Llama 3.1 is a new state-of-the-art model from Meta available in 8B, 70B and 405B parameter sizes.
tools
8b
70b
405b
10.9M Pulls Updated 2 months ago
08c43be7beb3 · 812GB
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general.architecturellama
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general.basenameMeta-Llama-3.1
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general.file_type1
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general.finetune.
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general.languages[en, de, fr, it, pt, ...]
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general.licensellama3.1
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general.name.
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general.quantization_version2
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general.size_label405B
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general.tags[facebook, meta, pytorch, llama, llama-3, ...]
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general.typemodel
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llama.attention.head_count128
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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_count126
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llama.context_length131072
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llama.embedding_length16384
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llama.feed_forward_length53248
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llama.rope.dimension_count128
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llama.rope.freq_base500000
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llama.vocab_size128256
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tokenizer.ggml.bos_token_id128000
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tokenizer.ggml.eos_token_id128009
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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.prellama-bpe
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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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blk.115.attn_k.weightF16[16384, 1024]
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blk.115.attn_norm.weightF32[16384]
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blk.115.attn_output.weightF16[16384, 16384]
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blk.115.attn_q.weightF16[16384, 16384]
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blk.115.attn_v.weightF16[16384, 1024]
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blk.115.ffn_down.weightF16[53248, 16384]
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blk.115.ffn_gate.weightF16[16384, 53248]
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blk.115.ffn_norm.weightF32[16384]
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blk.115.ffn_up.weightF16[16384, 53248]
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blk.116.attn_k.weightF16[16384, 1024]
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blk.116.attn_norm.weightF32[16384]
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blk.116.attn_output.weightF16[16384, 16384]
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blk.116.attn_q.weightF16[16384, 16384]
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blk.116.attn_v.weightF16[16384, 1024]
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blk.116.ffn_down.weightF16[53248, 16384]
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blk.116.ffn_gate.weightF16[16384, 53248]
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blk.116.ffn_norm.weightF32[16384]
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blk.116.ffn_up.weightF16[16384, 53248]
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blk.117.attn_k.weightF16[16384, 1024]
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blk.117.attn_norm.weightF32[16384]
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blk.117.attn_output.weightF16[16384, 16384]
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blk.117.attn_q.weightF16[16384, 16384]
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blk.117.attn_v.weightF16[16384, 1024]
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blk.117.ffn_down.weightF16[53248, 16384]
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blk.117.ffn_gate.weightF16[16384, 53248]
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blk.117.ffn_norm.weightF32[16384]
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blk.117.ffn_up.weightF16[16384, 53248]
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blk.118.attn_k.weightF16[16384, 1024]
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blk.118.attn_norm.weightF32[16384]
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blk.118.attn_output.weightF16[16384, 16384]
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blk.118.attn_q.weightF16[16384, 16384]
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blk.118.attn_v.weightF16[16384, 1024]
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blk.118.ffn_down.weightF16[53248, 16384]
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blk.118.ffn_gate.weightF16[16384, 53248]
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blk.118.ffn_norm.weightF32[16384]
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blk.118.ffn_up.weightF16[16384, 53248]
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blk.119.attn_k.weightF16[16384, 1024]
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blk.119.attn_norm.weightF32[16384]
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blk.119.attn_output.weightF16[16384, 16384]
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blk.119.attn_q.weightF16[16384, 16384]
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blk.119.attn_v.weightF16[16384, 1024]
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blk.119.ffn_down.weightF16[53248, 16384]
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blk.119.ffn_gate.weightF16[16384, 53248]
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blk.119.ffn_norm.weightF32[16384]
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blk.119.ffn_up.weightF16[16384, 53248]
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blk.120.attn_k.weightF16[16384, 1024]
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blk.120.attn_norm.weightF32[16384]
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blk.120.attn_output.weightF16[16384, 16384]
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blk.120.attn_q.weightF16[16384, 16384]
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blk.120.attn_v.weightF16[16384, 1024]
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blk.120.ffn_down.weightF16[53248, 16384]
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blk.120.ffn_gate.weightF16[16384, 53248]
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blk.120.ffn_norm.weightF32[16384]
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blk.120.ffn_up.weightF16[16384, 53248]
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blk.121.attn_k.weightF16[16384, 1024]
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blk.121.attn_norm.weightF32[16384]
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blk.121.attn_output.weightF16[16384, 16384]
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blk.121.attn_q.weightF16[16384, 16384]
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blk.121.attn_v.weightF16[16384, 1024]
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blk.121.ffn_down.weightF16[53248, 16384]
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blk.121.ffn_gate.weightF16[16384, 53248]
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blk.121.ffn_norm.weightF32[16384]
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blk.121.ffn_up.weightF16[16384, 53248]
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blk.122.attn_k.weightF16[16384, 1024]
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blk.122.attn_norm.weightF32[16384]
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blk.122.attn_output.weightF16[16384, 16384]
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blk.122.attn_q.weightF16[16384, 16384]
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blk.122.attn_v.weightF16[16384, 1024]
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blk.122.ffn_down.weightF16[53248, 16384]
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blk.122.ffn_gate.weightF16[16384, 53248]
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blk.122.ffn_norm.weightF32[16384]
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blk.122.ffn_up.weightF16[16384, 53248]
-
blk.123.attn_k.weightF16[16384, 1024]
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blk.123.attn_norm.weightF32[16384]
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blk.123.attn_output.weightF16[16384, 16384]
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blk.123.attn_q.weightF16[16384, 16384]
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blk.123.attn_v.weightF16[16384, 1024]
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blk.123.ffn_down.weightF16[53248, 16384]
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blk.123.ffn_gate.weightF16[16384, 53248]
-
blk.123.ffn_norm.weightF32[16384]
-
blk.123.ffn_up.weightF16[16384, 53248]
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blk.124.attn_k.weightF16[16384, 1024]
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blk.124.attn_norm.weightF32[16384]
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blk.124.attn_output.weightF16[16384, 16384]
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blk.124.attn_q.weightF16[16384, 16384]
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blk.124.attn_v.weightF16[16384, 1024]
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blk.124.ffn_down.weightF16[53248, 16384]
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blk.124.ffn_gate.weightF16[16384, 53248]
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blk.124.ffn_norm.weightF32[16384]
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blk.124.ffn_up.weightF16[16384, 53248]
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blk.125.attn_k.weightF16[16384, 1024]
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blk.125.attn_norm.weightF32[16384]
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blk.125.attn_output.weightF16[16384, 16384]
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blk.125.attn_q.weightF16[16384, 16384]
-
blk.125.attn_v.weightF16[16384, 1024]
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blk.125.ffn_down.weightF16[53248, 16384]
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blk.125.ffn_gate.weightF16[16384, 53248]
-
blk.125.ffn_norm.weightF32[16384]
-
blk.125.ffn_up.weightF16[16384, 53248]
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output.weightF16[16384, 128256]
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rope_freqs.weightF32[64]
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output_norm.weightF32[16384]
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
blk.60
blk.61
blk.62
blk.63
blk.64
blk.65
blk.66
blk.67
blk.68
blk.69
blk.70
blk.71
blk.72
blk.73
blk.74
blk.75
blk.76
blk.77
blk.78
blk.79
blk.80
blk.81
blk.82
blk.83
blk.84
blk.85
blk.86
blk.87
blk.88
blk.89
blk.90
blk.91
blk.92
blk.93
blk.94
blk.95
blk.96
blk.97
blk.98
blk.99
blk.100
blk.101
blk.102
blk.103
blk.104
blk.105
blk.106
blk.107
blk.108
blk.109
blk.110
blk.111
blk.112
blk.113
blk.114
blk.115
blk.116
blk.117
blk.118
blk.119
blk.120
blk.121
blk.122
blk.123
blk.124
blk.125