Embedding-only model from Nomic AI
embedding
96 Pulls Updated 9 months ago
9b335d0801ad · 113MB
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general.architecturenomic-bert
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general.file_type18
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general.namenomic-embed-text-v1.5
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general.quantization_version2
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nomic-bert.attention.causalfalse
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nomic-bert.attention.head_count12
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nomic-bert.attention.layer_norm_epsilon1e-12
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nomic-bert.block_count12
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nomic-bert.context_length2048
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nomic-bert.embedding_length768
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nomic-bert.feed_forward_length3072
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nomic-bert.pooling_type1
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nomic-bert.rope.freq_base1000
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tokenizer.ggml.bos_token_id101
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tokenizer.ggml.eos_token_id102
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tokenizer.ggml.modelbert
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tokenizer.ggml.padding_token_id0
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tokenizer.ggml.scores[-1000, -1000, -1000, -1000, -1000, ...]
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tokenizer.ggml.seperator_token_id102
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tokenizer.ggml.token_type[3, 1, 1, 1, 1, ...]
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tokenizer.ggml.token_type_count2
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tokenizer.ggml.tokens[[PAD], [unused0], [unused1], [unused2], [unused3], ...]
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tokenizer.ggml.unknown_token_id100
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NameTypeShape
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token_embd.weightQ6_K[768, 30522]
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blk.0.attn_output.weightQ6_K[768, 768]
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blk.0.attn_output_norm.biasF32[768]
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blk.0.attn_output_norm.weightF32[768]
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blk.0.attn_qkv.weightQ6_K[768, 2304]
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blk.0.ffn_down.weightQ6_K[3072, 768]
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blk.0.ffn_gate.weightQ6_K[768, 3072]
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blk.0.ffn_up.weightQ6_K[768, 3072]
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blk.0.layer_output_norm.biasF32[768]
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blk.0.layer_output_norm.weightF32[768]
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blk.1.attn_output.weightQ6_K[768, 768]
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blk.1.attn_output_norm.biasF32[768]
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blk.1.attn_output_norm.weightF32[768]
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blk.1.attn_qkv.weightQ6_K[768, 2304]
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blk.1.ffn_down.weightQ6_K[3072, 768]
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blk.1.ffn_gate.weightQ6_K[768, 3072]
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blk.1.ffn_up.weightQ6_K[768, 3072]
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blk.1.layer_output_norm.biasF32[768]
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blk.1.layer_output_norm.weightF32[768]
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blk.2.attn_output.weightQ6_K[768, 768]
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blk.2.attn_output_norm.biasF32[768]
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blk.2.attn_output_norm.weightF32[768]
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blk.2.attn_qkv.weightQ6_K[768, 2304]
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blk.2.ffn_down.weightQ6_K[3072, 768]
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blk.2.ffn_gate.weightQ6_K[768, 3072]
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blk.2.ffn_up.weightQ6_K[768, 3072]
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blk.2.layer_output_norm.biasF32[768]
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blk.2.layer_output_norm.weightF32[768]
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blk.3.attn_output.weightQ6_K[768, 768]
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blk.3.attn_output_norm.biasF32[768]
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blk.3.attn_output_norm.weightF32[768]
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blk.3.attn_qkv.weightQ6_K[768, 2304]
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blk.3.ffn_down.weightQ6_K[3072, 768]
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blk.3.ffn_gate.weightQ6_K[768, 3072]
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blk.3.ffn_up.weightQ6_K[768, 3072]
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blk.3.layer_output_norm.biasF32[768]
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blk.3.layer_output_norm.weightF32[768]
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blk.4.attn_output.weightQ6_K[768, 768]
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blk.4.attn_output_norm.biasF32[768]
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blk.4.attn_output_norm.weightF32[768]
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blk.4.attn_qkv.weightQ6_K[768, 2304]
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blk.4.ffn_down.weightQ6_K[3072, 768]
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blk.4.ffn_gate.weightQ6_K[768, 3072]
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blk.4.ffn_up.weightQ6_K[768, 3072]
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blk.4.layer_output_norm.biasF32[768]
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blk.4.layer_output_norm.weightF32[768]
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blk.5.attn_output.weightQ6_K[768, 768]
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blk.5.attn_output_norm.biasF32[768]
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blk.5.attn_output_norm.weightF32[768]
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blk.5.attn_qkv.weightQ6_K[768, 2304]
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blk.5.ffn_down.weightQ6_K[3072, 768]
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blk.5.ffn_gate.weightQ6_K[768, 3072]
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blk.5.ffn_up.weightQ6_K[768, 3072]
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blk.5.layer_output_norm.biasF32[768]
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blk.5.layer_output_norm.weightF32[768]
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blk.6.attn_output.weightQ6_K[768, 768]
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blk.6.attn_output_norm.biasF32[768]
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blk.6.attn_output_norm.weightF32[768]
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blk.6.attn_qkv.weightQ6_K[768, 2304]
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blk.6.ffn_down.weightQ6_K[3072, 768]
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blk.6.ffn_gate.weightQ6_K[768, 3072]
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blk.6.ffn_up.weightQ6_K[768, 3072]
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blk.6.layer_output_norm.biasF32[768]
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blk.6.layer_output_norm.weightF32[768]
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blk.7.attn_output.weightQ6_K[768, 768]
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blk.7.attn_output_norm.biasF32[768]
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blk.7.attn_output_norm.weightF32[768]
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blk.7.attn_qkv.weightQ6_K[768, 2304]
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blk.7.ffn_down.weightQ6_K[3072, 768]
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blk.7.ffn_gate.weightQ6_K[768, 3072]
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blk.7.ffn_up.weightQ6_K[768, 3072]
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blk.7.layer_output_norm.biasF32[768]
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blk.7.layer_output_norm.weightF32[768]
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blk.8.attn_output.weightQ6_K[768, 768]
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blk.8.attn_output_norm.biasF32[768]
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blk.8.attn_output_norm.weightF32[768]
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blk.8.attn_qkv.weightQ6_K[768, 2304]
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blk.8.ffn_down.weightQ6_K[3072, 768]
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blk.8.ffn_gate.weightQ6_K[768, 3072]
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blk.8.ffn_up.weightQ6_K[768, 3072]
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blk.8.layer_output_norm.biasF32[768]
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blk.8.layer_output_norm.weightF32[768]
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blk.9.attn_output.weightQ6_K[768, 768]
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blk.9.attn_output_norm.biasF32[768]
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blk.9.attn_output_norm.weightF32[768]
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blk.9.attn_qkv.weightQ6_K[768, 2304]
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blk.9.ffn_down.weightQ6_K[3072, 768]
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blk.9.ffn_gate.weightQ6_K[768, 3072]
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blk.9.ffn_up.weightQ6_K[768, 3072]
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blk.9.layer_output_norm.biasF32[768]
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blk.9.layer_output_norm.weightF32[768]
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blk.10.attn_output.weightQ6_K[768, 768]
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blk.10.attn_output_norm.biasF32[768]
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blk.10.attn_output_norm.weightF32[768]
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blk.10.attn_qkv.weightQ6_K[768, 2304]
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blk.10.ffn_down.weightQ6_K[3072, 768]
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blk.10.ffn_gate.weightQ6_K[768, 3072]
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blk.10.ffn_up.weightQ6_K[768, 3072]
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blk.10.layer_output_norm.biasF32[768]
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blk.10.layer_output_norm.weightF32[768]
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blk.11.attn_output.weightQ6_K[768, 768]
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blk.11.attn_output_norm.biasF32[768]
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blk.11.attn_output_norm.weightF32[768]
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blk.11.attn_qkv.weightQ6_K[768, 2304]
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blk.11.ffn_down.weightQ6_K[3072, 768]
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blk.11.ffn_gate.weightQ6_K[768, 3072]
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blk.11.ffn_up.weightQ6_K[768, 3072]
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blk.11.layer_output_norm.biasF32[768]
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blk.11.layer_output_norm.weightF32[768]
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token_embd_norm.biasF32[768]
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token_embd_norm.weightF32[768]
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token_types.weightF32[768, 2]
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