A high-performing model trained with a new technique called Reflection-tuning that teaches a LLM to detect mistakes in its reasoning and correct course.
70b
97.4K Pulls Updated 2 months ago
7db55972654f · 40GB
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general.architecturellama
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general.base_model.0.nameMeta Llama 3.1 70B Instruct
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general.base_model.0.organizationMeta Llama
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general.base_model.0.repo_urlhttps://huggingface.co/meta-llama/Meta-Llama-3.1-70B-Instruct
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general.base_model.count1
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general.basenameMeta-Llama-3.1
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general.file_type2
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general.finetuneInstruct
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general.licensellama3.1
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general.nameMeta Llama 3.1 70B Instruct
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general.organizationMeta Llama
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general.quantization_version2
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general.size_label70B
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general.tags[text-generation]
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general.typemodel
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llama.attention.head_count64
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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_count80
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llama.context_length131072
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llama.embedding_length8192
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llama.feed_forward_length28672
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llama.rope.dimension_count128
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llama.rope.freq_base500000
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llama.vocab_size128262
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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.padding_token_id128009
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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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blk.70.attn_v.weightQ4_0[8192, 1024]
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blk.70.ffn_down.weightQ4_0[28672, 8192]
-
blk.70.ffn_gate.weightQ4_0[8192, 28672]
-
blk.70.ffn_norm.weightF32[8192]
-
blk.70.ffn_up.weightQ4_0[8192, 28672]
-
blk.71.attn_k.weightQ4_0[8192, 1024]
-
blk.71.attn_norm.weightF32[8192]
-
blk.71.attn_output.weightQ4_0[8192, 8192]
-
blk.71.attn_q.weightQ4_0[8192, 8192]
-
blk.71.attn_v.weightQ4_0[8192, 1024]
-
blk.71.ffn_down.weightQ4_0[28672, 8192]
-
blk.71.ffn_gate.weightQ4_0[8192, 28672]
-
blk.71.ffn_norm.weightF32[8192]
-
blk.71.ffn_up.weightQ4_0[8192, 28672]
-
blk.72.attn_k.weightQ4_0[8192, 1024]
-
blk.72.attn_norm.weightF32[8192]
-
blk.72.attn_output.weightQ4_0[8192, 8192]
-
blk.72.attn_q.weightQ4_0[8192, 8192]
-
blk.72.attn_v.weightQ4_0[8192, 1024]
-
blk.72.ffn_down.weightQ4_0[28672, 8192]
-
blk.72.ffn_gate.weightQ4_0[8192, 28672]
-
blk.72.ffn_norm.weightF32[8192]
-
blk.72.ffn_up.weightQ4_0[8192, 28672]
-
blk.73.attn_k.weightQ4_0[8192, 1024]
-
blk.73.attn_norm.weightF32[8192]
-
blk.73.attn_output.weightQ4_0[8192, 8192]
-
blk.73.attn_q.weightQ4_0[8192, 8192]
-
blk.73.attn_v.weightQ4_0[8192, 1024]
-
blk.73.ffn_down.weightQ4_0[28672, 8192]
-
blk.73.ffn_gate.weightQ4_0[8192, 28672]
-
blk.73.ffn_norm.weightF32[8192]
-
blk.73.ffn_up.weightQ4_0[8192, 28672]
-
blk.74.attn_k.weightQ4_0[8192, 1024]
-
blk.74.attn_norm.weightF32[8192]
-
blk.74.attn_output.weightQ4_0[8192, 8192]
-
blk.74.attn_q.weightQ4_0[8192, 8192]
-
blk.74.attn_v.weightQ4_0[8192, 1024]
-
blk.74.ffn_down.weightQ4_0[28672, 8192]
-
blk.74.ffn_gate.weightQ4_0[8192, 28672]
-
blk.74.ffn_norm.weightF32[8192]
-
blk.74.ffn_up.weightQ4_0[8192, 28672]
-
blk.75.attn_k.weightQ4_0[8192, 1024]
-
blk.75.attn_norm.weightF32[8192]
-
blk.75.attn_output.weightQ4_0[8192, 8192]
-
blk.75.attn_q.weightQ4_0[8192, 8192]
-
blk.75.attn_v.weightQ4_0[8192, 1024]
-
blk.75.ffn_down.weightQ4_0[28672, 8192]
-
blk.75.ffn_gate.weightQ4_0[8192, 28672]
-
blk.75.ffn_norm.weightF32[8192]
-
blk.75.ffn_up.weightQ4_0[8192, 28672]
-
blk.76.attn_k.weightQ4_0[8192, 1024]
-
blk.76.attn_norm.weightF32[8192]
-
blk.76.attn_output.weightQ4_0[8192, 8192]
-
blk.76.attn_q.weightQ4_0[8192, 8192]
-
blk.76.attn_v.weightQ4_0[8192, 1024]
-
blk.76.ffn_down.weightQ4_0[28672, 8192]
-
blk.76.ffn_gate.weightQ4_0[8192, 28672]
-
blk.76.ffn_norm.weightF32[8192]
-
blk.76.ffn_up.weightQ4_0[8192, 28672]
-
blk.77.attn_k.weightQ4_0[8192, 1024]
-
blk.77.attn_norm.weightF32[8192]
-
blk.77.attn_output.weightQ4_0[8192, 8192]
-
blk.77.attn_q.weightQ4_0[8192, 8192]
-
blk.77.attn_v.weightQ4_0[8192, 1024]
-
blk.77.ffn_down.weightQ4_0[28672, 8192]
-
blk.77.ffn_gate.weightQ4_0[8192, 28672]
-
blk.77.ffn_norm.weightF32[8192]
-
blk.77.ffn_up.weightQ4_0[8192, 28672]
-
blk.78.attn_k.weightQ4_0[8192, 1024]
-
blk.78.attn_norm.weightF32[8192]
-
blk.78.attn_output.weightQ4_0[8192, 8192]
-
blk.78.attn_q.weightQ4_0[8192, 8192]
-
blk.78.attn_v.weightQ4_0[8192, 1024]
-
blk.78.ffn_down.weightQ4_0[28672, 8192]
-
blk.78.ffn_gate.weightQ4_0[8192, 28672]
-
blk.78.ffn_norm.weightF32[8192]
-
blk.78.ffn_up.weightQ4_0[8192, 28672]
-
blk.79.attn_k.weightQ4_0[8192, 1024]
-
blk.79.attn_norm.weightF32[8192]
-
blk.79.attn_output.weightQ4_0[8192, 8192]
-
blk.79.attn_q.weightQ4_0[8192, 8192]
-
blk.79.attn_v.weightQ4_0[8192, 1024]
-
blk.79.ffn_down.weightQ4_0[28672, 8192]
-
blk.79.ffn_gate.weightQ4_0[8192, 28672]
-
blk.79.ffn_norm.weightF32[8192]
-
blk.79.ffn_up.weightQ4_0[8192, 28672]
-
output.weightQ6_K[8192, 128262]
-
rope_freqs.weightF32[64]
-
output_norm.weightF32[8192]
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