Dolphin, Uncensored, trained on mistralai/Mistral-Nemo-Base-2407 (12b) 128k context
12b
1,979 Pulls Updated 4 months ago
6471cbcecabe · 8.7GB
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general.architecturellama
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general.basenameMistral-Nemo-Base
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general.file_type17
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general.namedolphin12b
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general.organizationMistralai
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general.quantization_version2
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general.size_label12B
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general.tags[generated_from_trainer]
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general.typemodel
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general.version2407
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llama.attention.head_count32
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llama.attention.head_count_kv8
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llama.attention.key_length128
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llama.attention.layer_norm_rms_epsilon1e-05
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llama.attention.value_length128
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llama.block_count40
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llama.context_length1024000
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llama.embedding_length5120
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llama.feed_forward_length14336
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llama.rope.dimension_count128
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llama.rope.freq_base1e+06
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llama.vocab_size131074
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tokenizer.ggml.add_space_prefixfalse
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tokenizer.ggml.bos_token_id1
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tokenizer.ggml.eos_token_id131072
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tokenizer.ggml.merges[Ġ Ġ, Ġ t, e r, i n, Ġ ĠĠĠ, ...]
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tokenizer.ggml.modelgpt2
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tokenizer.ggml.padding_token_id10
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tokenizer.ggml.predolphin12b
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tokenizer.ggml.token_type[3, 3, 3, 3, 3, ...]
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tokenizer.ggml.tokens[<unk>, <s>, </s>, [INST], [/INST], ...]
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tokenizer.ggml.unknown_token_id0
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NameTypeShape
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blk.34.attn_norm.weightF32[5120]
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blk.34.attn_output.weightQ5_K[4096, 5120]
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blk.34.attn_q.weightQ5_K[5120, 4096]
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blk.34.attn_v.weightQ6_K[5120, 1024]
-
blk.34.ffn_down.weightQ6_K[14336, 5120]
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blk.34.ffn_gate.weightQ5_K[5120, 14336]
-
blk.34.ffn_norm.weightF32[5120]
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blk.34.ffn_up.weightQ5_K[5120, 14336]
-
blk.35.attn_k.weightQ5_K[5120, 1024]
-
blk.35.attn_norm.weightF32[5120]
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blk.35.attn_output.weightQ5_K[4096, 5120]
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blk.35.attn_q.weightQ5_K[5120, 4096]
-
blk.35.attn_v.weightQ6_K[5120, 1024]
-
blk.35.ffn_down.weightQ6_K[14336, 5120]
-
blk.35.ffn_gate.weightQ5_K[5120, 14336]
-
blk.35.ffn_norm.weightF32[5120]
-
blk.35.ffn_up.weightQ5_K[5120, 14336]
-
blk.36.attn_k.weightQ5_K[5120, 1024]
-
blk.36.attn_norm.weightF32[5120]
-
blk.36.attn_output.weightQ5_K[4096, 5120]
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blk.36.attn_q.weightQ5_K[5120, 4096]
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blk.36.attn_v.weightQ6_K[5120, 1024]
-
blk.36.ffn_down.weightQ6_K[14336, 5120]
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blk.36.ffn_gate.weightQ5_K[5120, 14336]
-
blk.36.ffn_norm.weightF32[5120]
-
blk.36.ffn_up.weightQ5_K[5120, 14336]
-
blk.37.attn_k.weightQ5_K[5120, 1024]
-
blk.37.attn_norm.weightF32[5120]
-
blk.37.attn_output.weightQ5_K[4096, 5120]
-
blk.37.attn_q.weightQ5_K[5120, 4096]
-
blk.37.attn_v.weightQ6_K[5120, 1024]
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blk.37.ffn_down.weightQ6_K[14336, 5120]
-
blk.37.ffn_gate.weightQ5_K[5120, 14336]
-
blk.37.ffn_norm.weightF32[5120]
-
blk.37.ffn_up.weightQ5_K[5120, 14336]
-
blk.38.attn_k.weightQ5_K[5120, 1024]
-
blk.38.attn_norm.weightF32[5120]
-
blk.38.attn_output.weightQ5_K[4096, 5120]
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blk.38.attn_q.weightQ5_K[5120, 4096]
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blk.38.attn_v.weightQ6_K[5120, 1024]
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blk.38.ffn_down.weightQ6_K[14336, 5120]
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blk.38.ffn_gate.weightQ5_K[5120, 14336]
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blk.38.ffn_norm.weightF32[5120]
-
blk.38.ffn_up.weightQ5_K[5120, 14336]
-
blk.39.attn_k.weightQ5_K[5120, 1024]
-
blk.39.attn_norm.weightF32[5120]
-
blk.39.attn_output.weightQ5_K[4096, 5120]
-
blk.39.attn_q.weightQ5_K[5120, 4096]
-
blk.39.attn_v.weightQ6_K[5120, 1024]
-
blk.39.ffn_down.weightQ6_K[14336, 5120]
-
blk.39.ffn_gate.weightQ5_K[5120, 14336]
-
blk.39.ffn_norm.weightF32[5120]
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blk.39.ffn_up.weightQ5_K[5120, 14336]
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output.weightQ6_K[5120, 131074]
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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