Quantized versions of a model merge between nous-capybara and tess-yi.
206 Pulls Updated 12 months ago
acfe395a1895 · 15GB
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general.architecturellama
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general.file_type10
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general.quantization_version2
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llama.attention.head_count56
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llama.attention.head_count_kv8
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llama.attention.layer_norm_rms_epsilon1e-05
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llama.block_count60
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llama.context_length200000
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llama.embedding_length7168
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llama.feed_forward_length20480
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llama.rope.dimension_count128
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llama.rope.freq_base5e+06
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tokenizer.ggml.bos_token_id1
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tokenizer.ggml.eos_token_id2
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tokenizer.ggml.modelllama
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tokenizer.ggml.padding_token_id0
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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>, <|startoftext|>, <|endoftext|>, <|Human|>, <|Assistant|>, ...]
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NameTypeShape
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blk.35.attn_k.weightQ2_K[7168, 1024]
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blk.35.attn_norm.weightF32[7168]
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blk.35.ffn_gate.weightQ3_K[7168, 20480]
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blk.35.ffn_norm.weightF32[7168]
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blk.35.ffn_up.weightQ3_K[7168, 20480]
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blk.36.attn_k.weightQ2_K[7168, 1024]
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blk.36.attn_norm.weightF32[7168]
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blk.36.ffn_down.weightQ3_K[20480, 7168]
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blk.36.ffn_gate.weightQ3_K[7168, 20480]
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blk.36.ffn_norm.weightF32[7168]
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blk.37.attn_k.weightQ2_K[7168, 1024]
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blk.37.attn_norm.weightF32[7168]
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blk.37.attn_q.weightQ2_K[7168, 7168]
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blk.37.ffn_down.weightQ3_K[20480, 7168]
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blk.37.ffn_gate.weightQ3_K[7168, 20480]
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blk.37.ffn_norm.weightF32[7168]
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blk.37.ffn_up.weightQ3_K[7168, 20480]
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blk.38.attn_k.weightQ2_K[7168, 1024]
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blk.38.attn_norm.weightF32[7168]
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blk.38.attn_output.weightQ3_K[7168, 7168]
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blk.38.attn_q.weightQ2_K[7168, 7168]
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blk.38.attn_v.weightQ3_K[7168, 1024]
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blk.38.ffn_down.weightQ3_K[20480, 7168]
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blk.38.ffn_gate.weightQ3_K[7168, 20480]
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blk.38.ffn_norm.weightF32[7168]
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blk.39.attn_k.weightQ2_K[7168, 1024]
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blk.39.attn_norm.weightF32[7168]
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blk.39.attn_output.weightQ3_K[7168, 7168]
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blk.39.attn_q.weightQ2_K[7168, 7168]
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blk.39.attn_v.weightQ3_K[7168, 1024]
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blk.39.ffn_down.weightQ3_K[20480, 7168]
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blk.39.ffn_gate.weightQ3_K[7168, 20480]
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blk.39.ffn_norm.weightF32[7168]
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blk.39.ffn_up.weightQ3_K[7168, 20480]
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blk.40.attn_k.weightQ2_K[7168, 1024]
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blk.40.attn_norm.weightF32[7168]
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blk.40.attn_output.weightQ3_K[7168, 7168]
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blk.40.attn_q.weightQ2_K[7168, 7168]
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blk.40.attn_v.weightQ3_K[7168, 1024]
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blk.40.ffn_down.weightQ3_K[20480, 7168]
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blk.40.ffn_gate.weightQ3_K[7168, 20480]
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blk.40.ffn_norm.weightF32[7168]
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blk.40.ffn_up.weightQ3_K[7168, 20480]
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blk.41.attn_k.weightQ2_K[7168, 1024]
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blk.41.attn_norm.weightF32[7168]
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blk.41.attn_output.weightQ3_K[7168, 7168]
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blk.41.attn_q.weightQ2_K[7168, 7168]
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blk.41.attn_v.weightQ3_K[7168, 1024]
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blk.41.ffn_down.weightQ3_K[20480, 7168]
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blk.41.ffn_gate.weightQ3_K[7168, 20480]
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blk.41.ffn_norm.weightF32[7168]
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blk.41.ffn_up.weightQ3_K[7168, 20480]
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blk.42.attn_norm.weightF32[7168]
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blk.42.attn_output.weightQ3_K[7168, 7168]
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blk.42.attn_q.weightQ2_K[7168, 7168]
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blk.42.attn_v.weightQ3_K[7168, 1024]
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blk.42.ffn_down.weightQ3_K[20480, 7168]
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blk.42.ffn_gate.weightQ3_K[7168, 20480]
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blk.42.ffn_norm.weightF32[7168]
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blk.42.ffn_up.weightQ3_K[7168, 20480]
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blk.43.attn_k.weightQ2_K[7168, 1024]
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blk.43.attn_norm.weightF32[7168]
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blk.43.attn_output.weightQ3_K[7168, 7168]
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blk.43.attn_q.weightQ2_K[7168, 7168]
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blk.43.attn_v.weightQ3_K[7168, 1024]
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blk.43.ffn_down.weightQ3_K[20480, 7168]
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blk.43.ffn_gate.weightQ3_K[7168, 20480]
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blk.43.ffn_norm.weightF32[7168]
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blk.43.ffn_up.weightQ3_K[7168, 20480]
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blk.44.attn_k.weightQ2_K[7168, 1024]
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blk.44.attn_norm.weightF32[7168]
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blk.44.attn_output.weightQ3_K[7168, 7168]
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blk.44.attn_q.weightQ2_K[7168, 7168]
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blk.44.attn_v.weightQ3_K[7168, 1024]
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blk.44.ffn_down.weightQ3_K[20480, 7168]
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blk.44.ffn_gate.weightQ3_K[7168, 20480]
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blk.44.ffn_norm.weightF32[7168]
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blk.44.ffn_up.weightQ3_K[7168, 20480]
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blk.45.attn_k.weightQ2_K[7168, 1024]
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blk.45.attn_norm.weightF32[7168]
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blk.45.attn_output.weightQ3_K[7168, 7168]
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blk.45.attn_q.weightQ2_K[7168, 7168]
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blk.45.attn_v.weightQ3_K[7168, 1024]
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blk.45.ffn_down.weightQ3_K[20480, 7168]
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blk.45.ffn_gate.weightQ3_K[7168, 20480]
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blk.45.ffn_norm.weightF32[7168]
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blk.45.ffn_up.weightQ3_K[7168, 20480]
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blk.46.attn_k.weightQ2_K[7168, 1024]
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blk.46.attn_norm.weightF32[7168]
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blk.46.attn_output.weightQ3_K[7168, 7168]
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blk.46.attn_q.weightQ2_K[7168, 7168]
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blk.46.attn_v.weightQ3_K[7168, 1024]
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blk.46.ffn_down.weightQ3_K[20480, 7168]
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blk.46.ffn_gate.weightQ3_K[7168, 20480]
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blk.46.ffn_norm.weightF32[7168]
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blk.46.ffn_up.weightQ3_K[7168, 20480]
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blk.47.attn_k.weightQ2_K[7168, 1024]
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blk.47.attn_norm.weightF32[7168]
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blk.47.attn_output.weightQ3_K[7168, 7168]
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blk.47.attn_q.weightQ2_K[7168, 7168]
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blk.47.attn_v.weightQ3_K[7168, 1024]
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blk.47.ffn_down.weightQ3_K[20480, 7168]
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blk.47.ffn_gate.weightQ3_K[7168, 20480]
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blk.47.ffn_norm.weightF32[7168]
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blk.47.ffn_up.weightQ3_K[7168, 20480]
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blk.48.attn_k.weightQ2_K[7168, 1024]
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blk.48.attn_norm.weightF32[7168]
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blk.48.attn_output.weightQ3_K[7168, 7168]
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blk.48.attn_q.weightQ2_K[7168, 7168]
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blk.48.attn_v.weightQ3_K[7168, 1024]
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blk.48.ffn_down.weightQ3_K[20480, 7168]
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blk.48.ffn_gate.weightQ3_K[7168, 20480]
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blk.48.ffn_norm.weightF32[7168]
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blk.48.ffn_up.weightQ3_K[7168, 20480]
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blk.49.attn_k.weightQ2_K[7168, 1024]
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blk.49.attn_norm.weightF32[7168]
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blk.49.attn_output.weightQ3_K[7168, 7168]
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blk.49.attn_q.weightQ2_K[7168, 7168]
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blk.49.attn_v.weightQ3_K[7168, 1024]
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blk.49.ffn_down.weightQ3_K[20480, 7168]
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blk.49.ffn_gate.weightQ3_K[7168, 20480]
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blk.49.ffn_norm.weightF32[7168]
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blk.49.ffn_up.weightQ3_K[7168, 20480]
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blk.50.attn_k.weightQ2_K[7168, 1024]
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blk.50.attn_norm.weightF32[7168]
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blk.50.attn_output.weightQ3_K[7168, 7168]
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blk.50.attn_q.weightQ2_K[7168, 7168]
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blk.50.attn_v.weightQ3_K[7168, 1024]
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blk.50.ffn_down.weightQ3_K[20480, 7168]
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blk.50.ffn_gate.weightQ3_K[7168, 20480]
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blk.50.ffn_norm.weightF32[7168]
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blk.50.ffn_up.weightQ3_K[7168, 20480]
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blk.51.attn_k.weightQ2_K[7168, 1024]
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blk.51.attn_norm.weightF32[7168]
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blk.51.attn_output.weightQ3_K[7168, 7168]
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blk.51.attn_q.weightQ2_K[7168, 7168]
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blk.51.attn_v.weightQ3_K[7168, 1024]
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blk.51.ffn_down.weightQ3_K[20480, 7168]
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blk.51.ffn_gate.weightQ3_K[7168, 20480]
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blk.51.ffn_norm.weightF32[7168]
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blk.51.ffn_up.weightQ3_K[7168, 20480]
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blk.52.attn_k.weightQ2_K[7168, 1024]
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blk.52.attn_norm.weightF32[7168]
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blk.52.attn_output.weightQ3_K[7168, 7168]
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blk.52.attn_q.weightQ2_K[7168, 7168]
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blk.52.attn_v.weightQ3_K[7168, 1024]
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blk.52.ffn_down.weightQ3_K[20480, 7168]
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blk.52.ffn_gate.weightQ3_K[7168, 20480]
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blk.52.ffn_norm.weightF32[7168]
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blk.52.ffn_up.weightQ3_K[7168, 20480]
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blk.53.attn_k.weightQ2_K[7168, 1024]
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blk.53.attn_norm.weightF32[7168]
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blk.53.attn_output.weightQ3_K[7168, 7168]
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blk.53.attn_q.weightQ2_K[7168, 7168]
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blk.53.attn_v.weightQ3_K[7168, 1024]
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blk.53.ffn_down.weightQ3_K[20480, 7168]
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blk.53.ffn_gate.weightQ3_K[7168, 20480]
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blk.53.ffn_norm.weightF32[7168]
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blk.53.ffn_up.weightQ3_K[7168, 20480]
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blk.54.attn_norm.weightF32[7168]
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blk.54.ffn_gate.weightQ3_K[7168, 20480]
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blk.54.ffn_norm.weightF32[7168]
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blk.54.ffn_up.weightQ3_K[7168, 20480]
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blk.55.attn_k.weightQ2_K[7168, 1024]
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blk.55.attn_norm.weightF32[7168]
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blk.55.attn_v.weightQ3_K[7168, 1024]
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blk.55.ffn_down.weightQ3_K[20480, 7168]
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blk.55.ffn_gate.weightQ3_K[7168, 20480]
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blk.55.ffn_norm.weightF32[7168]
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blk.56.attn_norm.weightF32[7168]
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blk.56.attn_q.weightQ2_K[7168, 7168]
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blk.56.ffn_gate.weightQ3_K[7168, 20480]
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blk.56.ffn_norm.weightF32[7168]
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blk.56.ffn_up.weightQ3_K[7168, 20480]
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blk.57.attn_k.weightQ2_K[7168, 1024]
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blk.57.attn_norm.weightF32[7168]
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blk.57.attn_output.weightQ3_K[7168, 7168]
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blk.57.attn_q.weightQ2_K[7168, 7168]
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blk.57.attn_v.weightQ3_K[7168, 1024]
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blk.57.ffn_down.weightQ3_K[20480, 7168]
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blk.57.ffn_gate.weightQ3_K[7168, 20480]
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blk.57.ffn_norm.weightF32[7168]
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blk.57.ffn_up.weightQ3_K[7168, 20480]
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blk.58.attn_k.weightQ2_K[7168, 1024]
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blk.58.attn_norm.weightF32[7168]
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blk.58.attn_output.weightQ3_K[7168, 7168]
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blk.58.attn_q.weightQ2_K[7168, 7168]
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blk.58.attn_v.weightQ3_K[7168, 1024]
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blk.58.ffn_down.weightQ3_K[20480, 7168]
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blk.58.ffn_gate.weightQ3_K[7168, 20480]
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blk.58.ffn_norm.weightF32[7168]
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blk.58.ffn_up.weightQ3_K[7168, 20480]
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blk.59.attn_k.weightQ2_K[7168, 1024]
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blk.59.attn_norm.weightF32[7168]
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blk.59.attn_output.weightQ3_K[7168, 7168]
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blk.59.attn_q.weightQ2_K[7168, 7168]
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blk.59.attn_v.weightQ3_K[7168, 1024]
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blk.59.ffn_down.weightQ3_K[20480, 7168]
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blk.59.ffn_gate.weightQ3_K[7168, 20480]
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blk.59.ffn_norm.weightF32[7168]
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blk.59.ffn_up.weightQ3_K[7168, 20480]
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output.weightQ6_K[7168, 64000]
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output_norm.weightF32[7168]
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