fzkun/minimind3-ascend-moe/model

fzkun/ minimind3-ascend-moe:latest

21 Downloads Updated 1 month ago

基于昇腾910B纯国产环境，从零训练。

tools thinking 198m

minimind3-ascend-moe:latest ... /

model

eec44df133d0 · 397MB

Metadata

general.architecture

qwen3moe

qwen3moe
general.file_type

F16

F16
qwen3moe.attention.head_count

8

8
qwen3moe.attention.head_count_kv

4

4
qwen3moe.attention.key_length

96

96
qwen3moe.attention.layer_norm_rms_epsilon

1e-06

1e-06
qwen3moe.attention.value_length

96

96
qwen3moe.block_count

8

8
qwen3moe.context_length

8192

8192
qwen3moe.embedding_length

768

768
qwen3moe.expert_count

4

4
qwen3moe.expert_feed_forward_length

2432

2432
qwen3moe.expert_used_count

1

1
qwen3moe.feed_forward_length

2432

2432
qwen3moe.rope.freq_base

1e+06

1e+06
tokenizer.ggml.add_bos_token

false

false
tokenizer.ggml.add_eos_token

false

false
tokenizer.ggml.bos_token_id

1

1
tokenizer.ggml.eos_token_id

2

2
tokenizer.ggml.merges

[ï ¼, ä ¸, ï¼ Į, ç ļ, çļ Ħ, ...]

[ï ¼, ä ¸, ï¼ Į, ç ļ, çļ Ħ, ...]
tokenizer.ggml.model

gpt2

gpt2
tokenizer.ggml.padding_token_id

0

0
tokenizer.ggml.pre

qwen2

qwen2
tokenizer.ggml.token_type

[3, 3, 3, 3, 3, ...]

[3, 3, 3, 3, 3, ...]
tokenizer.ggml.tokens

[<|endoftext|>, <|im_start|>, <|im_end|>, <|object_ref_start|>, <|object_ref_end|>, ...]

[<|endoftext|>, <|im_start|>, <|im_end|>, <|object_ref_start|>, <|object_ref_end|>, ...]
tokenizer.ggml.unknown_token_id

0

0

Tensor

Name

Type

Shape
token_embd.weight

F16

F16

[768, 6400]

blk.0

blk.0.attn_k.weight

F16

F16

[768, 384]
blk.0.attn_k_norm.weight

F32

F32

[96]
blk.0.attn_norm.weight

F32

F32

[768]
blk.0.attn_output.weight

F16

F16

[768, 768]
blk.0.attn_q.weight

F16

F16

[768, 768]
blk.0.attn_q_norm.weight

F32

F32

[96]
blk.0.attn_v.weight

F16

F16

[768, 384]
blk.0.ffn_down_exps.weight

F16

F16

[2432, 768, 4]
blk.0.ffn_gate_exps.weight

F16

F16

[768, 2432, 4]
blk.0.ffn_gate_inp.weight

F32

F32

[768, 4]
blk.0.ffn_norm.weight

F32

F32

[768]
blk.0.ffn_up_exps.weight

F16

F16

[768, 2432, 4]

blk.1

blk.1.attn_k.weight

F16

F16

[768, 384]
blk.1.attn_k_norm.weight

F32

F32

[96]
blk.1.attn_norm.weight

F32

F32

[768]
blk.1.attn_output.weight

F16

F16

[768, 768]
blk.1.attn_q.weight

F16

F16

[768, 768]
blk.1.attn_q_norm.weight

F32

F32

[96]
blk.1.attn_v.weight

F16

F16

[768, 384]
blk.1.ffn_down_exps.weight

F16

F16

[2432, 768, 4]
blk.1.ffn_gate_exps.weight

F16

F16

[768, 2432, 4]
blk.1.ffn_gate_inp.weight

F32

F32

[768, 4]
blk.1.ffn_norm.weight

F32

F32

[768]
blk.1.ffn_up_exps.weight

F16

F16

[768, 2432, 4]

blk.2

blk.2.attn_k.weight

F16

F16

[768, 384]
blk.2.attn_k_norm.weight

F32

F32

[96]
blk.2.attn_norm.weight

F32

F32

[768]
blk.2.attn_output.weight

F16

F16

[768, 768]
blk.2.attn_q.weight

F16

F16

[768, 768]
blk.2.attn_q_norm.weight

F32

F32

[96]
blk.2.attn_v.weight

F16

F16

[768, 384]
blk.2.ffn_down_exps.weight

F16

F16

[2432, 768, 4]
blk.2.ffn_gate_exps.weight

F16

F16

[768, 2432, 4]
blk.2.ffn_gate_inp.weight

F32

F32

[768, 4]
blk.2.ffn_norm.weight

F32

F32

[768]
blk.2.ffn_up_exps.weight

F16

F16

[768, 2432, 4]

blk.3

blk.3.attn_k.weight

F16

F16

[768, 384]
blk.3.attn_k_norm.weight

F32

F32

[96]
blk.3.attn_norm.weight

F32

F32

[768]
blk.3.attn_output.weight

F16

F16

[768, 768]
blk.3.attn_q.weight

F16

F16

[768, 768]
blk.3.attn_q_norm.weight

F32

F32

[96]
blk.3.attn_v.weight

F16

F16

[768, 384]
blk.3.ffn_down_exps.weight

F16

F16

[2432, 768, 4]
blk.3.ffn_gate_exps.weight

F16

F16

[768, 2432, 4]
blk.3.ffn_gate_inp.weight

F32

F32

[768, 4]
blk.3.ffn_norm.weight

F32

F32

[768]
blk.3.ffn_up_exps.weight

F16

F16

[768, 2432, 4]

blk.4

blk.4.attn_k.weight

F16

F16

[768, 384]
blk.4.attn_k_norm.weight

F32

F32

[96]
blk.4.attn_norm.weight

F32

F32

[768]
blk.4.attn_output.weight

F16

F16

[768, 768]
blk.4.attn_q.weight

F16

F16

[768, 768]
blk.4.attn_q_norm.weight

F32

F32

[96]
blk.4.attn_v.weight

F16

F16

[768, 384]
blk.4.ffn_down_exps.weight

F16

F16

[2432, 768, 4]
blk.4.ffn_gate_exps.weight

F16

F16

[768, 2432, 4]
blk.4.ffn_gate_inp.weight

F32

F32

[768, 4]
blk.4.ffn_norm.weight

F32

F32

[768]
blk.4.ffn_up_exps.weight

F16

F16

[768, 2432, 4]

blk.5

blk.5.attn_k.weight

F16

F16

[768, 384]
blk.5.attn_k_norm.weight

F32

F32

[96]
blk.5.attn_norm.weight

F32

F32

[768]
blk.5.attn_output.weight

F16

F16

[768, 768]
blk.5.attn_q.weight

F16

F16

[768, 768]
blk.5.attn_q_norm.weight

F32

F32

[96]
blk.5.attn_v.weight

F16

F16

[768, 384]
blk.5.ffn_down_exps.weight

F16

F16

[2432, 768, 4]
blk.5.ffn_gate_exps.weight

F16

F16

[768, 2432, 4]
blk.5.ffn_gate_inp.weight

F32

F32

[768, 4]
blk.5.ffn_norm.weight

F32

F32

[768]
blk.5.ffn_up_exps.weight

F16

F16

[768, 2432, 4]

blk.6

blk.6.attn_k.weight

F16

F16

[768, 384]
blk.6.attn_k_norm.weight

F32

F32

[96]
blk.6.attn_norm.weight

F32

F32

[768]
blk.6.attn_output.weight

F16

F16

[768, 768]
blk.6.attn_q.weight

F16

F16

[768, 768]
blk.6.attn_q_norm.weight

F32

F32

[96]
blk.6.attn_v.weight

F16

F16

[768, 384]
blk.6.ffn_down_exps.weight

F16

F16

[2432, 768, 4]
blk.6.ffn_gate_exps.weight

F16

F16

[768, 2432, 4]
blk.6.ffn_gate_inp.weight

F32

F32

[768, 4]
blk.6.ffn_norm.weight

F32

F32

[768]
blk.6.ffn_up_exps.weight

F16

F16

[768, 2432, 4]

blk.7

blk.7.attn_k.weight

F16

F16

[768, 384]
blk.7.attn_k_norm.weight

F32

F32

[96]
blk.7.attn_norm.weight

F32

F32

[768]
blk.7.attn_output.weight

F16

F16

[768, 768]
blk.7.attn_q.weight

F16

F16

[768, 768]
blk.7.attn_q_norm.weight

F32

F32

[96]
blk.7.attn_v.weight

F16

F16

[768, 384]
blk.7.ffn_down_exps.weight

F16

F16

[2432, 768, 4]
blk.7.ffn_gate_exps.weight

F16

F16

[768, 2432, 4]
blk.7.ffn_gate_inp.weight

F32

F32

[768, 4]
blk.7.ffn_norm.weight

F32

F32

[768]
blk.7.ffn_up_exps.weight

F16

F16

[768, 2432, 4]

output_norm.weight

F32

F32

[768]