A suite of text embedding models by Snowflake, optimized for performance.
embedding
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348.3K Pulls Updated 8 months ago
fb3b66c7bdf6 · 669MB
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bert.attention.causalfalse
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bert.attention.head_count16
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bert.attention.layer_norm_epsilon1e-12
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bert.block_count24
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bert.context_length512
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bert.embedding_length1024
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bert.feed_forward_length4096
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bert.pooling_type2
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general.architecturebert
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general.file_type1
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general.namesnowflake-arctic-embed-l
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tokenizer.ggml.cls_token_id101
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tokenizer.ggml.mask_token_id103
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tokenizer.ggml.modelbert
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tokenizer.ggml.padding_token_id0
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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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-
blk.22.ffn_up.weightF16[1024, 4096]
-
blk.22.layer_output_norm.biasF32[1024]
-
blk.22.layer_output_norm.weightF32[1024]
-
blk.23.attn_k.biasF32[1024]
-
blk.23.attn_k.weightF16[1024, 1024]
-
blk.23.attn_output.biasF32[1024]
-
blk.23.attn_output.weightF16[1024, 1024]
-
blk.23.attn_output_norm.biasF32[1024]
-
blk.23.attn_output_norm.weightF32[1024]
-
blk.23.attn_q.biasF32[1024]
-
blk.23.attn_q.weightF16[1024, 1024]
-
blk.23.attn_v.biasF32[1024]
-
blk.23.attn_v.weightF16[1024, 1024]
-
blk.23.ffn_down.biasF32[1024]
-
blk.23.ffn_down.weightF16[4096, 1024]
-
blk.23.ffn_up.biasF32[4096]
-
blk.23.ffn_up.weightF16[1024, 4096]
-
blk.23.layer_output_norm.biasF32[1024]
-
blk.23.layer_output_norm.weightF32[1024]
-
position_embd.weightF16[1024, 512]
-
token_embd_norm.biasF32[1024]
-
token_embd_norm.weightF32[1024]
-
token_types.weightF32[1024, 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
blk.12
blk.13
blk.14
blk.15
blk.16
blk.17
blk.18
blk.19
blk.20
blk.21
blk.22
blk.23