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jingyaogong
/
minimind2-small-r1
:latest
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minimind2-small-r1:latest
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model
6d9e1b2cf505 · 52MB
Metadata
general.architecture
llama
llama
general.file_type
F16
F16
llama.attention.head_count
8
8
llama.attention.head_count_kv
2
2
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
8
8
llama.context_length
32768
32768
llama.embedding_length
512
512
llama.feed_forward_length
1408
1408
llama.rope.dimension_count
64
64
llama.rope.freq_base
1e+06
1e+06
llama.vocab_size
6400
6400
tokenizer.ggml.add_bos_token
false
false
tokenizer.ggml.add_eos_token
false
false
tokenizer.ggml.add_space_prefix
false
false
tokenizer.ggml.bos_token_id
1
1
tokenizer.ggml.eos_token_id
2
2
tokenizer.ggml.merges
[Ġ t, Ġ a, i n, h e, r e, ...]
[Ġ t, Ġ a, i n, h e, r e, ...]
tokenizer.ggml.model
gpt2
gpt2
tokenizer.ggml.padding_token_id
0
0
tokenizer.ggml.pre
qwen2
qwen2
tokenizer.ggml.token_type
[3, 3, 3, 1, 1, ...]
[3, 3, 3, 1, 1, ...]
tokenizer.ggml.tokens
[<|endoftext|>, <|im_start|>, <|im_end|>, !, ", ...]
[<|endoftext|>, <|im_start|>, <|im_end|>, !, ", ...]
tokenizer.ggml.unknown_token_id
0
0
Tensor
Name
Type
Shape
token_embd.weight
F16
F16
[512, 6400]
blk.0
blk.0.attn_k.weight
F16
F16
[512, 128]
blk.0.attn_norm.weight
F32
F32
[512]
blk.0.attn_output.weight
F16
F16
[512, 512]
blk.0.attn_q.weight
F16
F16
[512, 512]
blk.0.attn_v.weight
F16
F16
[512, 128]
blk.0.ffn_down.weight
F16
F16
[1408, 512]
blk.0.ffn_gate.weight
F16
F16
[512, 1408]
blk.0.ffn_norm.weight
F32
F32
[512]
blk.0.ffn_up.weight
F16
F16
[512, 1408]
blk.1
blk.1.attn_k.weight
F16
F16
[512, 128]
blk.1.attn_norm.weight
F32
F32
[512]
blk.1.attn_output.weight
F16
F16
[512, 512]
blk.1.attn_q.weight
F16
F16
[512, 512]
blk.1.attn_v.weight
F16
F16
[512, 128]
blk.1.ffn_down.weight
F16
F16
[1408, 512]
blk.1.ffn_gate.weight
F16
F16
[512, 1408]
blk.1.ffn_norm.weight
F32
F32
[512]
blk.1.ffn_up.weight
F16
F16
[512, 1408]
blk.2
blk.2.attn_k.weight
F16
F16
[512, 128]
blk.2.attn_norm.weight
F32
F32
[512]
blk.2.attn_output.weight
F16
F16
[512, 512]
blk.2.attn_q.weight
F16
F16
[512, 512]
blk.2.attn_v.weight
F16
F16
[512, 128]
blk.2.ffn_down.weight
F16
F16
[1408, 512]
blk.2.ffn_gate.weight
F16
F16
[512, 1408]
blk.2.ffn_norm.weight
F32
F32
[512]
blk.2.ffn_up.weight
F16
F16
[512, 1408]
blk.3
blk.3.attn_k.weight
F16
F16
[512, 128]
blk.3.attn_norm.weight
F32
F32
[512]
blk.3.attn_output.weight
F16
F16
[512, 512]
blk.3.attn_q.weight
F16
F16
[512, 512]
blk.3.attn_v.weight
F16
F16
[512, 128]
blk.3.ffn_down.weight
F16
F16
[1408, 512]
blk.3.ffn_gate.weight
F16
F16
[512, 1408]
blk.3.ffn_norm.weight
F32
F32
[512]
blk.3.ffn_up.weight
F16
F16
[512, 1408]
blk.4
blk.4.attn_k.weight
F16
F16
[512, 128]
blk.4.attn_norm.weight
F32
F32
[512]
blk.4.attn_output.weight
F16
F16
[512, 512]
blk.4.attn_q.weight
F16
F16
[512, 512]
blk.4.attn_v.weight
F16
F16
[512, 128]
blk.4.ffn_down.weight
F16
F16
[1408, 512]
blk.4.ffn_gate.weight
F16
F16
[512, 1408]
blk.4.ffn_norm.weight
F32
F32
[512]
blk.4.ffn_up.weight
F16
F16
[512, 1408]
blk.5
blk.5.attn_k.weight
F16
F16
[512, 128]
blk.5.attn_norm.weight
F32
F32
[512]
blk.5.attn_output.weight
F16
F16
[512, 512]
blk.5.attn_q.weight
F16
F16
[512, 512]
blk.5.attn_v.weight
F16
F16
[512, 128]
blk.5.ffn_down.weight
F16
F16
[1408, 512]
blk.5.ffn_gate.weight
F16
F16
[512, 1408]
blk.5.ffn_norm.weight
F32
F32
[512]
blk.5.ffn_up.weight
F16
F16
[512, 1408]
blk.6
blk.6.attn_k.weight
F16
F16
[512, 128]
blk.6.attn_norm.weight
F32
F32
[512]
blk.6.attn_output.weight
F16
F16
[512, 512]
blk.6.attn_q.weight
F16
F16
[512, 512]
blk.6.attn_v.weight
F16
F16
[512, 128]
blk.6.ffn_down.weight
F16
F16
[1408, 512]
blk.6.ffn_gate.weight
F16
F16
[512, 1408]
blk.6.ffn_norm.weight
F32
F32
[512]
blk.6.ffn_up.weight
F16
F16
[512, 1408]
blk.7
blk.7.attn_k.weight
F16
F16
[512, 128]
blk.7.attn_norm.weight
F32
F32
[512]
blk.7.attn_output.weight
F16
F16
[512, 512]
blk.7.attn_q.weight
F16
F16
[512, 512]
blk.7.attn_v.weight
F16
F16
[512, 128]
blk.7.ffn_down.weight
F16
F16
[1408, 512]
blk.7.ffn_gate.weight
F16
F16
[512, 1408]
blk.7.ffn_norm.weight
F32
F32
[512]
blk.7.ffn_up.weight
F16
F16
[512, 1408]
output_norm.weight
F32
F32
[512]