latest
3.2GB
Ollama import of TheDrummer/Llama-3SOME-8B-v1-BETA-GGUF
8B
165 Pulls Updated 4 months ago
615ce8745117 · 3.2GB
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general.architecturellama
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general.file_typeQ2_K
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general.quantization_version2
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llama.attention.head_count32
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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_count32
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llama.context_length24576
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llama.embedding_length4096
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llama.feed_forward_length14336
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llama.rope.dimension_count128
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llama.rope.freq_base500000
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llama.rope.scaling.factor3
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llama.rope.scaling.typelinear
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llama.vocab_size128256
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tokenizer.ggml.bos_token_id128000
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tokenizer.ggml.eos_token_id128001
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tokenizer.ggml.merges[Ġ Ġ Ġ ĠĠĠ ĠĠ ĠĠ ĠĠĠ Ġ i n ...]
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tokenizer.ggml.modelgpt2
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tokenizer.ggml.padding_token_id128001
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tokenizer.ggml.scores[0 0 0 0 0 ...]
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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.weightQ2_K[4096 128256]
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blk.0.ffn_gate.weightQ2_K[4096 14336]
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blk.0.ffn_up.weightQ2_K[4096 14336]
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blk.0.attn_norm.weightF32[4096]
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blk.0.ffn_norm.weightF32[4096]
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blk.1.attn_q.weightQ2_K[4096 4096]
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blk.1.attn_output.weightQ3_K[4096 4096]
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blk.1.ffn_gate.weightQ2_K[4096 14336]
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blk.1.ffn_up.weightQ2_K[4096 14336]
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blk.1.attn_norm.weightF32[4096]
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blk.1.ffn_norm.weightF32[4096]
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blk.2.attn_k.weightQ2_K[4096 1024]
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blk.2.attn_v.weightQ4_K[4096 1024]
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blk.2.ffn_gate.weightQ2_K[4096 14336]
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blk.2.attn_norm.weightF32[4096]
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blk.3.attn_norm.weightF32[4096]
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blk.3.ffn_norm.weightF32[4096]
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blk.6.attn_norm.weightF32[4096]
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blk.6.ffn_norm.weightF32[4096]
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blk.7.attn_q.weightQ2_K[4096 4096]
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blk.7.attn_k.weightQ2_K[4096 1024]
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blk.7.attn_v.weightQ4_K[4096 1024]
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blk.7.attn_output.weightQ3_K[4096 4096]
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blk.7.ffn_gate.weightQ2_K[4096 14336]
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blk.7.ffn_up.weightQ2_K[4096 14336]
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blk.7.attn_norm.weightF32[4096]
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blk.7.ffn_norm.weightF32[4096]
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blk.8.attn_q.weightQ2_K[4096 4096]
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blk.8.attn_k.weightQ2_K[4096 1024]
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blk.8.attn_output.weightQ3_K[4096 4096]
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blk.8.attn_norm.weightF32[4096]
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blk.8.ffn_norm.weightF32[4096]
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blk.9.attn_q.weightQ2_K[4096 4096]
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blk.9.attn_k.weightQ2_K[4096 1024]
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blk.9.attn_v.weightQ4_K[4096 1024]
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blk.9.attn_output.weightQ3_K[4096 4096]
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blk.9.ffn_gate.weightQ2_K[4096 14336]
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blk.9.ffn_up.weightQ2_K[4096 14336]
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blk.9.ffn_down.weightQ3_K[14336 4096]
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blk.9.attn_norm.weightF32[4096]
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blk.9.ffn_norm.weightF32[4096]
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blk.10.attn_q.weightQ2_K[4096 4096]
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blk.10.attn_k.weightQ2_K[4096 1024]
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blk.10.attn_v.weightQ4_K[4096 1024]
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blk.10.attn_output.weightQ3_K[4096 4096]
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blk.10.ffn_gate.weightQ2_K[4096 14336]
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blk.10.ffn_up.weightQ2_K[4096 14336]
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blk.10.ffn_down.weightQ3_K[14336 4096]
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blk.10.attn_norm.weightF32[4096]
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blk.10.ffn_norm.weightF32[4096]
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blk.11.attn_v.weightQ4_K[4096 1024]
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blk.11.attn_output.weightQ3_K[4096 4096]
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blk.11.ffn_gate.weightQ2_K[4096 14336]
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blk.11.ffn_up.weightQ2_K[4096 14336]
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blk.11.ffn_down.weightQ3_K[14336 4096]
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blk.11.attn_norm.weightF32[4096]
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blk.11.ffn_norm.weightF32[4096]
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blk.12.attn_q.weightQ2_K[4096 4096]
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blk.12.attn_k.weightQ2_K[4096 1024]
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blk.12.attn_v.weightQ4_K[4096 1024]
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blk.12.attn_output.weightQ3_K[4096 4096]
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blk.12.ffn_gate.weightQ2_K[4096 14336]
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blk.12.ffn_up.weightQ2_K[4096 14336]
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blk.12.ffn_down.weightQ3_K[14336 4096]
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blk.12.attn_norm.weightF32[4096]
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blk.12.ffn_norm.weightF32[4096]
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blk.13.attn_k.weightQ2_K[4096 1024]
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blk.13.attn_v.weightQ4_K[4096 1024]
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blk.13.ffn_gate.weightQ2_K[4096 14336]
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blk.13.ffn_up.weightQ2_K[4096 14336]
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blk.13.ffn_down.weightQ3_K[14336 4096]
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blk.13.attn_norm.weightF32[4096]
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blk.13.ffn_norm.weightF32[4096]
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blk.14.attn_k.weightQ2_K[4096 1024]
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blk.14.attn_v.weightQ4_K[4096 1024]
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blk.14.attn_output.weightQ3_K[4096 4096]
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blk.14.ffn_gate.weightQ2_K[4096 14336]
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blk.14.ffn_up.weightQ2_K[4096 14336]
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blk.14.ffn_down.weightQ3_K[14336 4096]
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blk.14.attn_norm.weightF32[4096]
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blk.14.ffn_norm.weightF32[4096]
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blk.15.attn_q.weightQ2_K[4096 4096]
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blk.15.attn_k.weightQ2_K[4096 1024]
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blk.15.attn_v.weightQ4_K[4096 1024]
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blk.15.attn_output.weightQ3_K[4096 4096]
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blk.15.ffn_gate.weightQ2_K[4096 14336]
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blk.15.ffn_up.weightQ2_K[4096 14336]
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blk.15.ffn_down.weightQ3_K[14336 4096]
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blk.15.attn_norm.weightF32[4096]
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blk.15.ffn_norm.weightF32[4096]
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blk.16.ffn_up.weightQ2_K[4096 14336]
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blk.16.ffn_down.weightQ3_K[14336 4096]
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blk.16.attn_norm.weightF32[4096]
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blk.16.ffn_norm.weightF32[4096]
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blk.17.attn_v.weightQ4_K[4096 1024]
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blk.17.attn_output.weightQ3_K[4096 4096]
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blk.17.ffn_gate.weightQ2_K[4096 14336]
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blk.17.ffn_up.weightQ2_K[4096 14336]
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blk.17.attn_norm.weightF32[4096]
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blk.17.ffn_norm.weightF32[4096]
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blk.18.attn_q.weightQ2_K[4096 4096]
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blk.18.attn_output.weightQ3_K[4096 4096]
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blk.18.ffn_gate.weightQ2_K[4096 14336]
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blk.18.ffn_up.weightQ2_K[4096 14336]
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blk.18.attn_norm.weightF32[4096]
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blk.18.ffn_norm.weightF32[4096]
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blk.19.attn_q.weightQ2_K[4096 4096]
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blk.19.attn_v.weightQ4_K[4096 1024]
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blk.19.attn_output.weightQ3_K[4096 4096]
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blk.19.ffn_gate.weightQ2_K[4096 14336]
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blk.19.ffn_up.weightQ2_K[4096 14336]
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blk.19.attn_norm.weightF32[4096]
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blk.19.ffn_norm.weightF32[4096]
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blk.20.attn_q.weightQ2_K[4096 4096]
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blk.20.attn_k.weightQ2_K[4096 1024]
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blk.20.attn_v.weightQ4_K[4096 1024]
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blk.20.attn_output.weightQ3_K[4096 4096]
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blk.20.ffn_gate.weightQ2_K[4096 14336]
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blk.20.ffn_up.weightQ2_K[4096 14336]
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blk.20.ffn_down.weightQ3_K[14336 4096]
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blk.20.attn_norm.weightF32[4096]
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blk.20.ffn_norm.weightF32[4096]
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blk.21.attn_q.weightQ2_K[4096 4096]
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blk.21.attn_k.weightQ2_K[4096 1024]
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blk.21.attn_v.weightQ4_K[4096 1024]
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blk.21.attn_output.weightQ3_K[4096 4096]
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blk.21.ffn_gate.weightQ2_K[4096 14336]
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blk.21.ffn_up.weightQ2_K[4096 14336]
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blk.21.ffn_down.weightQ3_K[14336 4096]
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blk.21.attn_norm.weightF32[4096]
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blk.21.ffn_norm.weightF32[4096]
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blk.22.attn_q.weightQ2_K[4096 4096]
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blk.22.attn_k.weightQ2_K[4096 1024]
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blk.22.attn_v.weightQ4_K[4096 1024]
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blk.22.attn_output.weightQ3_K[4096 4096]
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blk.22.ffn_gate.weightQ2_K[4096 14336]
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blk.22.ffn_up.weightQ2_K[4096 14336]
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blk.22.ffn_down.weightQ3_K[14336 4096]
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blk.22.attn_norm.weightF32[4096]
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blk.22.ffn_norm.weightF32[4096]
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blk.23.attn_q.weightQ2_K[4096 4096]
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blk.23.attn_k.weightQ2_K[4096 1024]
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blk.23.attn_v.weightQ4_K[4096 1024]
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blk.23.attn_output.weightQ3_K[4096 4096]
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blk.23.ffn_gate.weightQ2_K[4096 14336]
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blk.23.ffn_up.weightQ2_K[4096 14336]
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blk.23.ffn_down.weightQ3_K[14336 4096]
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blk.23.attn_norm.weightF32[4096]
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blk.23.ffn_norm.weightF32[4096]
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blk.24.attn_q.weightQ2_K[4096 4096]
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blk.24.attn_k.weightQ2_K[4096 1024]
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blk.24.attn_v.weightQ4_K[4096 1024]
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blk.24.attn_output.weightQ3_K[4096 4096]
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blk.24.ffn_gate.weightQ2_K[4096 14336]
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blk.24.ffn_up.weightQ2_K[4096 14336]
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blk.24.ffn_down.weightQ3_K[14336 4096]
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blk.24.attn_norm.weightF32[4096]
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blk.24.ffn_norm.weightF32[4096]
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blk.25.attn_q.weightQ2_K[4096 4096]
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blk.25.attn_k.weightQ2_K[4096 1024]
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blk.25.attn_v.weightQ4_K[4096 1024]
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blk.25.attn_output.weightQ3_K[4096 4096]
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blk.25.ffn_gate.weightQ2_K[4096 14336]
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blk.25.ffn_up.weightQ2_K[4096 14336]
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blk.25.ffn_down.weightQ3_K[14336 4096]
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blk.25.attn_norm.weightF32[4096]
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blk.25.ffn_norm.weightF32[4096]
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blk.26.attn_q.weightQ2_K[4096 4096]
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blk.26.attn_k.weightQ2_K[4096 1024]
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blk.26.attn_v.weightQ4_K[4096 1024]
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blk.26.attn_output.weightQ3_K[4096 4096]
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blk.26.ffn_gate.weightQ2_K[4096 14336]
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blk.26.ffn_up.weightQ2_K[4096 14336]
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blk.26.ffn_down.weightQ3_K[14336 4096]
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blk.26.attn_norm.weightF32[4096]
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blk.26.ffn_norm.weightF32[4096]
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blk.27.attn_norm.weightF32[4096]
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blk.27.ffn_norm.weightF32[4096]
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blk.28.attn_q.weightQ2_K[4096 4096]
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blk.28.attn_k.weightQ2_K[4096 1024]
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blk.28.attn_v.weightQ4_K[4096 1024]
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blk.28.attn_norm.weightF32[4096]
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blk.28.ffn_norm.weightF32[4096]
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blk.29.attn_v.weightQ4_K[4096 1024]
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blk.29.attn_output.weightQ3_K[4096 4096]
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blk.29.ffn_gate.weightQ2_K[4096 14336]
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blk.29.ffn_up.weightQ2_K[4096 14336]
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blk.29.ffn_down.weightQ3_K[14336 4096]
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blk.29.attn_norm.weightF32[4096]
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blk.29.ffn_norm.weightF32[4096]
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blk.30.attn_q.weightQ2_K[4096 4096]
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blk.30.attn_v.weightQ4_K[4096 1024]
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blk.30.attn_output.weightQ3_K[4096 4096]
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blk.30.ffn_gate.weightQ2_K[4096 14336]
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blk.30.attn_norm.weightF32[4096]
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blk.30.ffn_norm.weightF32[4096]
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blk.31.attn_q.weightQ2_K[4096 4096]
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blk.31.attn_k.weightQ2_K[4096 1024]
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blk.31.attn_v.weightQ4_K[4096 1024]
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blk.31.attn_output.weightQ3_K[4096 4096]
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blk.31.ffn_gate.weightQ2_K[4096 14336]
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blk.31.ffn_up.weightQ2_K[4096 14336]
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blk.31.ffn_down.weightQ3_K[14336 4096]
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blk.31.attn_norm.weightF32[4096]
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blk.31.ffn_norm.weightF32[4096]
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output_norm.weightF32[4096]
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output.weightQ6_K[4096 128256]
Metadata
Tensors
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