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cnmoro
/
smol_llama-101m-gqa-python
:q8_0
6
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Updated
1 year ago
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smol_llama-101m-gqa-python:q8_0
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/
model
f9528e5a32b6 · 108MB
Metadata
general.architecture
llama
llama
general.file_type
Q8_0
Q8_0
llama.attention.head_count
24
24
llama.attention.head_count_kv
8
8
llama.attention.layer_norm_rms_epsilon
1e-05
1e-05
llama.block_count
6
6
llama.context_length
1024
1024
llama.embedding_length
768
768
llama.feed_forward_length
3072
3072
llama.rope.dimension_count
32
32
llama.rope.freq_base
10000
10000
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.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>, ...]
Tensor
Name
Type
Shape
token_embd.weight
Q8_0
Q8_0
[768, 32128]
blk.0
blk.0.attn_k.weight
Q8_0
Q8_0
[768, 256]
blk.0.attn_norm.weight
F32
F32
[768]
blk.0.attn_output.weight
Q8_0
Q8_0
[768, 768]
blk.0.attn_q.weight
Q8_0
Q8_0
[768, 768]
blk.0.attn_v.weight
Q8_0
Q8_0
[768, 256]
blk.0.ffn_down.weight
Q8_0
Q8_0
[3072, 768]
blk.0.ffn_gate.weight
Q8_0
Q8_0
[768, 3072]
blk.0.ffn_norm.weight
F32
F32
[768]
blk.0.ffn_up.weight
Q8_0
Q8_0
[768, 3072]
blk.1
blk.1.attn_k.weight
Q8_0
Q8_0
[768, 256]
blk.1.attn_norm.weight
F32
F32
[768]
blk.1.attn_output.weight
Q8_0
Q8_0
[768, 768]
blk.1.attn_q.weight
Q8_0
Q8_0
[768, 768]
blk.1.attn_v.weight
Q8_0
Q8_0
[768, 256]
blk.1.ffn_down.weight
Q8_0
Q8_0
[3072, 768]
blk.1.ffn_gate.weight
Q8_0
Q8_0
[768, 3072]
blk.1.ffn_norm.weight
F32
F32
[768]
blk.1.ffn_up.weight
Q8_0
Q8_0
[768, 3072]
blk.2
blk.2.attn_k.weight
Q8_0
Q8_0
[768, 256]
blk.2.attn_norm.weight
F32
F32
[768]
blk.2.attn_output.weight
Q8_0
Q8_0
[768, 768]
blk.2.attn_q.weight
Q8_0
Q8_0
[768, 768]
blk.2.attn_v.weight
Q8_0
Q8_0
[768, 256]
blk.2.ffn_down.weight
Q8_0
Q8_0
[3072, 768]
blk.2.ffn_gate.weight
Q8_0
Q8_0
[768, 3072]
blk.2.ffn_norm.weight
F32
F32
[768]
blk.2.ffn_up.weight
Q8_0
Q8_0
[768, 3072]
blk.3
blk.3.attn_k.weight
Q8_0
Q8_0
[768, 256]
blk.3.attn_norm.weight
F32
F32
[768]
blk.3.attn_output.weight
Q8_0
Q8_0
[768, 768]
blk.3.attn_q.weight
Q8_0
Q8_0
[768, 768]
blk.3.attn_v.weight
Q8_0
Q8_0
[768, 256]
blk.3.ffn_down.weight
Q8_0
Q8_0
[3072, 768]
blk.3.ffn_gate.weight
Q8_0
Q8_0
[768, 3072]
blk.3.ffn_norm.weight
F32
F32
[768]
blk.3.ffn_up.weight
Q8_0
Q8_0
[768, 3072]
blk.4
blk.4.attn_k.weight
Q8_0
Q8_0
[768, 256]
blk.4.attn_norm.weight
F32
F32
[768]
blk.4.attn_output.weight
Q8_0
Q8_0
[768, 768]
blk.4.attn_q.weight
Q8_0
Q8_0
[768, 768]
blk.4.attn_v.weight
Q8_0
Q8_0
[768, 256]
blk.4.ffn_down.weight
Q8_0
Q8_0
[3072, 768]
blk.4.ffn_gate.weight
Q8_0
Q8_0
[768, 3072]
blk.4.ffn_norm.weight
F32
F32
[768]
blk.4.ffn_up.weight
Q8_0
Q8_0
[768, 3072]
blk.5
blk.5.attn_k.weight
Q8_0
Q8_0
[768, 256]
blk.5.attn_norm.weight
F32
F32
[768]
blk.5.attn_output.weight
Q8_0
Q8_0
[768, 768]
blk.5.attn_q.weight
Q8_0
Q8_0
[768, 768]
blk.5.attn_v.weight
Q8_0
Q8_0
[768, 256]
blk.5.ffn_down.weight
Q8_0
Q8_0
[3072, 768]
blk.5.ffn_gate.weight
Q8_0
Q8_0
[768, 3072]
blk.5.ffn_norm.weight
F32
F32
[768]
blk.5.ffn_up.weight
Q8_0
Q8_0
[768, 3072]
output.weight
Q8_0
Q8_0
[768, 32128]
output_norm.weight
F32
F32
[768]