GitHub
183.3K
Download
Models
Docs
Pricing
Sign in
Download
Models
Docs
Pricing
Sign in
jersobh
/
phi-law-ollama
:latest
3
Downloads
Updated
1 year ago
Cancel
phi-law-ollama:latest
...
/
model
13f4db119ae0 · 445MB
Metadata
general.architecture
phi3
phi3
general.file_type
F16
F16
phi3.attention.head_count
32
32
phi3.attention.head_count_kv
32
32
phi3.attention.layer_norm_rms_epsilon
1e-05
1e-05
phi3.attention.sliding_window
2047
2047
phi3.block_count
32
32
phi3.context_length
4096
4096
phi3.embedding_length
3072
3072
phi3.feed_forward_length
8192
8192
phi3.rope.dimension_count
96
96
phi3.rope.freq_base
10000
10000
phi3.rope.scaling.original_context_length
4096
4096
tokenizer.ggml.add_bos_token
false
false
tokenizer.ggml.add_eos_token
false
false
tokenizer.ggml.add_padding_token
false
false
tokenizer.ggml.add_unknown_token
false
false
tokenizer.ggml.bos_token_id
1
1
tokenizer.ggml.eos_token_id
32000
32000
tokenizer.ggml.merges
[▁ t, e r, i n, ▁ a, e n, ...]
[▁ t, e r, i n, ▁ a, e n, ...]
tokenizer.ggml.model
llama
llama
tokenizer.ggml.padding_token_id
32000
32000
tokenizer.ggml.pre
default
default
tokenizer.ggml.scores
[0, 0, 0, 0, 0, ...]
[0, 0, 0, 0, 0, ...]
tokenizer.ggml.token_type
[2, 3, 3, 6, 6, ...]
[2, 3, 3, 6, 6, ...]
tokenizer.ggml.tokens
[<unk>, <s>, </s>, <0x00>, <0x01>, ...]
[<unk>, <s>, </s>, <0x00>, <0x01>, ...]
tokenizer.ggml.unknown_token_id
0
0
Tensor
Name
Type
Shape
base_model.model.blk.0
base_model.model.blk.0.attn_output.lora_A.weight
F16
F16
[3072, 16]
base_model.model.blk.0.attn_output.lora_B.weight
F16
F16
[16, 3072]
base_model.model.blk.0.attn_qkv.lora_A.weight
F16
F16
[3072, 16]
base_model.model.blk.0.attn_qkv.lora_B.weight
F16
F16
[16, 9216]
base_model.model.blk.0.ffn_down.lora_A.weight
F16
F16
[8192, 16]
base_model.model.blk.0.ffn_down.lora_B.weight
F16
F16
[16, 3072]
base_model.model.blk.0.ffn_up.lora_A.weight
F16
F16
[3072, 16]
base_model.model.blk.0.ffn_up.lora_B.weight
F16
F16
[16, 16384]
base_model.model.blk.1
base_model.model.blk.1.attn_output.lora_A.weight
F16
F16
[3072, 16]
base_model.model.blk.1.attn_output.lora_B.weight
F16
F16
[16, 3072]
base_model.model.blk.1.attn_qkv.lora_A.weight
F16
F16
[3072, 16]
base_model.model.blk.1.attn_qkv.lora_B.weight
F16
F16
[16, 9216]
base_model.model.blk.1.ffn_down.lora_A.weight
F16
F16
[8192, 16]
base_model.model.blk.1.ffn_down.lora_B.weight
F16
F16
[16, 3072]
base_model.model.blk.1.ffn_up.lora_A.weight
F16
F16
[3072, 16]
base_model.model.blk.1.ffn_up.lora_B.weight
F16
F16
[16, 16384]
base_model.model.blk.2
base_model.model.blk.2.attn_output.lora_A.weight
F16
F16
[3072, 16]
base_model.model.blk.2.attn_output.lora_B.weight
F16
F16
[16, 3072]
base_model.model.blk.2.attn_qkv.lora_A.weight
F16
F16
[3072, 16]
base_model.model.blk.2.attn_qkv.lora_B.weight
F16
F16
[16, 9216]
base_model.model.blk.2.ffn_down.lora_A.weight
F16
F16
[8192, 16]
base_model.model.blk.2.ffn_down.lora_B.weight
F16
F16
[16, 3072]
base_model.model.blk.2.ffn_up.lora_A.weight
F16
F16
[3072, 16]
base_model.model.blk.2.ffn_up.lora_B.weight
F16
F16
[16, 16384]
base_model.model.blk.3
base_model.model.blk.3.attn_output.lora_A.weight
F16
F16
[3072, 16]
base_model.model.blk.3.attn_output.lora_B.weight
F16
F16
[16, 3072]
base_model.model.blk.3.attn_qkv.lora_A.weight
F16
F16
[3072, 16]
base_model.model.blk.3.attn_qkv.lora_B.weight
F16
F16
[16, 9216]
base_model.model.blk.3.ffn_down.lora_A.weight
F16
F16
[8192, 16]
base_model.model.blk.3.ffn_down.lora_B.weight
F16
F16
[16, 3072]
base_model.model.blk.3.ffn_up.lora_A.weight
F16
F16
[3072, 16]
base_model.model.blk.3.ffn_up.lora_B.weight
F16
F16
[16, 16384]
base_model.model.blk.4
base_model.model.blk.4.attn_output.lora_A.weight
F16
F16
[3072, 16]
base_model.model.blk.4.attn_output.lora_B.weight
F16
F16
[16, 3072]
base_model.model.blk.4.attn_qkv.lora_A.weight
F16
F16
[3072, 16]
base_model.model.blk.4.attn_qkv.lora_B.weight
F16
F16
[16, 9216]
base_model.model.blk.4.ffn_down.lora_A.weight
F16
F16
[8192, 16]
base_model.model.blk.4.ffn_down.lora_B.weight
F16
F16
[16, 3072]
base_model.model.blk.4.ffn_up.lora_A.weight
F16
F16
[3072, 16]
base_model.model.blk.4.ffn_up.lora_B.weight
F16
F16
[16, 16384]
base_model.model.blk.5
base_model.model.blk.5.attn_output.lora_A.weight
F16
F16
[3072, 16]
base_model.model.blk.5.attn_output.lora_B.weight
F16
F16
[16, 3072]
base_model.model.blk.5.attn_qkv.lora_A.weight
F16
F16
[3072, 16]
base_model.model.blk.5.attn_qkv.lora_B.weight
F16
F16
[16, 9216]
base_model.model.blk.5.ffn_down.lora_A.weight
F16
F16
[8192, 16]
base_model.model.blk.5.ffn_down.lora_B.weight
F16
F16
[16, 3072]
base_model.model.blk.5.ffn_up.lora_A.weight
F16
F16
[3072, 16]
base_model.model.blk.5.ffn_up.lora_B.weight
F16
F16
[16, 16384]
base_model.model.blk.6
base_model.model.blk.6.attn_output.lora_A.weight
F16
F16
[3072, 16]
base_model.model.blk.6.attn_output.lora_B.weight
F16
F16
[16, 3072]
base_model.model.blk.6.attn_qkv.lora_A.weight
F16
F16
[3072, 16]
base_model.model.blk.6.attn_qkv.lora_B.weight
F16
F16
[16, 9216]
base_model.model.blk.6.ffn_down.lora_A.weight
F16
F16
[8192, 16]
base_model.model.blk.6.ffn_down.lora_B.weight
F16
F16
[16, 3072]
base_model.model.blk.6.ffn_up.lora_A.weight
F16
F16
[3072, 16]
base_model.model.blk.6.ffn_up.lora_B.weight
F16
F16
[16, 16384]
base_model.model.blk.7
base_model.model.blk.7.attn_output.lora_A.weight
F16
F16
[3072, 16]
base_model.model.blk.7.attn_output.lora_B.weight
F16
F16
[16, 3072]
base_model.model.blk.7.attn_qkv.lora_A.weight
F16
F16
[3072, 16]
base_model.model.blk.7.attn_qkv.lora_B.weight
F16
F16
[16, 9216]
base_model.model.blk.7.ffn_down.lora_A.weight
F16
F16
[8192, 16]
base_model.model.blk.7.ffn_down.lora_B.weight
F16
F16
[16, 3072]
base_model.model.blk.7.ffn_up.lora_A.weight
F16
F16
[3072, 16]
base_model.model.blk.7.ffn_up.lora_B.weight
F16
F16
[16, 16384]
base_model.model.blk.8
base_model.model.blk.8.attn_output.lora_A.weight
F16
F16
[3072, 16]
base_model.model.blk.8.attn_output.lora_B.weight
F16
F16
[16, 3072]
base_model.model.blk.8.attn_qkv.lora_A.weight
F16
F16
[3072, 16]
base_model.model.blk.8.attn_qkv.lora_B.weight
F16
F16
[16, 9216]
base_model.model.blk.8.ffn_down.lora_A.weight
F16
F16
[8192, 16]
base_model.model.blk.8.ffn_down.lora_B.weight
F16
F16
[16, 3072]
base_model.model.blk.8.ffn_up.lora_A.weight
F16
F16
[3072, 16]
base_model.model.blk.8.ffn_up.lora_B.weight
F16
F16
[16, 16384]
base_model.model.blk.9
base_model.model.blk.9.attn_output.lora_A.weight
F16
F16
[3072, 16]
base_model.model.blk.9.attn_output.lora_B.weight
F16
F16
[16, 3072]
base_model.model.blk.9.attn_qkv.lora_A.weight
F16
F16
[3072, 16]
base_model.model.blk.9.attn_qkv.lora_B.weight
F16
F16
[16, 9216]
base_model.model.blk.9.ffn_down.lora_A.weight
F16
F16
[8192, 16]
base_model.model.blk.9.ffn_down.lora_B.weight
F16
F16
[16, 3072]
base_model.model.blk.9.ffn_up.lora_A.weight
F16
F16
[3072, 16]
base_model.model.blk.9.ffn_up.lora_B.weight
F16
F16
[16, 16384]
base_model.model.blk.10
base_model.model.blk.10.attn_output.lora_A.weight
F16
F16
[3072, 16]
base_model.model.blk.10.attn_output.lora_B.weight
F16
F16
[16, 3072]
base_model.model.blk.10.attn_qkv.lora_A.weight
F16
F16
[3072, 16]
base_model.model.blk.10.attn_qkv.lora_B.weight
F16
F16
[16, 9216]
base_model.model.blk.10.ffn_down.lora_A.weight
F16
F16
[8192, 16]
base_model.model.blk.10.ffn_down.lora_B.weight
F16
F16
[16, 3072]
base_model.model.blk.10.ffn_up.lora_A.weight
F16
F16
[3072, 16]
base_model.model.blk.10.ffn_up.lora_B.weight
F16
F16
[16, 16384]
base_model.model.blk.11
base_model.model.blk.11.attn_output.lora_A.weight
F16
F16
[3072, 16]
base_model.model.blk.11.attn_output.lora_B.weight
F16
F16
[16, 3072]
base_model.model.blk.11.attn_qkv.lora_A.weight
F16
F16
[3072, 16]
base_model.model.blk.11.attn_qkv.lora_B.weight
F16
F16
[16, 9216]
base_model.model.blk.11.ffn_down.lora_A.weight
F16
F16
[8192, 16]
base_model.model.blk.11.ffn_down.lora_B.weight
F16
F16
[16, 3072]
base_model.model.blk.11.ffn_up.lora_A.weight
F16
F16
[3072, 16]
base_model.model.blk.11.ffn_up.lora_B.weight
F16
F16
[16, 16384]
base_model.model.blk.12
base_model.model.blk.12.attn_output.lora_A.weight
F16
F16
[3072, 16]
base_model.model.blk.12.attn_output.lora_B.weight
F16
F16
[16, 3072]
base_model.model.blk.12.attn_qkv.lora_A.weight
F16
F16
[3072, 16]
base_model.model.blk.12.attn_qkv.lora_B.weight
F16
F16
[16, 9216]
base_model.model.blk.12.ffn_down.lora_A.weight
F16
F16
[8192, 16]
base_model.model.blk.12.ffn_down.lora_B.weight
F16
F16
[16, 3072]
base_model.model.blk.12.ffn_up.lora_A.weight
F16
F16
[3072, 16]
base_model.model.blk.12.ffn_up.lora_B.weight
F16
F16
[16, 16384]
base_model.model.blk.13
base_model.model.blk.13.attn_output.lora_A.weight
F16
F16
[3072, 16]
base_model.model.blk.13.attn_output.lora_B.weight
F16
F16
[16, 3072]
base_model.model.blk.13.attn_qkv.lora_A.weight
F16
F16
[3072, 16]
base_model.model.blk.13.attn_qkv.lora_B.weight
F16
F16
[16, 9216]
base_model.model.blk.13.ffn_down.lora_A.weight
F16
F16
[8192, 16]
base_model.model.blk.13.ffn_down.lora_B.weight
F16
F16
[16, 3072]
base_model.model.blk.13.ffn_up.lora_A.weight
F16
F16
[3072, 16]
base_model.model.blk.13.ffn_up.lora_B.weight
F16
F16
[16, 16384]
base_model.model.blk.14
base_model.model.blk.14.attn_output.lora_A.weight
F16
F16
[3072, 16]
base_model.model.blk.14.attn_output.lora_B.weight
F16
F16
[16, 3072]
base_model.model.blk.14.attn_qkv.lora_A.weight
F16
F16
[3072, 16]
base_model.model.blk.14.attn_qkv.lora_B.weight
F16
F16
[16, 9216]
base_model.model.blk.14.ffn_down.lora_A.weight
F16
F16
[8192, 16]
base_model.model.blk.14.ffn_down.lora_B.weight
F16
F16
[16, 3072]
base_model.model.blk.14.ffn_up.lora_A.weight
F16
F16
[3072, 16]
base_model.model.blk.14.ffn_up.lora_B.weight
F16
F16
[16, 16384]
base_model.model.blk.15
base_model.model.blk.15.attn_output.lora_A.weight
F16
F16
[3072, 16]
base_model.model.blk.15.attn_output.lora_B.weight
F16
F16
[16, 3072]
base_model.model.blk.15.attn_qkv.lora_A.weight
F16
F16
[3072, 16]
base_model.model.blk.15.attn_qkv.lora_B.weight
F16
F16
[16, 9216]
base_model.model.blk.15.ffn_down.lora_A.weight
F16
F16
[8192, 16]
base_model.model.blk.15.ffn_down.lora_B.weight
F16
F16
[16, 3072]
base_model.model.blk.15.ffn_up.lora_A.weight
F16
F16
[3072, 16]
base_model.model.blk.15.ffn_up.lora_B.weight
F16
F16
[16, 16384]
base_model.model.blk.16
base_model.model.blk.16.attn_output.lora_A.weight
F16
F16
[3072, 16]
base_model.model.blk.16.attn_output.lora_B.weight
F16
F16
[16, 3072]
base_model.model.blk.16.attn_qkv.lora_A.weight
F16
F16
[3072, 16]
base_model.model.blk.16.attn_qkv.lora_B.weight
F16
F16
[16, 9216]
base_model.model.blk.16.ffn_down.lora_A.weight
F16
F16
[8192, 16]
base_model.model.blk.16.ffn_down.lora_B.weight
F16
F16
[16, 3072]
base_model.model.blk.16.ffn_up.lora_A.weight
F16
F16
[3072, 16]
base_model.model.blk.16.ffn_up.lora_B.weight
F16
F16
[16, 16384]
base_model.model.blk.17
base_model.model.blk.17.attn_output.lora_A.weight
F16
F16
[3072, 16]
base_model.model.blk.17.attn_output.lora_B.weight
F16
F16
[16, 3072]
base_model.model.blk.17.attn_qkv.lora_A.weight
F16
F16
[3072, 16]
base_model.model.blk.17.attn_qkv.lora_B.weight
F16
F16
[16, 9216]
base_model.model.blk.17.ffn_down.lora_A.weight
F16
F16
[8192, 16]
base_model.model.blk.17.ffn_down.lora_B.weight
F16
F16
[16, 3072]
base_model.model.blk.17.ffn_up.lora_A.weight
F16
F16
[3072, 16]
base_model.model.blk.17.ffn_up.lora_B.weight
F16
F16
[16, 16384]
base_model.model.blk.18
base_model.model.blk.18.attn_output.lora_A.weight
F16
F16
[3072, 16]
base_model.model.blk.18.attn_output.lora_B.weight
F16
F16
[16, 3072]
base_model.model.blk.18.attn_qkv.lora_A.weight
F16
F16
[3072, 16]
base_model.model.blk.18.attn_qkv.lora_B.weight
F16
F16
[16, 9216]
base_model.model.blk.18.ffn_down.lora_A.weight
F16
F16
[8192, 16]
base_model.model.blk.18.ffn_down.lora_B.weight
F16
F16
[16, 3072]
base_model.model.blk.18.ffn_up.lora_A.weight
F16
F16
[3072, 16]
base_model.model.blk.18.ffn_up.lora_B.weight
F16
F16
[16, 16384]
base_model.model.blk.19
base_model.model.blk.19.attn_output.lora_A.weight
F16
F16
[3072, 16]
base_model.model.blk.19.attn_output.lora_B.weight
F16
F16
[16, 3072]
base_model.model.blk.19.attn_qkv.lora_A.weight
F16
F16
[3072, 16]
base_model.model.blk.19.attn_qkv.lora_B.weight
F16
F16
[16, 9216]
base_model.model.blk.19.ffn_down.lora_A.weight
F16
F16
[8192, 16]
base_model.model.blk.19.ffn_down.lora_B.weight
F16
F16
[16, 3072]
base_model.model.blk.19.ffn_up.lora_A.weight
F16
F16
[3072, 16]
base_model.model.blk.19.ffn_up.lora_B.weight
F16
F16
[16, 16384]
base_model.model.blk.20
base_model.model.blk.20.attn_output.lora_A.weight
F16
F16
[3072, 16]
base_model.model.blk.20.attn_output.lora_B.weight
F16
F16
[16, 3072]
base_model.model.blk.20.attn_qkv.lora_A.weight
F16
F16
[3072, 16]
base_model.model.blk.20.attn_qkv.lora_B.weight
F16
F16
[16, 9216]
base_model.model.blk.20.ffn_down.lora_A.weight
F16
F16
[8192, 16]
base_model.model.blk.20.ffn_down.lora_B.weight
F16
F16
[16, 3072]
base_model.model.blk.20.ffn_up.lora_A.weight
F16
F16
[3072, 16]
base_model.model.blk.20.ffn_up.lora_B.weight
F16
F16
[16, 16384]
base_model.model.blk.21
base_model.model.blk.21.attn_output.lora_A.weight
F16
F16
[3072, 16]
base_model.model.blk.21.attn_output.lora_B.weight
F16
F16
[16, 3072]
base_model.model.blk.21.attn_qkv.lora_A.weight
F16
F16
[3072, 16]
base_model.model.blk.21.attn_qkv.lora_B.weight
F16
F16
[16, 9216]
base_model.model.blk.21.ffn_down.lora_A.weight
F16
F16
[8192, 16]
base_model.model.blk.21.ffn_down.lora_B.weight
F16
F16
[16, 3072]
base_model.model.blk.21.ffn_up.lora_A.weight
F16
F16
[3072, 16]
base_model.model.blk.21.ffn_up.lora_B.weight
F16
F16
[16, 16384]
base_model.model.blk.22
base_model.model.blk.22.attn_output.lora_A.weight
F16
F16
[3072, 16]
base_model.model.blk.22.attn_output.lora_B.weight
F16
F16
[16, 3072]
base_model.model.blk.22.attn_qkv.lora_A.weight
F16
F16
[3072, 16]
base_model.model.blk.22.attn_qkv.lora_B.weight
F16
F16
[16, 9216]
base_model.model.blk.22.ffn_down.lora_A.weight
F16
F16
[8192, 16]
base_model.model.blk.22.ffn_down.lora_B.weight
F16
F16
[16, 3072]
base_model.model.blk.22.ffn_up.lora_A.weight
F16
F16
[3072, 16]
base_model.model.blk.22.ffn_up.lora_B.weight
F16
F16
[16, 16384]
base_model.model.blk.23
base_model.model.blk.23.attn_output.lora_A.weight
F16
F16
[3072, 16]
base_model.model.blk.23.attn_output.lora_B.weight
F16
F16
[16, 3072]
base_model.model.blk.23.attn_qkv.lora_A.weight
F16
F16
[3072, 16]
base_model.model.blk.23.attn_qkv.lora_B.weight
F16
F16
[16, 9216]
base_model.model.blk.23.ffn_down.lora_A.weight
F16
F16
[8192, 16]
base_model.model.blk.23.ffn_down.lora_B.weight
F16
F16
[16, 3072]
base_model.model.blk.23.ffn_up.lora_A.weight
F16
F16
[3072, 16]
base_model.model.blk.23.ffn_up.lora_B.weight
F16
F16
[16, 16384]
base_model.model.blk.24
base_model.model.blk.24.attn_output.lora_A.weight
F16
F16
[3072, 16]
base_model.model.blk.24.attn_output.lora_B.weight
F16
F16
[16, 3072]
base_model.model.blk.24.attn_qkv.lora_A.weight
F16
F16
[3072, 16]
base_model.model.blk.24.attn_qkv.lora_B.weight
F16
F16
[16, 9216]
base_model.model.blk.24.ffn_down.lora_A.weight
F16
F16
[8192, 16]
base_model.model.blk.24.ffn_down.lora_B.weight
F16
F16
[16, 3072]
base_model.model.blk.24.ffn_up.lora_A.weight
F16
F16
[3072, 16]
base_model.model.blk.24.ffn_up.lora_B.weight
F16
F16
[16, 16384]
base_model.model.blk.25
base_model.model.blk.25.attn_output.lora_A.weight
F16
F16
[3072, 16]
base_model.model.blk.25.attn_output.lora_B.weight
F16
F16
[16, 3072]
base_model.model.blk.25.attn_qkv.lora_A.weight
F16
F16
[3072, 16]
base_model.model.blk.25.attn_qkv.lora_B.weight
F16
F16
[16, 9216]
base_model.model.blk.25.ffn_down.lora_A.weight
F16
F16
[8192, 16]
base_model.model.blk.25.ffn_down.lora_B.weight
F16
F16
[16, 3072]
base_model.model.blk.25.ffn_up.lora_A.weight
F16
F16
[3072, 16]
base_model.model.blk.25.ffn_up.lora_B.weight
F16
F16
[16, 16384]
base_model.model.blk.26
base_model.model.blk.26.attn_output.lora_A.weight
F16
F16
[3072, 16]
base_model.model.blk.26.attn_output.lora_B.weight
F16
F16
[16, 3072]
base_model.model.blk.26.attn_qkv.lora_A.weight
F16
F16
[3072, 16]
base_model.model.blk.26.attn_qkv.lora_B.weight
F16
F16
[16, 9216]
base_model.model.blk.26.ffn_down.lora_A.weight
F16
F16
[8192, 16]
base_model.model.blk.26.ffn_down.lora_B.weight
F16
F16
[16, 3072]
base_model.model.blk.26.ffn_up.lora_A.weight
F16
F16
[3072, 16]
base_model.model.blk.26.ffn_up.lora_B.weight
F16
F16
[16, 16384]
base_model.model.blk.27
base_model.model.blk.27.attn_output.lora_A.weight
F16
F16
[3072, 16]
base_model.model.blk.27.attn_output.lora_B.weight
F16
F16
[16, 3072]
base_model.model.blk.27.attn_qkv.lora_A.weight
F16
F16
[3072, 16]
base_model.model.blk.27.attn_qkv.lora_B.weight
F16
F16
[16, 9216]
base_model.model.blk.27.ffn_down.lora_A.weight
F16
F16
[8192, 16]
base_model.model.blk.27.ffn_down.lora_B.weight
F16
F16
[16, 3072]
base_model.model.blk.27.ffn_up.lora_A.weight
F16
F16
[3072, 16]
base_model.model.blk.27.ffn_up.lora_B.weight
F16
F16
[16, 16384]
base_model.model.blk.28
base_model.model.blk.28.attn_output.lora_A.weight
F16
F16
[3072, 16]
base_model.model.blk.28.attn_output.lora_B.weight
F16
F16
[16, 3072]
base_model.model.blk.28.attn_qkv.lora_A.weight
F16
F16
[3072, 16]
base_model.model.blk.28.attn_qkv.lora_B.weight
F16
F16
[16, 9216]
base_model.model.blk.28.ffn_down.lora_A.weight
F16
F16
[8192, 16]
base_model.model.blk.28.ffn_down.lora_B.weight
F16
F16
[16, 3072]
base_model.model.blk.28.ffn_up.lora_A.weight
F16
F16
[3072, 16]
base_model.model.blk.28.ffn_up.lora_B.weight
F16
F16
[16, 16384]
base_model.model.blk.29
base_model.model.blk.29.attn_output.lora_A.weight
F16
F16
[3072, 16]
base_model.model.blk.29.attn_output.lora_B.weight
F16
F16
[16, 3072]
base_model.model.blk.29.attn_qkv.lora_A.weight
F16
F16
[3072, 16]
base_model.model.blk.29.attn_qkv.lora_B.weight
F16
F16
[16, 9216]
base_model.model.blk.29.ffn_down.lora_A.weight
F16
F16
[8192, 16]
base_model.model.blk.29.ffn_down.lora_B.weight
F16
F16
[16, 3072]
base_model.model.blk.29.ffn_up.lora_A.weight
F16
F16
[3072, 16]
base_model.model.blk.29.ffn_up.lora_B.weight
F16
F16
[16, 16384]
base_model.model.blk.30
base_model.model.blk.30.attn_output.lora_A.weight
F16
F16
[3072, 16]
base_model.model.blk.30.attn_output.lora_B.weight
F16
F16
[16, 3072]
base_model.model.blk.30.attn_qkv.lora_A.weight
F16
F16
[3072, 16]
base_model.model.blk.30.attn_qkv.lora_B.weight
F16
F16
[16, 9216]
base_model.model.blk.30.ffn_down.lora_A.weight
F16
F16
[8192, 16]
base_model.model.blk.30.ffn_down.lora_B.weight
F16
F16
[16, 3072]
base_model.model.blk.30.ffn_up.lora_A.weight
F16
F16
[3072, 16]
base_model.model.blk.30.ffn_up.lora_B.weight
F16
F16
[16, 16384]
base_model.model.blk.31
base_model.model.blk.31.attn_output.lora_A.weight
F16
F16
[3072, 16]
base_model.model.blk.31.attn_output.lora_B.weight
F16
F16
[16, 3072]
base_model.model.blk.31.attn_qkv.lora_A.weight
F16
F16
[3072, 16]
base_model.model.blk.31.attn_qkv.lora_B.weight
F16
F16
[16, 9216]
base_model.model.blk.31.ffn_down.lora_A.weight
F16
F16
[8192, 16]
base_model.model.blk.31.ffn_down.lora_B.weight
F16
F16
[16, 3072]
base_model.model.blk.31.ffn_up.lora_A.weight
F16
F16
[3072, 16]
base_model.model.blk.31.ffn_up.lora_B.weight
F16
F16
[16, 16384]
base_model.model.output.weight
F16
F16
[3072, 32011]
base_model.model.token_embd.weight
F16
F16
[3072, 32011]