36.attn_output.weightQ4_K[2560, 2560]
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blk.36.attn_q.biasF32[2560]
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blk.36.attn_q.weightQ4_K[2560, 2560]
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blk.36.attn_v.biasF32[2560]
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blk.36.attn_v.weightQ4_K[2560, 2560]
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blk.36.ffn_down.weightQ4_K[6912, 2560]
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blk.36.ffn_gate.weightQ4_K[2560, 6912]
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blk.36.ffn_norm.weightF32[2560]
-
blk.36.ffn_up.weightQ4_K[2560, 6912]
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blk.37.attn_k.biasF32[2560]
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blk.37.attn_k.weightQ4_K[2560, 2560]
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blk.37.attn_norm.weightF32[2560]
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blk.37.attn_output.weightQ4_K[2560, 2560]
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blk.37.attn_q.biasF32[2560]
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blk.37.attn_q.weightQ4_K[2560, 2560]
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blk.37.attn_v.biasF32[2560]
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blk.37.attn_v.weightQ4_K[2560, 2560]
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blk.37.ffn_down.weightQ4_K[6912, 2560]
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blk.37.ffn_gate.weightQ4_K[2560, 6912]
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blk.37.ffn_norm.weightF32[2560]
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blk.37.ffn_up.weightQ4_K[2560, 6912]
-
blk.38.attn_k.biasF32[2560]
-
blk.38.attn_k.weightQ4_K[2560, 2560]
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blk.38.attn_norm.weightF32[2560]
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blk.38.attn_output.weightQ4_K[2560, 2560]
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blk.38.attn_q.biasF32[2560]
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blk.38.attn_q.weightQ4_K[2560, 2560]
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blk.38.attn_v.biasF32[2560]
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blk.38.attn_v.weightQ4_K[2560, 2560]
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blk.38.ffn_down.weightQ4_K[6912, 2560]
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blk.38.ffn_gate.weightQ4_K[2560, 6912]
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blk.38.ffn_norm.weightF32[2560]
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blk.38.ffn_up.weightQ4_K[2560, 6912]
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blk.39.attn_k.biasF32[2560]
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blk.39.attn_k.weightQ4_K[2560, 2560]
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blk.39.attn_norm.weightF32[2560]
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blk.39.attn_output.weightQ4_K[2560, 2560]
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blk.39.attn_q.biasF32[2560]
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blk.39.attn_q.weightQ4_K[2560, 2560]
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blk.39.attn_v.biasF32[2560]
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blk.39.attn_v.weightQ4_K[2560, 2560]
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blk.39.ffn_down.weightQ4_K[6912, 2560]
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blk.39.ffn_gate.weightQ4_K[2560, 6912]
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blk.39.ffn_norm.weightF32[2560]
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blk.39.ffn_up.weightQ4_K[2560, 6912]
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output.weightQ6_K[2560, 151936]
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output_norm.weightF32[2560]
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