Llama 2 based model fine tuned to improve Chinese dialogue ability.
7b
13b
139.3K Pulls Updated 13 months ago
a13dd74f41c7 · 9.0GB
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general.architecturellama
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general.file_type16
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general.nameLLaMA v2
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general.quantization_version2
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llama.attention.head_count40
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llama.attention.head_count_kv40
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llama.attention.layer_norm_rms_epsilon1e-05
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llama.block_count40
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llama.context_length4096
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llama.embedding_length5120
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llama.feed_forward_length13824
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llama.rope.dimension_count128
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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, 6, 6, ...]
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tokenizer.ggml.tokens[<unk>, <s>, </s>, <0x00>, <0x01>, ...]
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NameTypeShape
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blk.34.ffn_gate.weightQ5_K[5120, 13824]
-
blk.34.ffn_norm.weightF32[5120]
-
blk.34.ffn_up.weightQ5_K[5120, 13824]
-
blk.35.attn_k.weightQ5_K[5120, 5120]
-
blk.35.attn_norm.weightF32[5120]
-
blk.35.attn_output.weightQ5_K[5120, 5120]
-
blk.35.attn_q.weightQ5_K[5120, 5120]
-
blk.35.attn_v.weightQ5_K[5120, 5120]
-
blk.35.ffn_down.weightQ5_K[13824, 5120]
-
blk.35.ffn_gate.weightQ5_K[5120, 13824]
-
blk.35.ffn_norm.weightF32[5120]
-
blk.35.ffn_up.weightQ5_K[5120, 13824]
-
blk.36.attn_k.weightQ5_K[5120, 5120]
-
blk.36.attn_norm.weightF32[5120]
-
blk.36.attn_output.weightQ5_K[5120, 5120]
-
blk.36.attn_q.weightQ5_K[5120, 5120]
-
blk.36.attn_v.weightQ5_K[5120, 5120]
-
blk.36.ffn_down.weightQ5_K[13824, 5120]
-
blk.36.ffn_gate.weightQ5_K[5120, 13824]
-
blk.36.ffn_norm.weightF32[5120]
-
blk.36.ffn_up.weightQ5_K[5120, 13824]
-
blk.37.attn_k.weightQ5_K[5120, 5120]
-
blk.37.attn_norm.weightF32[5120]
-
blk.37.attn_output.weightQ5_K[5120, 5120]
-
blk.37.attn_q.weightQ5_K[5120, 5120]
-
blk.37.attn_v.weightQ5_K[5120, 5120]
-
blk.37.ffn_down.weightQ5_K[13824, 5120]
-
blk.37.ffn_gate.weightQ5_K[5120, 13824]
-
blk.37.ffn_norm.weightF32[5120]
-
blk.37.ffn_up.weightQ5_K[5120, 13824]
-
blk.38.attn_k.weightQ5_K[5120, 5120]
-
blk.38.attn_norm.weightF32[5120]
-
blk.38.attn_output.weightQ5_K[5120, 5120]
-
blk.38.attn_q.weightQ5_K[5120, 5120]
-
blk.38.attn_v.weightQ5_K[5120, 5120]
-
blk.38.ffn_down.weightQ5_K[13824, 5120]
-
blk.38.ffn_gate.weightQ5_K[5120, 13824]
-
blk.38.ffn_norm.weightF32[5120]
-
blk.38.ffn_up.weightQ5_K[5120, 13824]
-
blk.39.attn_k.weightQ5_K[5120, 5120]
-
blk.39.attn_norm.weightF32[5120]
-
blk.39.attn_output.weightQ5_K[5120, 5120]
-
blk.39.attn_q.weightQ5_K[5120, 5120]
-
blk.39.attn_v.weightQ5_K[5120, 5120]
-
blk.39.ffn_down.weightQ5_K[13824, 5120]
-
blk.39.ffn_gate.weightQ5_K[5120, 13824]
-
blk.39.ffn_norm.weightF32[5120]
-
blk.39.ffn_up.weightQ5_K[5120, 13824]
-
output.weightQ6_K[5120, 32000]
-
output_norm.weightF32[5120]
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