Sentence-transformers model that can be used for tasks like clustering or semantic search.
embedding
278m
13K Pulls Updated 4 months ago
aa99ebfc77f4 · 563MB
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bert.attention.causalfalse
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bert.attention.head_count12
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bert.attention.layer_norm_epsilon1e-05
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bert.block_count12
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bert.context_length512
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bert.embedding_length768
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bert.feed_forward_length3072
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bert.pooling_type1
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general.architecturebert
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general.basenameparaphrase-multilingual-mpnet-base
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general.file_type1
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general.languages[multilingual, ar, bg, ca, cs, ...]
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general.licenseapache-2.0
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general.nameParaphrase Multilingual Mpnet Base v2
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general.quantization_version2
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general.size_label277M
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general.tags[sentence-transformers, feature-extraction, sentence-similarity, transformers, sentence-similarity]
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general.typemodel
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general.versionv2
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tokenizer.ggml.add_bos_tokentrue
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tokenizer.ggml.add_eos_tokentrue
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tokenizer.ggml.add_space_prefixtrue
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tokenizer.ggml.bos_token_id0
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tokenizer.ggml.cls_token_id0
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tokenizer.ggml.eos_token_id2
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tokenizer.ggml.mask_token_id250001
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tokenizer.ggml.modelt5
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tokenizer.ggml.padding_token_id1
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tokenizer.ggml.predefault
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tokenizer.ggml.precompiled_charsmap[0, 180, 2, 0, 0, ...]
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tokenizer.ggml.remove_extra_whitespacestrue
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tokenizer.ggml.scores[0, 0, 0, 0, -3.4635427, ...]
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tokenizer.ggml.seperator_token_id2
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tokenizer.ggml.token_type[3, 3, 3, 2, 1, ...]
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tokenizer.ggml.token_type_count1
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tokenizer.ggml.tokens[<s>, <pad>, </s>, <unk>, ,, ...]
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tokenizer.ggml.unknown_token_id3
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NameTypeShape
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token_embd.weightF16[768, 250002]
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blk.0.attn_k.biasF32[768]
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blk.0.attn_k.weightF16[768, 768]
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blk.0.attn_output.biasF32[768]
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blk.0.attn_output.weightF16[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_q.biasF32[768]
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blk.0.attn_q.weightF16[768, 768]
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blk.0.attn_v.biasF32[768]
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blk.0.attn_v.weightF16[768, 768]
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blk.0.ffn_down.biasF32[768]
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blk.0.ffn_down.weightF16[3072, 768]
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blk.0.ffn_up.biasF32[3072]
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blk.0.ffn_up.weightF16[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_k.biasF32[768]
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blk.1.attn_output.weightF16[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_q.biasF32[768]
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blk.1.attn_q.weightF16[768, 768]
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blk.1.attn_v.biasF32[768]
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blk.1.attn_v.weightF16[768, 768]
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blk.1.ffn_down.biasF32[768]
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blk.1.ffn_down.weightF16[3072, 768]
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blk.1.ffn_up.biasF32[3072]
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blk.1.ffn_up.weightF16[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_norm.biasF32[768]
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blk.2.attn_output_norm.weightF32[768]
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blk.2.attn_q.biasF32[768]
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blk.2.attn_q.weightF16[768, 768]
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blk.2.attn_v.biasF32[768]
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blk.2.attn_v.weightF16[768, 768]
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blk.2.ffn_down.biasF32[768]
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blk.2.ffn_down.weightF16[3072, 768]
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blk.2.ffn_up.biasF32[3072]
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blk.2.ffn_up.weightF16[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_k.weightF16[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_q.biasF32[768]
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blk.3.attn_q.weightF16[768, 768]
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blk.3.attn_v.weightF16[768, 768]
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blk.3.ffn_down.biasF32[768]
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blk.3.ffn_down.weightF16[3072, 768]
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blk.3.ffn_up.biasF32[3072]
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blk.3.ffn_up.weightF16[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_k.weightF16[768, 768]
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blk.4.attn_output.weightF16[768, 768]
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blk.4.attn_q.biasF32[768]
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blk.4.attn_v.weightF16[768, 768]
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blk.4.ffn_down.biasF32[768]
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blk.4.ffn_up.biasF32[3072]
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blk.4.ffn_up.weightF16[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_k.biasF32[768]
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blk.5.attn_k.weightF16[768, 768]
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blk.5.attn_output.biasF32[768]
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blk.5.attn_output.weightF16[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_q.biasF32[768]
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blk.5.ffn_down.biasF32[768]
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blk.5.ffn_down.weightF16[3072, 768]
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blk.5.ffn_up.biasF32[3072]
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blk.5.ffn_up.weightF16[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_k.weightF16[768, 768]
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blk.9.ffn_up.weightF16[768, 3072]
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blk.10.ffn_up.weightF16[768, 3072]
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blk.11.ffn_up.weightF16[768, 3072]
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blk.11.layer_output_norm.weightF32[768]
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position_embd.weightF32[768, 512]
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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]
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