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TCYZ
/
hayati
:0.4m
15
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Updated
2 months ago
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0.4m
5m
13m
hayati:0.4m
...
/
model
ec84669768e6 · 2.7MB
Metadata
general.architecture
llama
llama
llama.attention.head_count
1
1
llama.attention.head_count_kv
1
1
llama.attention.layer_norm_rms_epsilon
1e-05
1e-05
llama.block_count
1
1
llama.context_length
16
16
llama.embedding_length
4
4
llama.feed_forward_length
10
10
tokenizer.ggml.model
llama
llama
tokenizer.ggml.scores
[0, 0, 0, 0, 0, ...]
[0, 0, 0, 0, 0, ...]
tokenizer.ggml.token_type
[1, 1, 1, 1, 1, ...]
[1, 1, 1, 1, 1, ...]
tokenizer.ggml.tokens
[!, ", #, $, %, ...]
[!, ", #, $, %, ...]
Tensor
Name
Type
Shape
token_embd.weight
F32
F32
[4, 50257]
blk.0
blk.0.attn_k.weight
F32
F32
[4, 4]
blk.0.attn_norm.weight
F32
F32
[4]
blk.0.attn_output.weight
F32
F32
[4, 4]
blk.0.attn_q.weight
F32
F32
[4, 4]
blk.0.attn_v.weight
F32
F32
[4, 4]
blk.0.ffn_down.weight
F32
F32
[10, 4]
blk.0.ffn_gate.weight
F32
F32
[4, 10]
blk.0.ffn_norm.weight
F32
F32
[4]
blk.0.ffn_up.weight
F32
F32
[4, 10]
output.weight
F32
F32
[4, 50257]
output_norm.weight
F32
F32
[4]