A series of conversational large language models optimized for Chinese and English
4b
9b
34b
310 Pulls Updated 5 months ago
a7cc59a9bb61 · 5.1GB
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general.architecturellama
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general.file_type14
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general.namemodel
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general.quantization_version2
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llama.attention.head_count32
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llama.attention.head_count_kv4
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llama.attention.layer_norm_rms_epsilon1e-06
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llama.block_count48
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llama.context_length4096
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llama.embedding_length4096
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llama.feed_forward_length11008
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llama.rope.dimension_count128
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llama.rope.freq_base5e+06
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llama.vocab_size64000
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tokenizer.ggml.add_bos_tokenfalse
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tokenizer.ggml.add_eos_tokenfalse
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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.predefault
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tokenizer.ggml.scores[0, 0, 0, 0, 0, ...]
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tokenizer.ggml.token_type[2, 3, 3, 3, 3, ...]
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tokenizer.ggml.tokens[<unk>, <|startoftext|>, <|endoftext|>, <|Human|>, <|Assistant|>, ...]
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tokenizer.ggml.unknown_token_id0
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NameTypeShape
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blk.34.ffn_down.weightQ4_K[11008, 4096]
-
blk.34.ffn_gate.weightQ4_K[4096, 11008]
-
blk.34.ffn_norm.weightF32[4096]
-
blk.34.ffn_up.weightQ4_K[4096, 11008]
-
blk.35.attn_k.weightQ4_K[4096, 512]
-
blk.35.attn_norm.weightF32[4096]
-
blk.35.attn_output.weightQ4_K[4096, 4096]
-
blk.35.attn_q.weightQ4_K[4096, 4096]
-
blk.35.attn_v.weightQ4_K[4096, 512]
-
blk.35.ffn_down.weightQ4_K[11008, 4096]
-
blk.35.ffn_gate.weightQ4_K[4096, 11008]
-
blk.35.ffn_norm.weightF32[4096]
-
blk.35.ffn_up.weightQ4_K[4096, 11008]
-
blk.36.attn_k.weightQ4_K[4096, 512]
-
blk.36.attn_norm.weightF32[4096]
-
blk.36.attn_output.weightQ4_K[4096, 4096]
-
blk.36.attn_q.weightQ4_K[4096, 4096]
-
blk.36.attn_v.weightQ4_K[4096, 512]
-
blk.36.ffn_down.weightQ4_K[11008, 4096]
-
blk.36.ffn_gate.weightQ4_K[4096, 11008]
-
blk.36.ffn_norm.weightF32[4096]
-
blk.36.ffn_up.weightQ4_K[4096, 11008]
-
blk.37.attn_k.weightQ4_K[4096, 512]
-
blk.37.attn_norm.weightF32[4096]
-
blk.37.attn_output.weightQ4_K[4096, 4096]
-
blk.37.attn_q.weightQ4_K[4096, 4096]
-
blk.37.attn_v.weightQ4_K[4096, 512]
-
blk.37.ffn_down.weightQ4_K[11008, 4096]
-
blk.37.ffn_gate.weightQ4_K[4096, 11008]
-
blk.37.ffn_norm.weightF32[4096]
-
blk.37.ffn_up.weightQ4_K[4096, 11008]
-
blk.38.attn_k.weightQ4_K[4096, 512]
-
blk.38.attn_norm.weightF32[4096]
-
blk.38.attn_output.weightQ4_K[4096, 4096]
-
blk.38.attn_q.weightQ4_K[4096, 4096]
-
blk.38.attn_v.weightQ4_K[4096, 512]
-
blk.38.ffn_down.weightQ4_K[11008, 4096]
-
blk.38.ffn_gate.weightQ4_K[4096, 11008]
-
blk.38.ffn_norm.weightF32[4096]
-
blk.38.ffn_up.weightQ4_K[4096, 11008]
-
blk.39.attn_k.weightQ4_K[4096, 512]
-
blk.39.attn_norm.weightF32[4096]
-
blk.39.attn_output.weightQ4_K[4096, 4096]
-
blk.39.attn_q.weightQ4_K[4096, 4096]
-
blk.39.attn_v.weightQ4_K[4096, 512]
-
blk.39.ffn_down.weightQ4_K[11008, 4096]
-
blk.39.ffn_gate.weightQ4_K[4096, 11008]
-
blk.39.ffn_norm.weightF32[4096]
-
blk.39.ffn_up.weightQ4_K[4096, 11008]
-
blk.40.attn_k.weightQ4_K[4096, 512]
-
blk.40.attn_norm.weightF32[4096]
-
blk.40.attn_output.weightQ4_K[4096, 4096]
-
blk.40.attn_q.weightQ4_K[4096, 4096]
-
blk.40.attn_v.weightQ4_K[4096, 512]
-
blk.40.ffn_down.weightQ4_K[11008, 4096]
-
blk.40.ffn_gate.weightQ4_K[4096, 11008]
-
blk.40.ffn_norm.weightF32[4096]
-
blk.40.ffn_up.weightQ4_K[4096, 11008]
-
blk.41.attn_k.weightQ4_K[4096, 512]
-
blk.41.attn_norm.weightF32[4096]
-
blk.41.attn_output.weightQ4_K[4096, 4096]
-
blk.41.attn_q.weightQ4_K[4096, 4096]
-
blk.41.attn_v.weightQ4_K[4096, 512]
-
blk.41.ffn_down.weightQ4_K[11008, 4096]
-
blk.41.ffn_gate.weightQ4_K[4096, 11008]
-
blk.41.ffn_norm.weightF32[4096]
-
blk.41.ffn_up.weightQ4_K[4096, 11008]
-
blk.42.attn_k.weightQ4_K[4096, 512]
-
blk.42.attn_norm.weightF32[4096]
-
blk.42.attn_output.weightQ4_K[4096, 4096]
-
blk.42.attn_q.weightQ4_K[4096, 4096]
-
blk.42.attn_v.weightQ4_K[4096, 512]
-
blk.42.ffn_down.weightQ4_K[11008, 4096]
-
blk.42.ffn_gate.weightQ4_K[4096, 11008]
-
blk.42.ffn_norm.weightF32[4096]
-
blk.42.ffn_up.weightQ4_K[4096, 11008]
-
blk.43.attn_k.weightQ4_K[4096, 512]
-
blk.43.attn_norm.weightF32[4096]
-
blk.43.attn_output.weightQ4_K[4096, 4096]
-
blk.43.attn_q.weightQ4_K[4096, 4096]
-
blk.43.attn_v.weightQ4_K[4096, 512]
-
blk.43.ffn_down.weightQ4_K[11008, 4096]
-
blk.43.ffn_gate.weightQ4_K[4096, 11008]
-
blk.43.ffn_norm.weightF32[4096]
-
blk.43.ffn_up.weightQ4_K[4096, 11008]
-
blk.44.attn_k.weightQ4_K[4096, 512]
-
blk.44.attn_norm.weightF32[4096]
-
blk.44.attn_output.weightQ4_K[4096, 4096]
-
blk.44.attn_q.weightQ4_K[4096, 4096]
-
blk.44.attn_v.weightQ4_K[4096, 512]
-
blk.44.ffn_down.weightQ4_K[11008, 4096]
-
blk.44.ffn_gate.weightQ4_K[4096, 11008]
-
blk.44.ffn_norm.weightF32[4096]
-
blk.44.ffn_up.weightQ4_K[4096, 11008]
-
blk.45.attn_k.weightQ4_K[4096, 512]
-
blk.45.attn_norm.weightF32[4096]
-
blk.45.attn_output.weightQ4_K[4096, 4096]
-
blk.45.attn_q.weightQ4_K[4096, 4096]
-
blk.45.attn_v.weightQ4_K[4096, 512]
-
blk.45.ffn_down.weightQ4_K[11008, 4096]
-
blk.45.ffn_gate.weightQ4_K[4096, 11008]
-
blk.45.ffn_norm.weightF32[4096]
-
blk.45.ffn_up.weightQ4_K[4096, 11008]
-
blk.46.attn_k.weightQ4_K[4096, 512]
-
blk.46.attn_norm.weightF32[4096]
-
blk.46.attn_output.weightQ4_K[4096, 4096]
-
blk.46.attn_q.weightQ4_K[4096, 4096]
-
blk.46.attn_v.weightQ4_K[4096, 512]
-
blk.46.ffn_down.weightQ4_K[11008, 4096]
-
blk.46.ffn_gate.weightQ4_K[4096, 11008]
-
blk.46.ffn_norm.weightF32[4096]
-
blk.46.ffn_up.weightQ4_K[4096, 11008]
-
blk.47.attn_k.weightQ4_K[4096, 512]
-
blk.47.attn_norm.weightF32[4096]
-
blk.47.attn_output.weightQ4_K[4096, 4096]
-
blk.47.attn_q.weightQ4_K[4096, 4096]
-
blk.47.attn_v.weightQ4_K[4096, 512]
-
blk.47.ffn_down.weightQ4_K[11008, 4096]
-
blk.47.ffn_gate.weightQ4_K[4096, 11008]
-
blk.47.ffn_norm.weightF32[4096]
-
blk.47.ffn_up.weightQ4_K[4096, 11008]
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output.weightQ6_K[4096, 64000]
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output_norm.weightF32[4096]
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