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treyleo16
/
small-minded
:1m
67
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Updated
1 week ago
Like a little baby with a small brain.
Like a little baby with a small brain.
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0.0001m
0.00077m
0.001m
0.26m
1m
small-minded:1m
...
/
model
839ba936e6bb · 4.7MB
Metadata
general.architecture
llama
llama
general.file_type
F32
F32
llama.attention.head_count
2
2
llama.attention.head_count_kv
2
2
llama.attention.layer_norm_rms_epsilon
1e-05
1e-05
llama.block_count
4
4
llama.context_length
512
512
llama.embedding_length
28
28
llama.feed_forward_length
272
272
llama.rope.dimension_count
14
14
llama.rope.freq_base
10000
10000
llama.vocab_size
32000
32000
tokenizer.ggml.add_bos_token
true
true
tokenizer.ggml.add_eos_token
false
false
tokenizer.ggml.bos_token_id
1
1
tokenizer.ggml.eos_token_id
2
2
tokenizer.ggml.model
llama
llama
tokenizer.ggml.padding_token_id
0
0
tokenizer.ggml.scores
[0, 0, 0, 0, 0, ...]
[0, 0, 0, 0, 0, ...]
tokenizer.ggml.token_type
[2, 3, 3, 6, 6, ...]
[2, 3, 3, 6, 6, ...]
tokenizer.ggml.tokens
[<unk>, <s>, </s>, <0x00>, <0x01>, ...]
[<unk>, <s>, </s>, <0x00>, <0x01>, ...]
tokenizer.ggml.unknown_token_id
0
0
Tensor
Name
Type
Shape
token_embd.weight
F32
F32
[28, 32000]
blk.0
blk.0.attn_k.weight
F32
F32
[28, 28]
blk.0.attn_norm.weight
F32
F32
[28]
blk.0.attn_output.weight
F32
F32
[28, 28]
blk.0.attn_q.weight
F32
F32
[28, 28]
blk.0.attn_v.weight
F32
F32
[28, 28]
blk.0.ffn_down.weight
F32
F32
[272, 28]
blk.0.ffn_gate.weight
F32
F32
[28, 272]
blk.0.ffn_norm.weight
F32
F32
[28]
blk.0.ffn_up.weight
F32
F32
[28, 272]
blk.1
blk.1.attn_k.weight
F32
F32
[28, 28]
blk.1.attn_norm.weight
F32
F32
[28]
blk.1.attn_output.weight
F32
F32
[28, 28]
blk.1.attn_q.weight
F32
F32
[28, 28]
blk.1.attn_v.weight
F32
F32
[28, 28]
blk.1.ffn_down.weight
F32
F32
[272, 28]
blk.1.ffn_gate.weight
F32
F32
[28, 272]
blk.1.ffn_norm.weight
F32
F32
[28]
blk.1.ffn_up.weight
F32
F32
[28, 272]
blk.2
blk.2.attn_k.weight
F32
F32
[28, 28]
blk.2.attn_norm.weight
F32
F32
[28]
blk.2.attn_output.weight
F32
F32
[28, 28]
blk.2.attn_q.weight
F32
F32
[28, 28]
blk.2.attn_v.weight
F32
F32
[28, 28]
blk.2.ffn_down.weight
F32
F32
[272, 28]
blk.2.ffn_gate.weight
F32
F32
[28, 272]
blk.2.ffn_norm.weight
F32
F32
[28]
blk.2.ffn_up.weight
F32
F32
[28, 272]
blk.3
blk.3.attn_k.weight
F32
F32
[28, 28]
blk.3.attn_norm.weight
F32
F32
[28]
blk.3.attn_output.weight
F32
F32
[28, 28]
blk.3.attn_q.weight
F32
F32
[28, 28]
blk.3.attn_v.weight
F32
F32
[28, 28]
blk.3.ffn_down.weight
F32
F32
[272, 28]
blk.3.ffn_gate.weight
F32
F32
[28, 272]
blk.3.ffn_norm.weight
F32
F32
[28]
blk.3.ffn_up.weight
F32
F32
[28, 272]
output_norm.weight
F32
F32
[28]