1,660 Pulls Updated 5 months ago
3682bcf66f4c · 5.7MB
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general.architecturellama
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general.file_type7
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general.name.
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llama.attention.head_count16
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llama.attention.head_count_kv16
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llama.attention.layer_norm_rms_epsilon1e-06
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llama.block_count8
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llama.context_length2048
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llama.embedding_length64
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llama.feed_forward_length256
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llama.rope.dimension_count4
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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.scores[0, 0, 0, 0, 0, ...]
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tokenizer.ggml.token_type[2, 3, 3, 6, 6, ...]
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tokenizer.ggml.tokens[<unk>, <s>, </s>, <0x00>, <0x01>, ...]
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tokenizer.ggml.unknown_token_id0
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NameTypeShape
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token_embd.weightQ8_0[64, 32000]
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blk.0.attn_k.weightQ8_0[64, 64]
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blk.0.attn_norm.weightF32[64]
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blk.0.attn_output.weightQ8_0[64, 64]
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blk.0.attn_q.weightQ8_0[64, 64]
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blk.0.attn_v.weightQ8_0[64, 64]
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blk.0.ffn_down.weightQ8_0[256, 64]
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blk.0.ffn_gate.weightQ8_0[64, 256]
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blk.0.ffn_norm.weightF32[64]
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blk.0.ffn_up.weightQ8_0[64, 256]
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blk.1.attn_k.weightQ8_0[64, 64]
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blk.1.attn_norm.weightF32[64]
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blk.1.attn_output.weightQ8_0[64, 64]
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blk.1.attn_q.weightQ8_0[64, 64]
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blk.1.attn_v.weightQ8_0[64, 64]
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blk.1.ffn_down.weightQ8_0[256, 64]
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blk.1.ffn_gate.weightQ8_0[64, 256]
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blk.1.ffn_norm.weightF32[64]
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blk.1.ffn_up.weightQ8_0[64, 256]
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blk.2.attn_k.weightQ8_0[64, 64]
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blk.2.attn_norm.weightF32[64]
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blk.2.attn_output.weightQ8_0[64, 64]
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blk.2.attn_q.weightQ8_0[64, 64]
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blk.2.attn_v.weightQ8_0[64, 64]
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blk.2.ffn_down.weightQ8_0[256, 64]
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blk.2.ffn_gate.weightQ8_0[64, 256]
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blk.2.ffn_norm.weightF32[64]
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blk.2.ffn_up.weightQ8_0[64, 256]
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blk.3.attn_k.weightQ8_0[64, 64]
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blk.3.attn_norm.weightF32[64]
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blk.3.attn_output.weightQ8_0[64, 64]
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blk.3.attn_q.weightQ8_0[64, 64]
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blk.3.attn_v.weightQ8_0[64, 64]
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blk.3.ffn_down.weightQ8_0[256, 64]
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blk.3.ffn_gate.weightQ8_0[64, 256]
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blk.3.ffn_norm.weightF32[64]
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blk.3.ffn_up.weightQ8_0[64, 256]
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blk.4.attn_k.weightQ8_0[64, 64]
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blk.4.attn_norm.weightF32[64]
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blk.4.attn_output.weightQ8_0[64, 64]
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blk.4.attn_q.weightQ8_0[64, 64]
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blk.4.attn_v.weightQ8_0[64, 64]
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blk.4.ffn_down.weightQ8_0[256, 64]
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blk.4.ffn_gate.weightQ8_0[64, 256]
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blk.4.ffn_norm.weightF32[64]
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blk.4.ffn_up.weightQ8_0[64, 256]
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blk.5.attn_k.weightQ8_0[64, 64]
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blk.5.attn_norm.weightF32[64]
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blk.5.attn_output.weightQ8_0[64, 64]
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blk.5.attn_q.weightQ8_0[64, 64]
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blk.5.attn_v.weightQ8_0[64, 64]
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blk.5.ffn_down.weightQ8_0[256, 64]
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blk.5.ffn_gate.weightQ8_0[64, 256]
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blk.5.ffn_norm.weightF32[64]
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blk.5.ffn_up.weightQ8_0[64, 256]
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blk.6.attn_k.weightQ8_0[64, 64]
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blk.6.attn_norm.weightF32[64]
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blk.6.attn_output.weightQ8_0[64, 64]
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blk.6.attn_q.weightQ8_0[64, 64]
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blk.6.attn_v.weightQ8_0[64, 64]
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blk.6.ffn_down.weightQ8_0[256, 64]
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blk.6.ffn_gate.weightQ8_0[64, 256]
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blk.6.ffn_norm.weightF32[64]
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blk.6.ffn_up.weightQ8_0[64, 256]
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blk.7.attn_k.weightQ8_0[64, 64]
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blk.7.attn_norm.weightF32[64]
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blk.7.attn_output.weightQ8_0[64, 64]
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blk.7.attn_q.weightQ8_0[64, 64]
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blk.7.attn_v.weightQ8_0[64, 64]
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blk.7.ffn_down.weightQ8_0[256, 64]
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blk.7.ffn_gate.weightQ8_0[64, 256]
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blk.7.ffn_norm.weightF32[64]
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blk.7.ffn_up.weightQ8_0[64, 256]
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output.weightQ8_0[64, 32000]
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output_norm.weightF32[64]
Metadata
Tensor
blk.0
blk.1
blk.2
blk.3
blk.4
blk.5
blk.6
blk.7