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lewismoten
/
palace-9
:q6-k
3
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yesterday
Predictive Autonomous Learning And N̵u̵c̵l̵e̵a̵r Command Evaluation Model
Predictive Autonomous Learning And N̵u̵c̵l̵e̵a̵r Command Evaluation Model
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palace-9:q6-k
...
/
model
797a3cd59d4d · 1.1MB
Metadata
general.architecture
qwen2moe
qwen2moe
general.file_type
Q6_K
Q6_K
qwen2moe.attention.head_count
9
9
qwen2moe.attention.head_count_kv
3
3
qwen2moe.attention.layer_norm_rms_epsilon
1e-06
1e-06
qwen2moe.block_count
1
1
qwen2moe.context_length
16
16
qwen2moe.embedding_length
36
36
qwen2moe.expert_count
9
9
qwen2moe.expert_feed_forward_length
18
18
qwen2moe.expert_shared_feed_forward_length
5632
5632
qwen2moe.expert_used_count
2
2
qwen2moe.feed_forward_length
72
72
qwen2moe.rope.freq_base
10000
10000
tokenizer.ggml.bos_token_id
1
1
tokenizer.ggml.eos_token_id
2
2
tokenizer.ggml.merges
[Ā Ā]
[Ā Ā]
tokenizer.ggml.model
gpt2
gpt2
tokenizer.ggml.padding_token_id
0
0
tokenizer.ggml.pre
gpt-2
gpt-2
tokenizer.ggml.token_type
[3, 3, 3, 3, 1, ...]
[3, 3, 3, 3, 1, ...]
tokenizer.ggml.tokens
[<pad>, <bos>, <eos>, <unk>, !, ...]
[<pad>, <bos>, <eos>, <unk>, !, ...]
tokenizer.ggml.unknown_token_id
3
3
Tensor
Name
Type
Shape
token_embd.weight
F16
F16
[36, 261]
blk.0
blk.0.attn_k.bias
F32
F32
[12]
blk.0.attn_k.weight
F16
F16
[36, 12]
blk.0.attn_norm.weight
F32
F32
[36]
blk.0.attn_output.weight
F16
F16
[36, 36]
blk.0.attn_q.bias
F32
F32
[36]
blk.0.attn_q.weight
F16
F16
[36, 36]
blk.0.attn_v.bias
F32
F32
[12]
blk.0.attn_v.weight
F16
F16
[36, 12]
blk.0.ffn_down_exps.weight
F16
F16
[18, 36, 9]
blk.0.ffn_down_shexp.weight
Q6_K
Q6_K
[5632, 36]
blk.0.ffn_gate_exps.weight
F16
F16
[36, 18, 9]
blk.0.ffn_gate_inp.weight
F32
F32
[36, 9]
blk.0.ffn_gate_inp_shexp.weight
F32
F32
[36]
blk.0.ffn_gate_shexp.weight
F16
F16
[36, 5632]
blk.0.ffn_norm.weight
F32
F32
[36]
blk.0.ffn_up_exps.weight
F16
F16
[36, 18, 9]
blk.0.ffn_up_shexp.weight
F16
F16
[36, 5632]
output.weight
F16
F16
[36, 261]
output_norm.weight
F32
F32
[36]