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TCYZ
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eng
:3m
14
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1 month ago
Our first English model.
Our first English model.
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1m
1.8m
3m
eng:3m
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model
3bf95e49f1e8 · 13MB
Metadata
general.architecture
llama
llama
llama.attention.head_count
4
4
llama.attention.head_count_kv
4
4
llama.attention.layer_norm_rms_epsilon
1e-06
1e-06
llama.block_count
4
4
llama.context_length
256
256
llama.embedding_length
256
256
llama.feed_forward_length
512
512
llama.rope.dimension_count
64
64
tokenizer.ggml.bos_token_id
0
0
tokenizer.ggml.eos_token_id
2
2
tokenizer.ggml.merges
[Ġ a, Ġ i, e r, o n, Ġi s, ...]
[Ġ a, Ġ i, e r, o n, Ġi s, ...]
tokenizer.ggml.model
gpt2
gpt2
tokenizer.ggml.padding_token_id
1
1
tokenizer.ggml.tokens
[<s>, <pad>, </s>, <unk>, <mask>, ...]
[<s>, <pad>, </s>, <unk>, <mask>, ...]
Tensor
Name
Type
Shape
token_embd.weight
F32
F32
[256, 1001]
blk.0
blk.0.attn_k.weight
F32
F32
[256, 256]
blk.0.attn_norm.weight
F32
F32
[256]
blk.0.attn_output.weight
F32
F32
[256, 256]
blk.0.attn_q.weight
F32
F32
[256, 256]
blk.0.attn_v.weight
F32
F32
[256, 256]
blk.0.ffn_down.weight
F32
F32
[512, 256]
blk.0.ffn_gate.weight
F32
F32
[256, 512]
blk.0.ffn_norm.weight
F32
F32
[256]
blk.0.ffn_up.weight
F32
F32
[256, 512]
blk.1
blk.1.attn_k.weight
F32
F32
[256, 256]
blk.1.attn_norm.weight
F32
F32
[256]
blk.1.attn_output.weight
F32
F32
[256, 256]
blk.1.attn_q.weight
F32
F32
[256, 256]
blk.1.attn_v.weight
F32
F32
[256, 256]
blk.1.ffn_down.weight
F32
F32
[512, 256]
blk.1.ffn_gate.weight
F32
F32
[256, 512]
blk.1.ffn_norm.weight
F32
F32
[256]
blk.1.ffn_up.weight
F32
F32
[256, 512]
blk.2
blk.2.attn_k.weight
F32
F32
[256, 256]
blk.2.attn_norm.weight
F32
F32
[256]
blk.2.attn_output.weight
F32
F32
[256, 256]
blk.2.attn_q.weight
F32
F32
[256, 256]
blk.2.attn_v.weight
F32
F32
[256, 256]
blk.2.ffn_down.weight
F32
F32
[512, 256]
blk.2.ffn_gate.weight
F32
F32
[256, 512]
blk.2.ffn_norm.weight
F32
F32
[256]
blk.2.ffn_up.weight
F32
F32
[256, 512]
blk.3
blk.3.attn_k.weight
F32
F32
[256, 256]
blk.3.attn_norm.weight
F32
F32
[256]
blk.3.attn_output.weight
F32
F32
[256, 256]
blk.3.attn_q.weight
F32
F32
[256, 256]
blk.3.attn_v.weight
F32
F32
[256, 256]
blk.3.ffn_down.weight
F32
F32
[512, 256]
blk.3.ffn_gate.weight
F32
F32
[256, 512]
blk.3.ffn_norm.weight
F32
F32
[256]
blk.3.ffn_up.weight
F32
F32
[256, 512]
output.weight
F32
F32
[256, 1001]
output_norm.weight
F32
F32
[256]