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milkey
/
m3e
:small-f16
6,652
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1 year ago
Moka-AI Massive Mixed Embedding
Moka-AI Massive Mixed Embedding
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embedding
m3e:small-f16
...
/
model
ed780aa4e802 · 48MB
Metadata
general.architecture
bert
bert
general.file_type
F16
F16
bert.attention.causal
false
false
bert.attention.head_count
8
8
bert.attention.layer_norm_epsilon
1e-12
1e-12
bert.block_count
4
4
bert.context_length
512
512
bert.embedding_length
512
512
bert.feed_forward_length
2048
2048
bert.pooling_type
Mean
Mean
tokenizer.ggml.bos_token_id
101
101
tokenizer.ggml.cls_token_id
101
101
tokenizer.ggml.eos_token_id
102
102
tokenizer.ggml.mask_token_id
103
103
tokenizer.ggml.model
bert
bert
tokenizer.ggml.padding_token_id
0
0
tokenizer.ggml.scores
[-1000, -1000, -1000, -1000, -1000, ...]
[-1000, -1000, -1000, -1000, -1000, ...]
tokenizer.ggml.seperator_token_id
102
102
tokenizer.ggml.token_type
[3, 1, 1, 1, 1, ...]
[3, 1, 1, 1, 1, ...]
tokenizer.ggml.token_type_count
2
2
tokenizer.ggml.tokens
[[PAD], [unused1], [unused2], [unused3], [unused4], ...]
[[PAD], [unused1], [unused2], [unused3], [unused4], ...]
tokenizer.ggml.unknown_token_id
100
100
Tensor
Name
Type
Shape
token_embd.weight
F16
F16
[512, 21128]
blk.0
blk.0.attn_k.bias
F32
F32
[512]
blk.0.attn_k.weight
F16
F16
[512, 512]
blk.0.attn_output.bias
F32
F32
[512]
blk.0.attn_output.weight
F16
F16
[512, 512]
blk.0.attn_output_norm.bias
F32
F32
[512]
blk.0.attn_output_norm.weight
F32
F32
[512]
blk.0.attn_q.bias
F32
F32
[512]
blk.0.attn_q.weight
F16
F16
[512, 512]
blk.0.attn_v.bias
F32
F32
[512]
blk.0.attn_v.weight
F16
F16
[512, 512]
blk.0.ffn_down.bias
F32
F32
[512]
blk.0.ffn_down.weight
F16
F16
[2048, 512]
blk.0.ffn_up.bias
F32
F32
[2048]
blk.0.ffn_up.weight
F16
F16
[512, 2048]
blk.0.layer_output_norm.bias
F32
F32
[512]
blk.0.layer_output_norm.weight
F32
F32
[512]
blk.1
blk.1.attn_k.bias
F32
F32
[512]
blk.1.attn_k.weight
F16
F16
[512, 512]
blk.1.attn_output.bias
F32
F32
[512]
blk.1.attn_output.weight
F16
F16
[512, 512]
blk.1.attn_output_norm.bias
F32
F32
[512]
blk.1.attn_output_norm.weight
F32
F32
[512]
blk.1.attn_q.bias
F32
F32
[512]
blk.1.attn_q.weight
F16
F16
[512, 512]
blk.1.attn_v.bias
F32
F32
[512]
blk.1.attn_v.weight
F16
F16
[512, 512]
blk.1.ffn_down.bias
F32
F32
[512]
blk.1.ffn_down.weight
F16
F16
[2048, 512]
blk.1.ffn_up.bias
F32
F32
[2048]
blk.1.ffn_up.weight
F16
F16
[512, 2048]
blk.1.layer_output_norm.bias
F32
F32
[512]
blk.1.layer_output_norm.weight
F32
F32
[512]
blk.2
blk.2.attn_k.bias
F32
F32
[512]
blk.2.attn_k.weight
F16
F16
[512, 512]
blk.2.attn_output.bias
F32
F32
[512]
blk.2.attn_output.weight
F16
F16
[512, 512]
blk.2.attn_output_norm.bias
F32
F32
[512]
blk.2.attn_output_norm.weight
F32
F32
[512]
blk.2.attn_q.bias
F32
F32
[512]
blk.2.attn_q.weight
F16
F16
[512, 512]
blk.2.attn_v.bias
F32
F32
[512]
blk.2.attn_v.weight
F16
F16
[512, 512]
blk.2.ffn_down.bias
F32
F32
[512]
blk.2.ffn_down.weight
F16
F16
[2048, 512]
blk.2.ffn_up.bias
F32
F32
[2048]
blk.2.ffn_up.weight
F16
F16
[512, 2048]
blk.2.layer_output_norm.bias
F32
F32
[512]
blk.2.layer_output_norm.weight
F32
F32
[512]
blk.3
blk.3.attn_k.bias
F32
F32
[512]
blk.3.attn_k.weight
F16
F16
[512, 512]
blk.3.attn_output.bias
F32
F32
[512]
blk.3.attn_output.weight
F16
F16
[512, 512]
blk.3.attn_output_norm.bias
F32
F32
[512]
blk.3.attn_output_norm.weight
F32
F32
[512]
blk.3.attn_q.bias
F32
F32
[512]
blk.3.attn_q.weight
F16
F16
[512, 512]
blk.3.attn_v.bias
F32
F32
[512]
blk.3.attn_v.weight
F16
F16
[512, 512]
blk.3.ffn_down.bias
F32
F32
[512]
blk.3.ffn_down.weight
F16
F16
[2048, 512]
blk.3.ffn_up.bias
F32
F32
[2048]
blk.3.ffn_up.weight
F16
F16
[512, 2048]
blk.3.layer_output_norm.bias
F32
F32
[512]
blk.3.layer_output_norm.weight
F32
F32
[512]
position_embd.weight
F16
F16
[512, 512]
token_embd_norm.bias
F32
F32
[512]
token_embd_norm.weight
F32
F32
[512]
token_types.weight
F32
F32
[512, 2]