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sadiknawazyt
/
sadik-ai-nano-multilingual
:latest
1
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sadik-ai-nano-multilingual:latest
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model
76de69757ac7 · 33MB
Metadata
general.architecture
llama
llama
general.file_type
F32
F32
llama.attention.head_count
6
6
llama.attention.head_count_kv
2
2
llama.attention.layer_norm_rms_epsilon
1e-06
1e-06
llama.block_count
4
4
llama.context_length
256
256
llama.embedding_length
192
192
llama.feed_forward_length
512
512
llama.rope.dimension_count
32
32
llama.rope.freq_base
10000
10000
llama.vocab_size
32768
32768
tokenizer.ggml.add_bos_token
false
false
tokenizer.ggml.add_eos_token
false
false
tokenizer.ggml.bos_token_id
0
0
tokenizer.ggml.eos_token_id
0
0
tokenizer.ggml.merges
[à ¤, Ġ Ġ, à ¥, Ġ à¤, ĠĠ ĠĠ, ...]
[à ¤, Ġ Ġ, à ¥, Ġ à¤, ĠĠ ĠĠ, ...]
tokenizer.ggml.model
gpt2
gpt2
tokenizer.ggml.padding_token_id
1
1
tokenizer.ggml.pre
gpt-2
gpt-2
tokenizer.ggml.token_type
[3, 3, 1, 1, 1, ...]
[3, 3, 1, 1, 1, ...]
tokenizer.ggml.tokens
[<|endoftext|>, <|pad|>, !, ", #, ...]
[<|endoftext|>, <|pad|>, !, ", #, ...]
Tensor
Name
Type
Shape
token_embd.weight
F32
F32
[192, 32768]
blk.0
blk.0.attn_k.weight
F32
F32
[192, 64]
blk.0.attn_norm.weight
F32
F32
[192]
blk.0.attn_output.weight
F32
F32
[192, 192]
blk.0.attn_q.weight
F32
F32
[192, 192]
blk.0.attn_v.weight
F32
F32
[192, 64]
blk.0.ffn_down.weight
F32
F32
[512, 192]
blk.0.ffn_gate.weight
F32
F32
[192, 512]
blk.0.ffn_norm.weight
F32
F32
[192]
blk.0.ffn_up.weight
F32
F32
[192, 512]
blk.1
blk.1.attn_k.weight
F32
F32
[192, 64]
blk.1.attn_norm.weight
F32
F32
[192]
blk.1.attn_output.weight
F32
F32
[192, 192]
blk.1.attn_q.weight
F32
F32
[192, 192]
blk.1.attn_v.weight
F32
F32
[192, 64]
blk.1.ffn_down.weight
F32
F32
[512, 192]
blk.1.ffn_gate.weight
F32
F32
[192, 512]
blk.1.ffn_norm.weight
F32
F32
[192]
blk.1.ffn_up.weight
F32
F32
[192, 512]
blk.2
blk.2.attn_k.weight
F32
F32
[192, 64]
blk.2.attn_norm.weight
F32
F32
[192]
blk.2.attn_output.weight
F32
F32
[192, 192]
blk.2.attn_q.weight
F32
F32
[192, 192]
blk.2.attn_v.weight
F32
F32
[192, 64]
blk.2.ffn_down.weight
F32
F32
[512, 192]
blk.2.ffn_gate.weight
F32
F32
[192, 512]
blk.2.ffn_norm.weight
F32
F32
[192]
blk.2.ffn_up.weight
F32
F32
[192, 512]
blk.3
blk.3.attn_k.weight
F32
F32
[192, 64]
blk.3.attn_norm.weight
F32
F32
[192]
blk.3.attn_output.weight
F32
F32
[192, 192]
blk.3.attn_q.weight
F32
F32
[192, 192]
blk.3.attn_v.weight
F32
F32
[192, 64]
blk.3.ffn_down.weight
F32
F32
[512, 192]
blk.3.ffn_gate.weight
F32
F32
[192, 512]
blk.3.ffn_norm.weight
F32
F32
[192]
blk.3.ffn_up.weight
F32
F32
[192, 512]
output_norm.weight
F32
F32
[192]