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AZERDSQ
/
g1-nano-instruct
:latest
Updated
6 hours ago
A 60M-parameter GPT pretrained and instruction-tuned on a single 8GB-RAM NVIDIA Jetson, offering a native 2048-token context and real multi-turn conversation support.
A 60M-parameter GPT pretrained and instruction-tuned on a single 8GB-RAM NVIDIA Jetson, offering a native 2048-token context and real multi-turn conversation support.
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g1-nano-instruct:latest
...
/
model
978d15fc92b9 · 279MB
Metadata
general.architecture
llama
llama
general.file_type
F32
F32
llama.attention.head_count
9
9
llama.attention.head_count_kv
1
1
llama.attention.layer_norm_rms_epsilon
1e-05
1e-05
llama.block_count
14
14
llama.context_length
2048
2048
llama.embedding_length
576
576
llama.feed_forward_length
1664
1664
llama.rope.dimension_count
64
64
llama.rope.freq_base
10000
10000
tokenizer.ggml.add_bos_token
true
true
tokenizer.ggml.bos_token_id
2
2
tokenizer.ggml.eos_token_id
16386
16386
tokenizer.ggml.model
llama
llama
tokenizer.ggml.padding_token_id
0
0
tokenizer.ggml.pre
default
default
tokenizer.ggml.scores
[0, 0, 0, 0, -0, ...]
[0, 0, 0, 0, -0, ...]
tokenizer.ggml.token_type
[3, 2, 3, 3, 1, ...]
[3, 2, 3, 3, 1, ...]
tokenizer.ggml.tokens
[<pad>, <unk>, <s>, </s>, ▁t, ...]
[<pad>, <unk>, <s>, </s>, ▁t, ...]
tokenizer.ggml.unknown_token_id
1
1
Tensor
Name
Type
Shape
token_embd.weight
F32
F32
[576, 16644]
blk.0
blk.0.attn_k.weight
F32
F32
[576, 64]
blk.0.attn_norm.weight
F32
F32
[576]
blk.0.attn_output.weight
F32
F32
[576, 576]
blk.0.attn_q.weight
F32
F32
[576, 576]
blk.0.attn_v.weight
F32
F32
[576, 64]
blk.0.ffn_down.weight
F32
F32
[1664, 576]
blk.0.ffn_gate.weight
F32
F32
[576, 1664]
blk.0.ffn_norm.weight
F32
F32
[576]
blk.0.ffn_up.weight
F32
F32
[576, 1664]
blk.1
blk.1.attn_k.weight
F32
F32
[576, 64]
blk.1.attn_norm.weight
F32
F32
[576]
blk.1.attn_output.weight
F32
F32
[576, 576]
blk.1.attn_q.weight
F32
F32
[576, 576]
blk.1.attn_v.weight
F32
F32
[576, 64]
blk.1.ffn_down.weight
F32
F32
[1664, 576]
blk.1.ffn_gate.weight
F32
F32
[576, 1664]
blk.1.ffn_norm.weight
F32
F32
[576]
blk.1.ffn_up.weight
F32
F32
[576, 1664]
blk.2
blk.2.attn_k.weight
F32
F32
[576, 64]
blk.2.attn_norm.weight
F32
F32
[576]
blk.2.attn_output.weight
F32
F32
[576, 576]
blk.2.attn_q.weight
F32
F32
[576, 576]
blk.2.attn_v.weight
F32
F32
[576, 64]
blk.2.ffn_down.weight
F32
F32
[1664, 576]
blk.2.ffn_gate.weight
F32
F32
[576, 1664]
blk.2.ffn_norm.weight
F32
F32
[576]
blk.2.ffn_up.weight
F32
F32
[576, 1664]
blk.3
blk.3.attn_k.weight
F32
F32
[576, 64]
blk.3.attn_norm.weight
F32
F32
[576]
blk.3.attn_output.weight
F32
F32
[576, 576]
blk.3.attn_q.weight
F32
F32
[576, 576]
blk.3.attn_v.weight
F32
F32
[576, 64]
blk.3.ffn_down.weight
F32
F32
[1664, 576]
blk.3.ffn_gate.weight
F32
F32
[576, 1664]
blk.3.ffn_norm.weight
F32
F32
[576]
blk.3.ffn_up.weight
F32
F32
[576, 1664]
blk.4
blk.4.attn_k.weight
F32
F32
[576, 64]
blk.4.attn_norm.weight
F32
F32
[576]
blk.4.attn_output.weight
F32
F32
[576, 576]
blk.4.attn_q.weight
F32
F32
[576, 576]
blk.4.attn_v.weight
F32
F32
[576, 64]
blk.4.ffn_down.weight
F32
F32
[1664, 576]
blk.4.ffn_gate.weight
F32
F32
[576, 1664]
blk.4.ffn_norm.weight
F32
F32
[576]
blk.4.ffn_up.weight
F32
F32
[576, 1664]
blk.5
blk.5.attn_k.weight
F32
F32
[576, 64]
blk.5.attn_norm.weight
F32
F32
[576]
blk.5.attn_output.weight
F32
F32
[576, 576]
blk.5.attn_q.weight
F32
F32
[576, 576]
blk.5.attn_v.weight
F32
F32
[576, 64]
blk.5.ffn_down.weight
F32
F32
[1664, 576]
blk.5.ffn_gate.weight
F32
F32
[576, 1664]
blk.5.ffn_norm.weight
F32
F32
[576]
blk.5.ffn_up.weight
F32
F32
[576, 1664]
blk.6
blk.6.attn_k.weight
F32
F32
[576, 64]
blk.6.attn_norm.weight
F32
F32
[576]
blk.6.attn_output.weight
F32
F32
[576, 576]
blk.6.attn_q.weight
F32
F32
[576, 576]
blk.6.attn_v.weight
F32
F32
[576, 64]
blk.6.ffn_down.weight
F32
F32
[1664, 576]
blk.6.ffn_gate.weight
F32
F32
[576, 1664]
blk.6.ffn_norm.weight
F32
F32
[576]
blk.6.ffn_up.weight
F32
F32
[576, 1664]
blk.7
blk.7.attn_k.weight
F32
F32
[576, 64]
blk.7.attn_norm.weight
F32
F32
[576]
blk.7.attn_output.weight
F32
F32
[576, 576]
blk.7.attn_q.weight
F32
F32
[576, 576]
blk.7.attn_v.weight
F32
F32
[576, 64]
blk.7.ffn_down.weight
F32
F32
[1664, 576]
blk.7.ffn_gate.weight
F32
F32
[576, 1664]
blk.7.ffn_norm.weight
F32
F32
[576]
blk.7.ffn_up.weight
F32
F32
[576, 1664]
blk.8
blk.8.attn_k.weight
F32
F32
[576, 64]
blk.8.attn_norm.weight
F32
F32
[576]
blk.8.attn_output.weight
F32
F32
[576, 576]
blk.8.attn_q.weight
F32
F32
[576, 576]
blk.8.attn_v.weight
F32
F32
[576, 64]
blk.8.ffn_down.weight
F32
F32
[1664, 576]
blk.8.ffn_gate.weight
F32
F32
[576, 1664]
blk.8.ffn_norm.weight
F32
F32
[576]
blk.8.ffn_up.weight
F32
F32
[576, 1664]
blk.9
blk.9.attn_k.weight
F32
F32
[576, 64]
blk.9.attn_norm.weight
F32
F32
[576]
blk.9.attn_output.weight
F32
F32
[576, 576]
blk.9.attn_q.weight
F32
F32
[576, 576]
blk.9.attn_v.weight
F32
F32
[576, 64]
blk.9.ffn_down.weight
F32
F32
[1664, 576]
blk.9.ffn_gate.weight
F32
F32
[576, 1664]
blk.9.ffn_norm.weight
F32
F32
[576]
blk.9.ffn_up.weight
F32
F32
[576, 1664]
blk.10
blk.10.attn_k.weight
F32
F32
[576, 64]
blk.10.attn_norm.weight
F32
F32
[576]
blk.10.attn_output.weight
F32
F32
[576, 576]
blk.10.attn_q.weight
F32
F32
[576, 576]
blk.10.attn_v.weight
F32
F32
[576, 64]
blk.10.ffn_down.weight
F32
F32
[1664, 576]
blk.10.ffn_gate.weight
F32
F32
[576, 1664]
blk.10.ffn_norm.weight
F32
F32
[576]
blk.10.ffn_up.weight
F32
F32
[576, 1664]
blk.11
blk.11.attn_k.weight
F32
F32
[576, 64]
blk.11.attn_norm.weight
F32
F32
[576]
blk.11.attn_output.weight
F32
F32
[576, 576]
blk.11.attn_q.weight
F32
F32
[576, 576]
blk.11.attn_v.weight
F32
F32
[576, 64]
blk.11.ffn_down.weight
F32
F32
[1664, 576]
blk.11.ffn_gate.weight
F32
F32
[576, 1664]
blk.11.ffn_norm.weight
F32
F32
[576]
blk.11.ffn_up.weight
F32
F32
[576, 1664]
blk.12
blk.12.attn_k.weight
F32
F32
[576, 64]
blk.12.attn_norm.weight
F32
F32
[576]
blk.12.attn_output.weight
F32
F32
[576, 576]
blk.12.attn_q.weight
F32
F32
[576, 576]
blk.12.attn_v.weight
F32
F32
[576, 64]
blk.12.ffn_down.weight
F32
F32
[1664, 576]
blk.12.ffn_gate.weight
F32
F32
[576, 1664]
blk.12.ffn_norm.weight
F32
F32
[576]
blk.12.ffn_up.weight
F32
F32
[576, 1664]
blk.13
blk.13.attn_k.weight
F32
F32
[576, 64]
blk.13.attn_norm.weight
F32
F32
[576]
blk.13.attn_output.weight
F32
F32
[576, 576]
blk.13.attn_q.weight
F32
F32
[576, 576]
blk.13.attn_v.weight
F32
F32
[576, 64]
blk.13.ffn_down.weight
F32
F32
[1664, 576]
blk.13.ffn_gate.weight
F32
F32
[576, 1664]
blk.13.ffn_norm.weight
F32
F32
[576]
blk.13.ffn_up.weight
F32
F32
[576, 1664]
output.weight
F32
F32
[576, 16644]
output_norm.weight
F32
F32
[576]