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saputrabudi
/
exabot-matriks
:latest
18
Downloads
Updated
2 months ago
Model AI untuk analisis matematika, aktivitas trading, perhitungan proyek infrastruktur, pembuatan RAB proposal, dan analisis lainnya
Model AI untuk analisis matematika, aktivitas trading, perhitungan proyek infrastruktur, pembuatan RAB proposal, dan analisis lainnya
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tools
exabot-matriks:latest
...
/
model
74701a8c35f6 · 1.3GB
Metadata
general.architecture
llama
llama
general.file_type
Q8_0
Q8_0
llama.attention.head_count
32
32
llama.attention.head_count_kv
8
8
llama.attention.key_length
64
64
llama.attention.layer_norm_rms_epsilon
1e-05
1e-05
llama.attention.value_length
64
64
llama.block_count
16
16
llama.context_length
131072
131072
llama.embedding_length
2048
2048
llama.feed_forward_length
8192
8192
llama.rope.dimension_count
64
64
llama.rope.freq_base
500000
500000
llama.vocab_size
128256
128256
tokenizer.ggml.bos_token_id
128000
128000
tokenizer.ggml.eos_token_id
128009
128009
tokenizer.ggml.merges
[Ġ Ġ, Ġ ĠĠĠ, ĠĠ ĠĠ, ĠĠĠ Ġ, i n, ...]
[Ġ Ġ, Ġ ĠĠĠ, ĠĠ ĠĠ, ĠĠĠ Ġ, i n, ...]
tokenizer.ggml.model
gpt2
gpt2
tokenizer.ggml.pre
llama-bpe
llama-bpe
tokenizer.ggml.token_type
[1, 1, 1, 1, 1, ...]
[1, 1, 1, 1, 1, ...]
tokenizer.ggml.tokens
[!, ", #, $, %, ...]
[!, ", #, $, %, ...]
Tensor
Name
Type
Shape
token_embd.weight
Q8_0
Q8_0
[2048, 128256]
blk.0
blk.0.attn_k.weight
Q8_0
Q8_0
[2048, 512]
blk.0.attn_norm.weight
F32
F32
[2048]
blk.0.attn_output.weight
Q8_0
Q8_0
[2048, 2048]
blk.0.attn_q.weight
Q8_0
Q8_0
[2048, 2048]
blk.0.attn_v.weight
Q8_0
Q8_0
[2048, 512]
blk.0.ffn_down.weight
Q8_0
Q8_0
[8192, 2048]
blk.0.ffn_gate.weight
Q8_0
Q8_0
[2048, 8192]
blk.0.ffn_norm.weight
F32
F32
[2048]
blk.0.ffn_up.weight
Q8_0
Q8_0
[2048, 8192]
blk.1
blk.1.attn_k.weight
Q8_0
Q8_0
[2048, 512]
blk.1.attn_norm.weight
F32
F32
[2048]
blk.1.attn_output.weight
Q8_0
Q8_0
[2048, 2048]
blk.1.attn_q.weight
Q8_0
Q8_0
[2048, 2048]
blk.1.attn_v.weight
Q8_0
Q8_0
[2048, 512]
blk.1.ffn_down.weight
Q8_0
Q8_0
[8192, 2048]
blk.1.ffn_gate.weight
Q8_0
Q8_0
[2048, 8192]
blk.1.ffn_norm.weight
F32
F32
[2048]
blk.1.ffn_up.weight
Q8_0
Q8_0
[2048, 8192]
blk.2
blk.2.attn_k.weight
Q8_0
Q8_0
[2048, 512]
blk.2.attn_norm.weight
F32
F32
[2048]
blk.2.attn_output.weight
Q8_0
Q8_0
[2048, 2048]
blk.2.attn_q.weight
Q8_0
Q8_0
[2048, 2048]
blk.2.attn_v.weight
Q8_0
Q8_0
[2048, 512]
blk.2.ffn_down.weight
Q8_0
Q8_0
[8192, 2048]
blk.2.ffn_gate.weight
Q8_0
Q8_0
[2048, 8192]
blk.2.ffn_norm.weight
F32
F32
[2048]
blk.2.ffn_up.weight
Q8_0
Q8_0
[2048, 8192]
blk.3
blk.3.attn_k.weight
Q8_0
Q8_0
[2048, 512]
blk.3.attn_norm.weight
F32
F32
[2048]
blk.3.attn_output.weight
Q8_0
Q8_0
[2048, 2048]
blk.3.attn_q.weight
Q8_0
Q8_0
[2048, 2048]
blk.3.attn_v.weight
Q8_0
Q8_0
[2048, 512]
blk.3.ffn_down.weight
Q8_0
Q8_0
[8192, 2048]
blk.3.ffn_gate.weight
Q8_0
Q8_0
[2048, 8192]
blk.3.ffn_norm.weight
F32
F32
[2048]
blk.3.ffn_up.weight
Q8_0
Q8_0
[2048, 8192]
blk.4
blk.4.attn_k.weight
Q8_0
Q8_0
[2048, 512]
blk.4.attn_norm.weight
F32
F32
[2048]
blk.4.attn_output.weight
Q8_0
Q8_0
[2048, 2048]
blk.4.attn_q.weight
Q8_0
Q8_0
[2048, 2048]
blk.4.attn_v.weight
Q8_0
Q8_0
[2048, 512]
blk.4.ffn_down.weight
Q8_0
Q8_0
[8192, 2048]
blk.4.ffn_gate.weight
Q8_0
Q8_0
[2048, 8192]
blk.4.ffn_norm.weight
F32
F32
[2048]
blk.4.ffn_up.weight
Q8_0
Q8_0
[2048, 8192]
blk.5
blk.5.attn_k.weight
Q8_0
Q8_0
[2048, 512]
blk.5.attn_norm.weight
F32
F32
[2048]
blk.5.attn_output.weight
Q8_0
Q8_0
[2048, 2048]
blk.5.attn_q.weight
Q8_0
Q8_0
[2048, 2048]
blk.5.attn_v.weight
Q8_0
Q8_0
[2048, 512]
blk.5.ffn_down.weight
Q8_0
Q8_0
[8192, 2048]
blk.5.ffn_gate.weight
Q8_0
Q8_0
[2048, 8192]
blk.5.ffn_norm.weight
F32
F32
[2048]
blk.5.ffn_up.weight
Q8_0
Q8_0
[2048, 8192]
blk.6
blk.6.attn_k.weight
Q8_0
Q8_0
[2048, 512]
blk.6.attn_norm.weight
F32
F32
[2048]
blk.6.attn_output.weight
Q8_0
Q8_0
[2048, 2048]
blk.6.attn_q.weight
Q8_0
Q8_0
[2048, 2048]
blk.6.attn_v.weight
Q8_0
Q8_0
[2048, 512]
blk.6.ffn_down.weight
Q8_0
Q8_0
[8192, 2048]
blk.6.ffn_gate.weight
Q8_0
Q8_0
[2048, 8192]
blk.6.ffn_norm.weight
F32
F32
[2048]
blk.6.ffn_up.weight
Q8_0
Q8_0
[2048, 8192]
blk.7
blk.7.attn_k.weight
Q8_0
Q8_0
[2048, 512]
blk.7.attn_norm.weight
F32
F32
[2048]
blk.7.attn_output.weight
Q8_0
Q8_0
[2048, 2048]
blk.7.attn_q.weight
Q8_0
Q8_0
[2048, 2048]
blk.7.attn_v.weight
Q8_0
Q8_0
[2048, 512]
blk.7.ffn_down.weight
Q8_0
Q8_0
[8192, 2048]
blk.7.ffn_gate.weight
Q8_0
Q8_0
[2048, 8192]
blk.7.ffn_norm.weight
F32
F32
[2048]
blk.7.ffn_up.weight
Q8_0
Q8_0
[2048, 8192]
blk.8
blk.8.attn_k.weight
Q8_0
Q8_0
[2048, 512]
blk.8.attn_norm.weight
F32
F32
[2048]
blk.8.attn_output.weight
Q8_0
Q8_0
[2048, 2048]
blk.8.attn_q.weight
Q8_0
Q8_0
[2048, 2048]
blk.8.attn_v.weight
Q8_0
Q8_0
[2048, 512]
blk.8.ffn_down.weight
Q8_0
Q8_0
[8192, 2048]
blk.8.ffn_gate.weight
Q8_0
Q8_0
[2048, 8192]
blk.8.ffn_norm.weight
F32
F32
[2048]
blk.8.ffn_up.weight
Q8_0
Q8_0
[2048, 8192]
blk.9
blk.9.attn_k.weight
Q8_0
Q8_0
[2048, 512]
blk.9.attn_norm.weight
F32
F32
[2048]
blk.9.attn_output.weight
Q8_0
Q8_0
[2048, 2048]
blk.9.attn_q.weight
Q8_0
Q8_0
[2048, 2048]
blk.9.attn_v.weight
Q8_0
Q8_0
[2048, 512]
blk.9.ffn_down.weight
Q8_0
Q8_0
[8192, 2048]
blk.9.ffn_gate.weight
Q8_0
Q8_0
[2048, 8192]
blk.9.ffn_norm.weight
F32
F32
[2048]
blk.9.ffn_up.weight
Q8_0
Q8_0
[2048, 8192]
blk.10
blk.10.attn_k.weight
Q8_0
Q8_0
[2048, 512]
blk.10.attn_norm.weight
F32
F32
[2048]
blk.10.attn_output.weight
Q8_0
Q8_0
[2048, 2048]
blk.10.attn_q.weight
Q8_0
Q8_0
[2048, 2048]
blk.10.attn_v.weight
Q8_0
Q8_0
[2048, 512]
blk.10.ffn_down.weight
Q8_0
Q8_0
[8192, 2048]
blk.10.ffn_gate.weight
Q8_0
Q8_0
[2048, 8192]
blk.10.ffn_norm.weight
F32
F32
[2048]
blk.10.ffn_up.weight
Q8_0
Q8_0
[2048, 8192]
blk.11
blk.11.attn_k.weight
Q8_0
Q8_0
[2048, 512]
blk.11.attn_norm.weight
F32
F32
[2048]
blk.11.attn_output.weight
Q8_0
Q8_0
[2048, 2048]
blk.11.attn_q.weight
Q8_0
Q8_0
[2048, 2048]
blk.11.attn_v.weight
Q8_0
Q8_0
[2048, 512]
blk.11.ffn_down.weight
Q8_0
Q8_0
[8192, 2048]
blk.11.ffn_gate.weight
Q8_0
Q8_0
[2048, 8192]
blk.11.ffn_norm.weight
F32
F32
[2048]
blk.11.ffn_up.weight
Q8_0
Q8_0
[2048, 8192]
blk.12
blk.12.attn_k.weight
Q8_0
Q8_0
[2048, 512]
blk.12.attn_norm.weight
F32
F32
[2048]
blk.12.attn_output.weight
Q8_0
Q8_0
[2048, 2048]
blk.12.attn_q.weight
Q8_0
Q8_0
[2048, 2048]
blk.12.attn_v.weight
Q8_0
Q8_0
[2048, 512]
blk.12.ffn_down.weight
Q8_0
Q8_0
[8192, 2048]
blk.12.ffn_gate.weight
Q8_0
Q8_0
[2048, 8192]
blk.12.ffn_norm.weight
F32
F32
[2048]
blk.12.ffn_up.weight
Q8_0
Q8_0
[2048, 8192]
blk.13
blk.13.attn_k.weight
Q8_0
Q8_0
[2048, 512]
blk.13.attn_norm.weight
F32
F32
[2048]
blk.13.attn_output.weight
Q8_0
Q8_0
[2048, 2048]
blk.13.attn_q.weight
Q8_0
Q8_0
[2048, 2048]
blk.13.attn_v.weight
Q8_0
Q8_0
[2048, 512]
blk.13.ffn_down.weight
Q8_0
Q8_0
[8192, 2048]
blk.13.ffn_gate.weight
Q8_0
Q8_0
[2048, 8192]
blk.13.ffn_norm.weight
F32
F32
[2048]
blk.13.ffn_up.weight
Q8_0
Q8_0
[2048, 8192]
blk.14
blk.14.attn_k.weight
Q8_0
Q8_0
[2048, 512]
blk.14.attn_norm.weight
F32
F32
[2048]
blk.14.attn_output.weight
Q8_0
Q8_0
[2048, 2048]
blk.14.attn_q.weight
Q8_0
Q8_0
[2048, 2048]
blk.14.attn_v.weight
Q8_0
Q8_0
[2048, 512]
blk.14.ffn_down.weight
Q8_0
Q8_0
[8192, 2048]
blk.14.ffn_gate.weight
Q8_0
Q8_0
[2048, 8192]
blk.14.ffn_norm.weight
F32
F32
[2048]
blk.14.ffn_up.weight
Q8_0
Q8_0
[2048, 8192]
blk.15
blk.15.attn_k.weight
Q8_0
Q8_0
[2048, 512]
blk.15.attn_norm.weight
F32
F32
[2048]
blk.15.attn_output.weight
Q8_0
Q8_0
[2048, 2048]
blk.15.attn_q.weight
Q8_0
Q8_0
[2048, 2048]
blk.15.attn_v.weight
Q8_0
Q8_0
[2048, 512]
blk.15.ffn_down.weight
Q8_0
Q8_0
[8192, 2048]
blk.15.ffn_gate.weight
Q8_0
Q8_0
[2048, 8192]
blk.15.ffn_norm.weight
F32
F32
[2048]
blk.15.ffn_up.weight
Q8_0
Q8_0
[2048, 8192]
rope_freqs.weight
F32
F32
[32]
output_norm.weight
F32
F32
[2048]