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TCYZ
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cokertme3
:0.2b
6
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1 month ago
3. Çökertme Modeli
3. Çökertme Modeli
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0.2b
cokertme3:0.2b
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model
f26b74559eea · 835MB
Metadata
general.architecture
llama
llama
llama.attention.head_count
8
8
llama.attention.head_count_kv
8
8
llama.attention.layer_norm_rms_epsilon
1e-06
1e-06
llama.block_count
8
8
llama.context_length
2048
2048
llama.embedding_length
2048
2048
llama.feed_forward_length
1376
1376
llama.rope.dimension_count
256
256
tokenizer.ggml.bos_token_id
0
0
tokenizer.ggml.eos_token_id
2
2
tokenizer.ggml.merges
[Ä ±, < /, Ġ </, a r, Ã ¼, ...]
[Ä ±, < /, Ġ </, a r, Ã ¼, ...]
tokenizer.ggml.model
gpt2
gpt2
tokenizer.ggml.padding_token_id
1
1
tokenizer.ggml.tokens
[<s>, <pad>, </s>, <unk>, !, ...]
[<s>, <pad>, </s>, <unk>, !, ...]
Tensor
Name
Type
Shape
token_embd.weight
F32
F32
[2048, 1653]
blk.0
blk.0.attn_k.weight
F32
F32
[2048, 2048]
blk.0.attn_norm.weight
F32
F32
[2048]
blk.0.attn_output.weight
F32
F32
[2048, 2048]
blk.0.attn_q.weight
F32
F32
[2048, 2048]
blk.0.attn_v.weight
F32
F32
[2048, 2048]
blk.0.ffn_down.weight
F32
F32
[1376, 2048]
blk.0.ffn_gate.weight
F32
F32
[2048, 1376]
blk.0.ffn_norm.weight
F32
F32
[2048]
blk.0.ffn_up.weight
F32
F32
[2048, 1376]
blk.1
blk.1.attn_k.weight
F32
F32
[2048, 2048]
blk.1.attn_norm.weight
F32
F32
[2048]
blk.1.attn_output.weight
F32
F32
[2048, 2048]
blk.1.attn_q.weight
F32
F32
[2048, 2048]
blk.1.attn_v.weight
F32
F32
[2048, 2048]
blk.1.ffn_down.weight
F32
F32
[1376, 2048]
blk.1.ffn_gate.weight
F32
F32
[2048, 1376]
blk.1.ffn_norm.weight
F32
F32
[2048]
blk.1.ffn_up.weight
F32
F32
[2048, 1376]
blk.2
blk.2.attn_k.weight
F32
F32
[2048, 2048]
blk.2.attn_norm.weight
F32
F32
[2048]
blk.2.attn_output.weight
F32
F32
[2048, 2048]
blk.2.attn_q.weight
F32
F32
[2048, 2048]
blk.2.attn_v.weight
F32
F32
[2048, 2048]
blk.2.ffn_down.weight
F32
F32
[1376, 2048]
blk.2.ffn_gate.weight
F32
F32
[2048, 1376]
blk.2.ffn_norm.weight
F32
F32
[2048]
blk.2.ffn_up.weight
F32
F32
[2048, 1376]
blk.3
blk.3.attn_k.weight
F32
F32
[2048, 2048]
blk.3.attn_norm.weight
F32
F32
[2048]
blk.3.attn_output.weight
F32
F32
[2048, 2048]
blk.3.attn_q.weight
F32
F32
[2048, 2048]
blk.3.attn_v.weight
F32
F32
[2048, 2048]
blk.3.ffn_down.weight
F32
F32
[1376, 2048]
blk.3.ffn_gate.weight
F32
F32
[2048, 1376]
blk.3.ffn_norm.weight
F32
F32
[2048]
blk.3.ffn_up.weight
F32
F32
[2048, 1376]
blk.4
blk.4.attn_k.weight
F32
F32
[2048, 2048]
blk.4.attn_norm.weight
F32
F32
[2048]
blk.4.attn_output.weight
F32
F32
[2048, 2048]
blk.4.attn_q.weight
F32
F32
[2048, 2048]
blk.4.attn_v.weight
F32
F32
[2048, 2048]
blk.4.ffn_down.weight
F32
F32
[1376, 2048]
blk.4.ffn_gate.weight
F32
F32
[2048, 1376]
blk.4.ffn_norm.weight
F32
F32
[2048]
blk.4.ffn_up.weight
F32
F32
[2048, 1376]
blk.5
blk.5.attn_k.weight
F32
F32
[2048, 2048]
blk.5.attn_norm.weight
F32
F32
[2048]
blk.5.attn_output.weight
F32
F32
[2048, 2048]
blk.5.attn_q.weight
F32
F32
[2048, 2048]
blk.5.attn_v.weight
F32
F32
[2048, 2048]
blk.5.ffn_down.weight
F32
F32
[1376, 2048]
blk.5.ffn_gate.weight
F32
F32
[2048, 1376]
blk.5.ffn_norm.weight
F32
F32
[2048]
blk.5.ffn_up.weight
F32
F32
[2048, 1376]
blk.6
blk.6.attn_k.weight
F32
F32
[2048, 2048]
blk.6.attn_norm.weight
F32
F32
[2048]
blk.6.attn_output.weight
F32
F32
[2048, 2048]
blk.6.attn_q.weight
F32
F32
[2048, 2048]
blk.6.attn_v.weight
F32
F32
[2048, 2048]
blk.6.ffn_down.weight
F32
F32
[1376, 2048]
blk.6.ffn_gate.weight
F32
F32
[2048, 1376]
blk.6.ffn_norm.weight
F32
F32
[2048]
blk.6.ffn_up.weight
F32
F32
[2048, 1376]
blk.7
blk.7.attn_k.weight
F32
F32
[2048, 2048]
blk.7.attn_norm.weight
F32
F32
[2048]
blk.7.attn_output.weight
F32
F32
[2048, 2048]
blk.7.attn_q.weight
F32
F32
[2048, 2048]
blk.7.attn_v.weight
F32
F32
[2048, 2048]
blk.7.ffn_down.weight
F32
F32
[1376, 2048]
blk.7.ffn_gate.weight
F32
F32
[2048, 1376]
blk.7.ffn_norm.weight
F32
F32
[2048]
blk.7.ffn_up.weight
F32
F32
[2048, 1376]
output.weight
F32
F32
[2048, 1653]
output_norm.weight
F32
F32
[2048]