English
sft
StableLM
bartowski commited on
Commit
6bfd25f
1 Parent(s): 9a60130

Quant for 3.75

Browse files
README.md CHANGED
@@ -13,30 +13,20 @@ datasets:
13
  quantized_by: bartowski
14
  ---
15
 
16
- ## Exllama v2 Quantizations of Nous-Capybara-34B
17
 
18
  Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.8">turboderp's ExLlamaV2 v0.0.8</a> for quantization.
19
 
20
- Each branch contains an individual bits per weight, with the main one containing only the meaurement.json for further conversions.
21
-
22
  Conversion was done using wikitext-103-raw-v1-test.parquet as calibration dataset.
23
 
24
  Original model: https://huggingface.co/NousResearch/Nous-Capybara-34B
25
-
26
- <a href="https://huggingface.co/bartowski/Nous-Capybara-34B-exl2/tree/4.0">4.0 bits per weight</a>
27
-
28
- <a href="https://huggingface.co/bartowski/Nous-Capybara-34B-exl2/tree/4.25">4.25 bits per weight</a>
29
-
30
- <a href="https://huggingface.co/bartowski/Nous-Capybara-34B-exl2/tree/6.0">6.0 bits per weight</a>
31
-
32
- <a href="https://huggingface.co/bartowski/Nous-Capybara-34B-exl2/tree/8.0">8.0 bits per weight</a>
33
 
34
  ## Download instructions
35
 
36
  With git:
37
 
38
  ```shell
39
- git clone --single-branch --branch 4.0 https://huggingface.co/bartowski/Nous-Capybara-34B-exl2
40
  ```
41
 
42
  With huggingface hub (credit to TheBloke for instructions):
@@ -45,16 +35,9 @@ With huggingface hub (credit to TheBloke for instructions):
45
  pip3 install huggingface-hub
46
  ```
47
 
48
- To download the `main` (only useful if you only care about measurement.json) branch to a folder called `Nous-Capybara-34B-exl2`:
49
-
50
- ```shell
51
- mkdir Nous-Capybara-34B-exl2
52
- huggingface-cli download bartowski/Nous-Capybara-34B-exl2 --local-dir Nous-Capybara-34B-exl2 --local-dir-use-symlinks False
53
- ```
54
-
55
  To download from a different branch, add the `--revision` parameter:
56
 
57
  ```shell
58
  mkdir Nous-Capybara-34B-exl2
59
- huggingface-cli download bartowski/Nous-Capybara-34B-exl2 --revision 4.0 --local-dir Nous-Capybara-34B-exl2 --local-dir-use-symlinks False
60
  ```
 
13
  quantized_by: bartowski
14
  ---
15
 
16
+ # Exllama v2 Quantizations of Nous-Capybara-34B at 8.0,6.0,4.25,4.0,3.75
17
 
18
  Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.8">turboderp's ExLlamaV2 v0.0.8</a> for quantization.
19
 
 
 
20
  Conversion was done using wikitext-103-raw-v1-test.parquet as calibration dataset.
21
 
22
  Original model: https://huggingface.co/NousResearch/Nous-Capybara-34B
 
 
 
 
 
 
 
 
23
 
24
  ## Download instructions
25
 
26
  With git:
27
 
28
  ```shell
29
+ git clone --single-branch --branch 8.0,6.0,4.25,4.0,3.75 https://huggingface.co/bartowski/Nous-Capybara-34B-exl2
30
  ```
31
 
32
  With huggingface hub (credit to TheBloke for instructions):
 
35
  pip3 install huggingface-hub
36
  ```
37
 
 
 
 
 
 
 
 
38
  To download from a different branch, add the `--revision` parameter:
39
 
40
  ```shell
41
  mkdir Nous-Capybara-34B-exl2
42
+ huggingface-cli download bartowski/Nous-Capybara-34B-exl2 --revision --local-dir Nous-Capybara-34B-exl2 --local-dir-use-symlinks False
43
  ```
config.json ADDED
@@ -0,0 +1,28 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "larryvrh/Yi-34B-200K-Llamafied",
3
+ "architectures": [
4
+ "LlamaForCausalLM"
5
+ ],
6
+ "attention_bias": false,
7
+ "bos_token_id": 1,
8
+ "eos_token_id": 2,
9
+ "hidden_act": "silu",
10
+ "hidden_size": 7168,
11
+ "initializer_range": 0.02,
12
+ "intermediate_size": 20480,
13
+ "max_position_embeddings": 200000,
14
+ "model_type": "llama",
15
+ "num_attention_heads": 56,
16
+ "num_hidden_layers": 60,
17
+ "num_key_value_heads": 8,
18
+ "pad_token_id": 0,
19
+ "pretraining_tp": 1,
20
+ "rms_norm_eps": 1e-05,
21
+ "rope_scaling": null,
22
+ "rope_theta": 5000000.0,
23
+ "tie_word_embeddings": false,
24
+ "torch_dtype": "bfloat16",
25
+ "transformers_version": "4.34.1",
26
+ "use_cache": true,
27
+ "vocab_size": 64000
28
+ }
generation_config.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "_from_model_config": true,
3
+ "bos_token_id": 1,
4
+ "eos_token_id": 2,
5
+ "pad_token_id": 0,
6
+ "transformers_version": "4.34.1"
7
+ }
output-00001-of-00002.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9c0f67e1bbb8ccd3714c0556232aa069ea76f86f334eff27e6badd10385345a8
3
+ size 8560010216
output-00002-of-00002.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9c7cc43eb51a005030906d40ac7c7a49b78149c284ed30338463be9e9828d91e
3
+ size 8432013632
pytorch_model.bin.index.json ADDED
@@ -0,0 +1,550 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metadata": {
3
+ "total_size": 68777834496
4
+ },
5
+ "weight_map": {
6
+ "lm_head.weight": "pytorch_model-00007-of-00007.bin",
7
+ "model.embed_tokens.weight": "pytorch_model-00001-of-00007.bin",
8
+ "model.layers.0.input_layernorm.weight": "pytorch_model-00001-of-00007.bin",
9
+ "model.layers.0.mlp.down_proj.weight": "pytorch_model-00001-of-00007.bin",
10
+ "model.layers.0.mlp.gate_proj.weight": "pytorch_model-00001-of-00007.bin",
11
+ "model.layers.0.mlp.up_proj.weight": "pytorch_model-00001-of-00007.bin",
12
+ "model.layers.0.post_attention_layernorm.weight": "pytorch_model-00001-of-00007.bin",
13
+ "model.layers.0.self_attn.k_proj.weight": "pytorch_model-00001-of-00007.bin",
14
+ "model.layers.0.self_attn.o_proj.weight": "pytorch_model-00001-of-00007.bin",
15
+ "model.layers.0.self_attn.q_proj.weight": "pytorch_model-00001-of-00007.bin",
16
+ "model.layers.0.self_attn.v_proj.weight": "pytorch_model-00001-of-00007.bin",
17
+ "model.layers.1.input_layernorm.weight": "pytorch_model-00001-of-00007.bin",
18
+ "model.layers.1.mlp.down_proj.weight": "pytorch_model-00001-of-00007.bin",
19
+ "model.layers.1.mlp.gate_proj.weight": "pytorch_model-00001-of-00007.bin",
20
+ "model.layers.1.mlp.up_proj.weight": "pytorch_model-00001-of-00007.bin",
21
+ "model.layers.1.post_attention_layernorm.weight": "pytorch_model-00001-of-00007.bin",
22
+ "model.layers.1.self_attn.k_proj.weight": "pytorch_model-00001-of-00007.bin",
23
+ "model.layers.1.self_attn.o_proj.weight": "pytorch_model-00001-of-00007.bin",
24
+ "model.layers.1.self_attn.q_proj.weight": "pytorch_model-00001-of-00007.bin",
25
+ "model.layers.1.self_attn.v_proj.weight": "pytorch_model-00001-of-00007.bin",
26
+ "model.layers.10.input_layernorm.weight": "pytorch_model-00002-of-00007.bin",
27
+ "model.layers.10.mlp.down_proj.weight": "pytorch_model-00002-of-00007.bin",
28
+ "model.layers.10.mlp.gate_proj.weight": "pytorch_model-00002-of-00007.bin",
29
+ "model.layers.10.mlp.up_proj.weight": "pytorch_model-00002-of-00007.bin",
30
+ "model.layers.10.post_attention_layernorm.weight": "pytorch_model-00002-of-00007.bin",
31
+ "model.layers.10.self_attn.k_proj.weight": "pytorch_model-00002-of-00007.bin",
32
+ "model.layers.10.self_attn.o_proj.weight": "pytorch_model-00002-of-00007.bin",
33
+ "model.layers.10.self_attn.q_proj.weight": "pytorch_model-00002-of-00007.bin",
34
+ "model.layers.10.self_attn.v_proj.weight": "pytorch_model-00002-of-00007.bin",
35
+ "model.layers.11.input_layernorm.weight": "pytorch_model-00002-of-00007.bin",
36
+ "model.layers.11.mlp.down_proj.weight": "pytorch_model-00002-of-00007.bin",
37
+ "model.layers.11.mlp.gate_proj.weight": "pytorch_model-00002-of-00007.bin",
38
+ "model.layers.11.mlp.up_proj.weight": "pytorch_model-00002-of-00007.bin",
39
+ "model.layers.11.post_attention_layernorm.weight": "pytorch_model-00002-of-00007.bin",
40
+ "model.layers.11.self_attn.k_proj.weight": "pytorch_model-00002-of-00007.bin",
41
+ "model.layers.11.self_attn.o_proj.weight": "pytorch_model-00002-of-00007.bin",
42
+ "model.layers.11.self_attn.q_proj.weight": "pytorch_model-00002-of-00007.bin",
43
+ "model.layers.11.self_attn.v_proj.weight": "pytorch_model-00002-of-00007.bin",
44
+ "model.layers.12.input_layernorm.weight": "pytorch_model-00002-of-00007.bin",
45
+ "model.layers.12.mlp.down_proj.weight": "pytorch_model-00002-of-00007.bin",
46
+ "model.layers.12.mlp.gate_proj.weight": "pytorch_model-00002-of-00007.bin",
47
+ "model.layers.12.mlp.up_proj.weight": "pytorch_model-00002-of-00007.bin",
48
+ "model.layers.12.post_attention_layernorm.weight": "pytorch_model-00002-of-00007.bin",
49
+ "model.layers.12.self_attn.k_proj.weight": "pytorch_model-00002-of-00007.bin",
50
+ "model.layers.12.self_attn.o_proj.weight": "pytorch_model-00002-of-00007.bin",
51
+ "model.layers.12.self_attn.q_proj.weight": "pytorch_model-00002-of-00007.bin",
52
+ "model.layers.12.self_attn.v_proj.weight": "pytorch_model-00002-of-00007.bin",
53
+ "model.layers.13.input_layernorm.weight": "pytorch_model-00002-of-00007.bin",
54
+ "model.layers.13.mlp.down_proj.weight": "pytorch_model-00002-of-00007.bin",
55
+ "model.layers.13.mlp.gate_proj.weight": "pytorch_model-00002-of-00007.bin",
56
+ "model.layers.13.mlp.up_proj.weight": "pytorch_model-00002-of-00007.bin",
57
+ "model.layers.13.post_attention_layernorm.weight": "pytorch_model-00002-of-00007.bin",
58
+ "model.layers.13.self_attn.k_proj.weight": "pytorch_model-00002-of-00007.bin",
59
+ "model.layers.13.self_attn.o_proj.weight": "pytorch_model-00002-of-00007.bin",
60
+ "model.layers.13.self_attn.q_proj.weight": "pytorch_model-00002-of-00007.bin",
61
+ "model.layers.13.self_attn.v_proj.weight": "pytorch_model-00002-of-00007.bin",
62
+ "model.layers.14.input_layernorm.weight": "pytorch_model-00002-of-00007.bin",
63
+ "model.layers.14.mlp.down_proj.weight": "pytorch_model-00002-of-00007.bin",
64
+ "model.layers.14.mlp.gate_proj.weight": "pytorch_model-00002-of-00007.bin",
65
+ "model.layers.14.mlp.up_proj.weight": "pytorch_model-00002-of-00007.bin",
66
+ "model.layers.14.post_attention_layernorm.weight": "pytorch_model-00002-of-00007.bin",
67
+ "model.layers.14.self_attn.k_proj.weight": "pytorch_model-00002-of-00007.bin",
68
+ "model.layers.14.self_attn.o_proj.weight": "pytorch_model-00002-of-00007.bin",
69
+ "model.layers.14.self_attn.q_proj.weight": "pytorch_model-00002-of-00007.bin",
70
+ "model.layers.14.self_attn.v_proj.weight": "pytorch_model-00002-of-00007.bin",
71
+ "model.layers.15.input_layernorm.weight": "pytorch_model-00002-of-00007.bin",
72
+ "model.layers.15.mlp.down_proj.weight": "pytorch_model-00002-of-00007.bin",
73
+ "model.layers.15.mlp.gate_proj.weight": "pytorch_model-00002-of-00007.bin",
74
+ "model.layers.15.mlp.up_proj.weight": "pytorch_model-00002-of-00007.bin",
75
+ "model.layers.15.post_attention_layernorm.weight": "pytorch_model-00002-of-00007.bin",
76
+ "model.layers.15.self_attn.k_proj.weight": "pytorch_model-00002-of-00007.bin",
77
+ "model.layers.15.self_attn.o_proj.weight": "pytorch_model-00002-of-00007.bin",
78
+ "model.layers.15.self_attn.q_proj.weight": "pytorch_model-00002-of-00007.bin",
79
+ "model.layers.15.self_attn.v_proj.weight": "pytorch_model-00002-of-00007.bin",
80
+ "model.layers.16.input_layernorm.weight": "pytorch_model-00002-of-00007.bin",
81
+ "model.layers.16.mlp.down_proj.weight": "pytorch_model-00002-of-00007.bin",
82
+ "model.layers.16.mlp.gate_proj.weight": "pytorch_model-00002-of-00007.bin",
83
+ "model.layers.16.mlp.up_proj.weight": "pytorch_model-00002-of-00007.bin",
84
+ "model.layers.16.post_attention_layernorm.weight": "pytorch_model-00002-of-00007.bin",
85
+ "model.layers.16.self_attn.k_proj.weight": "pytorch_model-00002-of-00007.bin",
86
+ "model.layers.16.self_attn.o_proj.weight": "pytorch_model-00002-of-00007.bin",
87
+ "model.layers.16.self_attn.q_proj.weight": "pytorch_model-00002-of-00007.bin",
88
+ "model.layers.16.self_attn.v_proj.weight": "pytorch_model-00002-of-00007.bin",
89
+ "model.layers.17.input_layernorm.weight": "pytorch_model-00003-of-00007.bin",
90
+ "model.layers.17.mlp.down_proj.weight": "pytorch_model-00003-of-00007.bin",
91
+ "model.layers.17.mlp.gate_proj.weight": "pytorch_model-00003-of-00007.bin",
92
+ "model.layers.17.mlp.up_proj.weight": "pytorch_model-00003-of-00007.bin",
93
+ "model.layers.17.post_attention_layernorm.weight": "pytorch_model-00003-of-00007.bin",
94
+ "model.layers.17.self_attn.k_proj.weight": "pytorch_model-00003-of-00007.bin",
95
+ "model.layers.17.self_attn.o_proj.weight": "pytorch_model-00003-of-00007.bin",
96
+ "model.layers.17.self_attn.q_proj.weight": "pytorch_model-00003-of-00007.bin",
97
+ "model.layers.17.self_attn.v_proj.weight": "pytorch_model-00003-of-00007.bin",
98
+ "model.layers.18.input_layernorm.weight": "pytorch_model-00003-of-00007.bin",
99
+ "model.layers.18.mlp.down_proj.weight": "pytorch_model-00003-of-00007.bin",
100
+ "model.layers.18.mlp.gate_proj.weight": "pytorch_model-00003-of-00007.bin",
101
+ "model.layers.18.mlp.up_proj.weight": "pytorch_model-00003-of-00007.bin",
102
+ "model.layers.18.post_attention_layernorm.weight": "pytorch_model-00003-of-00007.bin",
103
+ "model.layers.18.self_attn.k_proj.weight": "pytorch_model-00003-of-00007.bin",
104
+ "model.layers.18.self_attn.o_proj.weight": "pytorch_model-00003-of-00007.bin",
105
+ "model.layers.18.self_attn.q_proj.weight": "pytorch_model-00003-of-00007.bin",
106
+ "model.layers.18.self_attn.v_proj.weight": "pytorch_model-00003-of-00007.bin",
107
+ "model.layers.19.input_layernorm.weight": "pytorch_model-00003-of-00007.bin",
108
+ "model.layers.19.mlp.down_proj.weight": "pytorch_model-00003-of-00007.bin",
109
+ "model.layers.19.mlp.gate_proj.weight": "pytorch_model-00003-of-00007.bin",
110
+ "model.layers.19.mlp.up_proj.weight": "pytorch_model-00003-of-00007.bin",
111
+ "model.layers.19.post_attention_layernorm.weight": "pytorch_model-00003-of-00007.bin",
112
+ "model.layers.19.self_attn.k_proj.weight": "pytorch_model-00003-of-00007.bin",
113
+ "model.layers.19.self_attn.o_proj.weight": "pytorch_model-00003-of-00007.bin",
114
+ "model.layers.19.self_attn.q_proj.weight": "pytorch_model-00003-of-00007.bin",
115
+ "model.layers.19.self_attn.v_proj.weight": "pytorch_model-00003-of-00007.bin",
116
+ "model.layers.2.input_layernorm.weight": "pytorch_model-00001-of-00007.bin",
117
+ "model.layers.2.mlp.down_proj.weight": "pytorch_model-00001-of-00007.bin",
118
+ "model.layers.2.mlp.gate_proj.weight": "pytorch_model-00001-of-00007.bin",
119
+ "model.layers.2.mlp.up_proj.weight": "pytorch_model-00001-of-00007.bin",
120
+ "model.layers.2.post_attention_layernorm.weight": "pytorch_model-00001-of-00007.bin",
121
+ "model.layers.2.self_attn.k_proj.weight": "pytorch_model-00001-of-00007.bin",
122
+ "model.layers.2.self_attn.o_proj.weight": "pytorch_model-00001-of-00007.bin",
123
+ "model.layers.2.self_attn.q_proj.weight": "pytorch_model-00001-of-00007.bin",
124
+ "model.layers.2.self_attn.v_proj.weight": "pytorch_model-00001-of-00007.bin",
125
+ "model.layers.20.input_layernorm.weight": "pytorch_model-00003-of-00007.bin",
126
+ "model.layers.20.mlp.down_proj.weight": "pytorch_model-00003-of-00007.bin",
127
+ "model.layers.20.mlp.gate_proj.weight": "pytorch_model-00003-of-00007.bin",
128
+ "model.layers.20.mlp.up_proj.weight": "pytorch_model-00003-of-00007.bin",
129
+ "model.layers.20.post_attention_layernorm.weight": "pytorch_model-00003-of-00007.bin",
130
+ "model.layers.20.self_attn.k_proj.weight": "pytorch_model-00003-of-00007.bin",
131
+ "model.layers.20.self_attn.o_proj.weight": "pytorch_model-00003-of-00007.bin",
132
+ "model.layers.20.self_attn.q_proj.weight": "pytorch_model-00003-of-00007.bin",
133
+ "model.layers.20.self_attn.v_proj.weight": "pytorch_model-00003-of-00007.bin",
134
+ "model.layers.21.input_layernorm.weight": "pytorch_model-00003-of-00007.bin",
135
+ "model.layers.21.mlp.down_proj.weight": "pytorch_model-00003-of-00007.bin",
136
+ "model.layers.21.mlp.gate_proj.weight": "pytorch_model-00003-of-00007.bin",
137
+ "model.layers.21.mlp.up_proj.weight": "pytorch_model-00003-of-00007.bin",
138
+ "model.layers.21.post_attention_layernorm.weight": "pytorch_model-00003-of-00007.bin",
139
+ "model.layers.21.self_attn.k_proj.weight": "pytorch_model-00003-of-00007.bin",
140
+ "model.layers.21.self_attn.o_proj.weight": "pytorch_model-00003-of-00007.bin",
141
+ "model.layers.21.self_attn.q_proj.weight": "pytorch_model-00003-of-00007.bin",
142
+ "model.layers.21.self_attn.v_proj.weight": "pytorch_model-00003-of-00007.bin",
143
+ "model.layers.22.input_layernorm.weight": "pytorch_model-00003-of-00007.bin",
144
+ "model.layers.22.mlp.down_proj.weight": "pytorch_model-00003-of-00007.bin",
145
+ "model.layers.22.mlp.gate_proj.weight": "pytorch_model-00003-of-00007.bin",
146
+ "model.layers.22.mlp.up_proj.weight": "pytorch_model-00003-of-00007.bin",
147
+ "model.layers.22.post_attention_layernorm.weight": "pytorch_model-00003-of-00007.bin",
148
+ "model.layers.22.self_attn.k_proj.weight": "pytorch_model-00003-of-00007.bin",
149
+ "model.layers.22.self_attn.o_proj.weight": "pytorch_model-00003-of-00007.bin",
150
+ "model.layers.22.self_attn.q_proj.weight": "pytorch_model-00003-of-00007.bin",
151
+ "model.layers.22.self_attn.v_proj.weight": "pytorch_model-00003-of-00007.bin",
152
+ "model.layers.23.input_layernorm.weight": "pytorch_model-00003-of-00007.bin",
153
+ "model.layers.23.mlp.down_proj.weight": "pytorch_model-00003-of-00007.bin",
154
+ "model.layers.23.mlp.gate_proj.weight": "pytorch_model-00003-of-00007.bin",
155
+ "model.layers.23.mlp.up_proj.weight": "pytorch_model-00003-of-00007.bin",
156
+ "model.layers.23.post_attention_layernorm.weight": "pytorch_model-00003-of-00007.bin",
157
+ "model.layers.23.self_attn.k_proj.weight": "pytorch_model-00003-of-00007.bin",
158
+ "model.layers.23.self_attn.o_proj.weight": "pytorch_model-00003-of-00007.bin",
159
+ "model.layers.23.self_attn.q_proj.weight": "pytorch_model-00003-of-00007.bin",
160
+ "model.layers.23.self_attn.v_proj.weight": "pytorch_model-00003-of-00007.bin",
161
+ "model.layers.24.input_layernorm.weight": "pytorch_model-00003-of-00007.bin",
162
+ "model.layers.24.mlp.down_proj.weight": "pytorch_model-00003-of-00007.bin",
163
+ "model.layers.24.mlp.gate_proj.weight": "pytorch_model-00003-of-00007.bin",
164
+ "model.layers.24.mlp.up_proj.weight": "pytorch_model-00003-of-00007.bin",
165
+ "model.layers.24.post_attention_layernorm.weight": "pytorch_model-00003-of-00007.bin",
166
+ "model.layers.24.self_attn.k_proj.weight": "pytorch_model-00003-of-00007.bin",
167
+ "model.layers.24.self_attn.o_proj.weight": "pytorch_model-00003-of-00007.bin",
168
+ "model.layers.24.self_attn.q_proj.weight": "pytorch_model-00003-of-00007.bin",
169
+ "model.layers.24.self_attn.v_proj.weight": "pytorch_model-00003-of-00007.bin",
170
+ "model.layers.25.input_layernorm.weight": "pytorch_model-00004-of-00007.bin",
171
+ "model.layers.25.mlp.down_proj.weight": "pytorch_model-00004-of-00007.bin",
172
+ "model.layers.25.mlp.gate_proj.weight": "pytorch_model-00003-of-00007.bin",
173
+ "model.layers.25.mlp.up_proj.weight": "pytorch_model-00003-of-00007.bin",
174
+ "model.layers.25.post_attention_layernorm.weight": "pytorch_model-00004-of-00007.bin",
175
+ "model.layers.25.self_attn.k_proj.weight": "pytorch_model-00003-of-00007.bin",
176
+ "model.layers.25.self_attn.o_proj.weight": "pytorch_model-00003-of-00007.bin",
177
+ "model.layers.25.self_attn.q_proj.weight": "pytorch_model-00003-of-00007.bin",
178
+ "model.layers.25.self_attn.v_proj.weight": "pytorch_model-00003-of-00007.bin",
179
+ "model.layers.26.input_layernorm.weight": "pytorch_model-00004-of-00007.bin",
180
+ "model.layers.26.mlp.down_proj.weight": "pytorch_model-00004-of-00007.bin",
181
+ "model.layers.26.mlp.gate_proj.weight": "pytorch_model-00004-of-00007.bin",
182
+ "model.layers.26.mlp.up_proj.weight": "pytorch_model-00004-of-00007.bin",
183
+ "model.layers.26.post_attention_layernorm.weight": "pytorch_model-00004-of-00007.bin",
184
+ "model.layers.26.self_attn.k_proj.weight": "pytorch_model-00004-of-00007.bin",
185
+ "model.layers.26.self_attn.o_proj.weight": "pytorch_model-00004-of-00007.bin",
186
+ "model.layers.26.self_attn.q_proj.weight": "pytorch_model-00004-of-00007.bin",
187
+ "model.layers.26.self_attn.v_proj.weight": "pytorch_model-00004-of-00007.bin",
188
+ "model.layers.27.input_layernorm.weight": "pytorch_model-00004-of-00007.bin",
189
+ "model.layers.27.mlp.down_proj.weight": "pytorch_model-00004-of-00007.bin",
190
+ "model.layers.27.mlp.gate_proj.weight": "pytorch_model-00004-of-00007.bin",
191
+ "model.layers.27.mlp.up_proj.weight": "pytorch_model-00004-of-00007.bin",
192
+ "model.layers.27.post_attention_layernorm.weight": "pytorch_model-00004-of-00007.bin",
193
+ "model.layers.27.self_attn.k_proj.weight": "pytorch_model-00004-of-00007.bin",
194
+ "model.layers.27.self_attn.o_proj.weight": "pytorch_model-00004-of-00007.bin",
195
+ "model.layers.27.self_attn.q_proj.weight": "pytorch_model-00004-of-00007.bin",
196
+ "model.layers.27.self_attn.v_proj.weight": "pytorch_model-00004-of-00007.bin",
197
+ "model.layers.28.input_layernorm.weight": "pytorch_model-00004-of-00007.bin",
198
+ "model.layers.28.mlp.down_proj.weight": "pytorch_model-00004-of-00007.bin",
199
+ "model.layers.28.mlp.gate_proj.weight": "pytorch_model-00004-of-00007.bin",
200
+ "model.layers.28.mlp.up_proj.weight": "pytorch_model-00004-of-00007.bin",
201
+ "model.layers.28.post_attention_layernorm.weight": "pytorch_model-00004-of-00007.bin",
202
+ "model.layers.28.self_attn.k_proj.weight": "pytorch_model-00004-of-00007.bin",
203
+ "model.layers.28.self_attn.o_proj.weight": "pytorch_model-00004-of-00007.bin",
204
+ "model.layers.28.self_attn.q_proj.weight": "pytorch_model-00004-of-00007.bin",
205
+ "model.layers.28.self_attn.v_proj.weight": "pytorch_model-00004-of-00007.bin",
206
+ "model.layers.29.input_layernorm.weight": "pytorch_model-00004-of-00007.bin",
207
+ "model.layers.29.mlp.down_proj.weight": "pytorch_model-00004-of-00007.bin",
208
+ "model.layers.29.mlp.gate_proj.weight": "pytorch_model-00004-of-00007.bin",
209
+ "model.layers.29.mlp.up_proj.weight": "pytorch_model-00004-of-00007.bin",
210
+ "model.layers.29.post_attention_layernorm.weight": "pytorch_model-00004-of-00007.bin",
211
+ "model.layers.29.self_attn.k_proj.weight": "pytorch_model-00004-of-00007.bin",
212
+ "model.layers.29.self_attn.o_proj.weight": "pytorch_model-00004-of-00007.bin",
213
+ "model.layers.29.self_attn.q_proj.weight": "pytorch_model-00004-of-00007.bin",
214
+ "model.layers.29.self_attn.v_proj.weight": "pytorch_model-00004-of-00007.bin",
215
+ "model.layers.3.input_layernorm.weight": "pytorch_model-00001-of-00007.bin",
216
+ "model.layers.3.mlp.down_proj.weight": "pytorch_model-00001-of-00007.bin",
217
+ "model.layers.3.mlp.gate_proj.weight": "pytorch_model-00001-of-00007.bin",
218
+ "model.layers.3.mlp.up_proj.weight": "pytorch_model-00001-of-00007.bin",
219
+ "model.layers.3.post_attention_layernorm.weight": "pytorch_model-00001-of-00007.bin",
220
+ "model.layers.3.self_attn.k_proj.weight": "pytorch_model-00001-of-00007.bin",
221
+ "model.layers.3.self_attn.o_proj.weight": "pytorch_model-00001-of-00007.bin",
222
+ "model.layers.3.self_attn.q_proj.weight": "pytorch_model-00001-of-00007.bin",
223
+ "model.layers.3.self_attn.v_proj.weight": "pytorch_model-00001-of-00007.bin",
224
+ "model.layers.30.input_layernorm.weight": "pytorch_model-00004-of-00007.bin",
225
+ "model.layers.30.mlp.down_proj.weight": "pytorch_model-00004-of-00007.bin",
226
+ "model.layers.30.mlp.gate_proj.weight": "pytorch_model-00004-of-00007.bin",
227
+ "model.layers.30.mlp.up_proj.weight": "pytorch_model-00004-of-00007.bin",
228
+ "model.layers.30.post_attention_layernorm.weight": "pytorch_model-00004-of-00007.bin",
229
+ "model.layers.30.self_attn.k_proj.weight": "pytorch_model-00004-of-00007.bin",
230
+ "model.layers.30.self_attn.o_proj.weight": "pytorch_model-00004-of-00007.bin",
231
+ "model.layers.30.self_attn.q_proj.weight": "pytorch_model-00004-of-00007.bin",
232
+ "model.layers.30.self_attn.v_proj.weight": "pytorch_model-00004-of-00007.bin",
233
+ "model.layers.31.input_layernorm.weight": "pytorch_model-00004-of-00007.bin",
234
+ "model.layers.31.mlp.down_proj.weight": "pytorch_model-00004-of-00007.bin",
235
+ "model.layers.31.mlp.gate_proj.weight": "pytorch_model-00004-of-00007.bin",
236
+ "model.layers.31.mlp.up_proj.weight": "pytorch_model-00004-of-00007.bin",
237
+ "model.layers.31.post_attention_layernorm.weight": "pytorch_model-00004-of-00007.bin",
238
+ "model.layers.31.self_attn.k_proj.weight": "pytorch_model-00004-of-00007.bin",
239
+ "model.layers.31.self_attn.o_proj.weight": "pytorch_model-00004-of-00007.bin",
240
+ "model.layers.31.self_attn.q_proj.weight": "pytorch_model-00004-of-00007.bin",
241
+ "model.layers.31.self_attn.v_proj.weight": "pytorch_model-00004-of-00007.bin",
242
+ "model.layers.32.input_layernorm.weight": "pytorch_model-00004-of-00007.bin",
243
+ "model.layers.32.mlp.down_proj.weight": "pytorch_model-00004-of-00007.bin",
244
+ "model.layers.32.mlp.gate_proj.weight": "pytorch_model-00004-of-00007.bin",
245
+ "model.layers.32.mlp.up_proj.weight": "pytorch_model-00004-of-00007.bin",
246
+ "model.layers.32.post_attention_layernorm.weight": "pytorch_model-00004-of-00007.bin",
247
+ "model.layers.32.self_attn.k_proj.weight": "pytorch_model-00004-of-00007.bin",
248
+ "model.layers.32.self_attn.o_proj.weight": "pytorch_model-00004-of-00007.bin",
249
+ "model.layers.32.self_attn.q_proj.weight": "pytorch_model-00004-of-00007.bin",
250
+ "model.layers.32.self_attn.v_proj.weight": "pytorch_model-00004-of-00007.bin",
251
+ "model.layers.33.input_layernorm.weight": "pytorch_model-00004-of-00007.bin",
252
+ "model.layers.33.mlp.down_proj.weight": "pytorch_model-00004-of-00007.bin",
253
+ "model.layers.33.mlp.gate_proj.weight": "pytorch_model-00004-of-00007.bin",
254
+ "model.layers.33.mlp.up_proj.weight": "pytorch_model-00004-of-00007.bin",
255
+ "model.layers.33.post_attention_layernorm.weight": "pytorch_model-00004-of-00007.bin",
256
+ "model.layers.33.self_attn.k_proj.weight": "pytorch_model-00004-of-00007.bin",
257
+ "model.layers.33.self_attn.o_proj.weight": "pytorch_model-00004-of-00007.bin",
258
+ "model.layers.33.self_attn.q_proj.weight": "pytorch_model-00004-of-00007.bin",
259
+ "model.layers.33.self_attn.v_proj.weight": "pytorch_model-00004-of-00007.bin",
260
+ "model.layers.34.input_layernorm.weight": "pytorch_model-00005-of-00007.bin",
261
+ "model.layers.34.mlp.down_proj.weight": "pytorch_model-00005-of-00007.bin",
262
+ "model.layers.34.mlp.gate_proj.weight": "pytorch_model-00004-of-00007.bin",
263
+ "model.layers.34.mlp.up_proj.weight": "pytorch_model-00005-of-00007.bin",
264
+ "model.layers.34.post_attention_layernorm.weight": "pytorch_model-00005-of-00007.bin",
265
+ "model.layers.34.self_attn.k_proj.weight": "pytorch_model-00004-of-00007.bin",
266
+ "model.layers.34.self_attn.o_proj.weight": "pytorch_model-00004-of-00007.bin",
267
+ "model.layers.34.self_attn.q_proj.weight": "pytorch_model-00004-of-00007.bin",
268
+ "model.layers.34.self_attn.v_proj.weight": "pytorch_model-00004-of-00007.bin",
269
+ "model.layers.35.input_layernorm.weight": "pytorch_model-00005-of-00007.bin",
270
+ "model.layers.35.mlp.down_proj.weight": "pytorch_model-00005-of-00007.bin",
271
+ "model.layers.35.mlp.gate_proj.weight": "pytorch_model-00005-of-00007.bin",
272
+ "model.layers.35.mlp.up_proj.weight": "pytorch_model-00005-of-00007.bin",
273
+ "model.layers.35.post_attention_layernorm.weight": "pytorch_model-00005-of-00007.bin",
274
+ "model.layers.35.self_attn.k_proj.weight": "pytorch_model-00005-of-00007.bin",
275
+ "model.layers.35.self_attn.o_proj.weight": "pytorch_model-00005-of-00007.bin",
276
+ "model.layers.35.self_attn.q_proj.weight": "pytorch_model-00005-of-00007.bin",
277
+ "model.layers.35.self_attn.v_proj.weight": "pytorch_model-00005-of-00007.bin",
278
+ "model.layers.36.input_layernorm.weight": "pytorch_model-00005-of-00007.bin",
279
+ "model.layers.36.mlp.down_proj.weight": "pytorch_model-00005-of-00007.bin",
280
+ "model.layers.36.mlp.gate_proj.weight": "pytorch_model-00005-of-00007.bin",
281
+ "model.layers.36.mlp.up_proj.weight": "pytorch_model-00005-of-00007.bin",
282
+ "model.layers.36.post_attention_layernorm.weight": "pytorch_model-00005-of-00007.bin",
283
+ "model.layers.36.self_attn.k_proj.weight": "pytorch_model-00005-of-00007.bin",
284
+ "model.layers.36.self_attn.o_proj.weight": "pytorch_model-00005-of-00007.bin",
285
+ "model.layers.36.self_attn.q_proj.weight": "pytorch_model-00005-of-00007.bin",
286
+ "model.layers.36.self_attn.v_proj.weight": "pytorch_model-00005-of-00007.bin",
287
+ "model.layers.37.input_layernorm.weight": "pytorch_model-00005-of-00007.bin",
288
+ "model.layers.37.mlp.down_proj.weight": "pytorch_model-00005-of-00007.bin",
289
+ "model.layers.37.mlp.gate_proj.weight": "pytorch_model-00005-of-00007.bin",
290
+ "model.layers.37.mlp.up_proj.weight": "pytorch_model-00005-of-00007.bin",
291
+ "model.layers.37.post_attention_layernorm.weight": "pytorch_model-00005-of-00007.bin",
292
+ "model.layers.37.self_attn.k_proj.weight": "pytorch_model-00005-of-00007.bin",
293
+ "model.layers.37.self_attn.o_proj.weight": "pytorch_model-00005-of-00007.bin",
294
+ "model.layers.37.self_attn.q_proj.weight": "pytorch_model-00005-of-00007.bin",
295
+ "model.layers.37.self_attn.v_proj.weight": "pytorch_model-00005-of-00007.bin",
296
+ "model.layers.38.input_layernorm.weight": "pytorch_model-00005-of-00007.bin",
297
+ "model.layers.38.mlp.down_proj.weight": "pytorch_model-00005-of-00007.bin",
298
+ "model.layers.38.mlp.gate_proj.weight": "pytorch_model-00005-of-00007.bin",
299
+ "model.layers.38.mlp.up_proj.weight": "pytorch_model-00005-of-00007.bin",
300
+ "model.layers.38.post_attention_layernorm.weight": "pytorch_model-00005-of-00007.bin",
301
+ "model.layers.38.self_attn.k_proj.weight": "pytorch_model-00005-of-00007.bin",
302
+ "model.layers.38.self_attn.o_proj.weight": "pytorch_model-00005-of-00007.bin",
303
+ "model.layers.38.self_attn.q_proj.weight": "pytorch_model-00005-of-00007.bin",
304
+ "model.layers.38.self_attn.v_proj.weight": "pytorch_model-00005-of-00007.bin",
305
+ "model.layers.39.input_layernorm.weight": "pytorch_model-00005-of-00007.bin",
306
+ "model.layers.39.mlp.down_proj.weight": "pytorch_model-00005-of-00007.bin",
307
+ "model.layers.39.mlp.gate_proj.weight": "pytorch_model-00005-of-00007.bin",
308
+ "model.layers.39.mlp.up_proj.weight": "pytorch_model-00005-of-00007.bin",
309
+ "model.layers.39.post_attention_layernorm.weight": "pytorch_model-00005-of-00007.bin",
310
+ "model.layers.39.self_attn.k_proj.weight": "pytorch_model-00005-of-00007.bin",
311
+ "model.layers.39.self_attn.o_proj.weight": "pytorch_model-00005-of-00007.bin",
312
+ "model.layers.39.self_attn.q_proj.weight": "pytorch_model-00005-of-00007.bin",
313
+ "model.layers.39.self_attn.v_proj.weight": "pytorch_model-00005-of-00007.bin",
314
+ "model.layers.4.input_layernorm.weight": "pytorch_model-00001-of-00007.bin",
315
+ "model.layers.4.mlp.down_proj.weight": "pytorch_model-00001-of-00007.bin",
316
+ "model.layers.4.mlp.gate_proj.weight": "pytorch_model-00001-of-00007.bin",
317
+ "model.layers.4.mlp.up_proj.weight": "pytorch_model-00001-of-00007.bin",
318
+ "model.layers.4.post_attention_layernorm.weight": "pytorch_model-00001-of-00007.bin",
319
+ "model.layers.4.self_attn.k_proj.weight": "pytorch_model-00001-of-00007.bin",
320
+ "model.layers.4.self_attn.o_proj.weight": "pytorch_model-00001-of-00007.bin",
321
+ "model.layers.4.self_attn.q_proj.weight": "pytorch_model-00001-of-00007.bin",
322
+ "model.layers.4.self_attn.v_proj.weight": "pytorch_model-00001-of-00007.bin",
323
+ "model.layers.40.input_layernorm.weight": "pytorch_model-00005-of-00007.bin",
324
+ "model.layers.40.mlp.down_proj.weight": "pytorch_model-00005-of-00007.bin",
325
+ "model.layers.40.mlp.gate_proj.weight": "pytorch_model-00005-of-00007.bin",
326
+ "model.layers.40.mlp.up_proj.weight": "pytorch_model-00005-of-00007.bin",
327
+ "model.layers.40.post_attention_layernorm.weight": "pytorch_model-00005-of-00007.bin",
328
+ "model.layers.40.self_attn.k_proj.weight": "pytorch_model-00005-of-00007.bin",
329
+ "model.layers.40.self_attn.o_proj.weight": "pytorch_model-00005-of-00007.bin",
330
+ "model.layers.40.self_attn.q_proj.weight": "pytorch_model-00005-of-00007.bin",
331
+ "model.layers.40.self_attn.v_proj.weight": "pytorch_model-00005-of-00007.bin",
332
+ "model.layers.41.input_layernorm.weight": "pytorch_model-00005-of-00007.bin",
333
+ "model.layers.41.mlp.down_proj.weight": "pytorch_model-00005-of-00007.bin",
334
+ "model.layers.41.mlp.gate_proj.weight": "pytorch_model-00005-of-00007.bin",
335
+ "model.layers.41.mlp.up_proj.weight": "pytorch_model-00005-of-00007.bin",
336
+ "model.layers.41.post_attention_layernorm.weight": "pytorch_model-00005-of-00007.bin",
337
+ "model.layers.41.self_attn.k_proj.weight": "pytorch_model-00005-of-00007.bin",
338
+ "model.layers.41.self_attn.o_proj.weight": "pytorch_model-00005-of-00007.bin",
339
+ "model.layers.41.self_attn.q_proj.weight": "pytorch_model-00005-of-00007.bin",
340
+ "model.layers.41.self_attn.v_proj.weight": "pytorch_model-00005-of-00007.bin",
341
+ "model.layers.42.input_layernorm.weight": "pytorch_model-00005-of-00007.bin",
342
+ "model.layers.42.mlp.down_proj.weight": "pytorch_model-00005-of-00007.bin",
343
+ "model.layers.42.mlp.gate_proj.weight": "pytorch_model-00005-of-00007.bin",
344
+ "model.layers.42.mlp.up_proj.weight": "pytorch_model-00005-of-00007.bin",
345
+ "model.layers.42.post_attention_layernorm.weight": "pytorch_model-00005-of-00007.bin",
346
+ "model.layers.42.self_attn.k_proj.weight": "pytorch_model-00005-of-00007.bin",
347
+ "model.layers.42.self_attn.o_proj.weight": "pytorch_model-00005-of-00007.bin",
348
+ "model.layers.42.self_attn.q_proj.weight": "pytorch_model-00005-of-00007.bin",
349
+ "model.layers.42.self_attn.v_proj.weight": "pytorch_model-00005-of-00007.bin",
350
+ "model.layers.43.input_layernorm.weight": "pytorch_model-00006-of-00007.bin",
351
+ "model.layers.43.mlp.down_proj.weight": "pytorch_model-00006-of-00007.bin",
352
+ "model.layers.43.mlp.gate_proj.weight": "pytorch_model-00006-of-00007.bin",
353
+ "model.layers.43.mlp.up_proj.weight": "pytorch_model-00006-of-00007.bin",
354
+ "model.layers.43.post_attention_layernorm.weight": "pytorch_model-00006-of-00007.bin",
355
+ "model.layers.43.self_attn.k_proj.weight": "pytorch_model-00005-of-00007.bin",
356
+ "model.layers.43.self_attn.o_proj.weight": "pytorch_model-00005-of-00007.bin",
357
+ "model.layers.43.self_attn.q_proj.weight": "pytorch_model-00005-of-00007.bin",
358
+ "model.layers.43.self_attn.v_proj.weight": "pytorch_model-00005-of-00007.bin",
359
+ "model.layers.44.input_layernorm.weight": "pytorch_model-00006-of-00007.bin",
360
+ "model.layers.44.mlp.down_proj.weight": "pytorch_model-00006-of-00007.bin",
361
+ "model.layers.44.mlp.gate_proj.weight": "pytorch_model-00006-of-00007.bin",
362
+ "model.layers.44.mlp.up_proj.weight": "pytorch_model-00006-of-00007.bin",
363
+ "model.layers.44.post_attention_layernorm.weight": "pytorch_model-00006-of-00007.bin",
364
+ "model.layers.44.self_attn.k_proj.weight": "pytorch_model-00006-of-00007.bin",
365
+ "model.layers.44.self_attn.o_proj.weight": "pytorch_model-00006-of-00007.bin",
366
+ "model.layers.44.self_attn.q_proj.weight": "pytorch_model-00006-of-00007.bin",
367
+ "model.layers.44.self_attn.v_proj.weight": "pytorch_model-00006-of-00007.bin",
368
+ "model.layers.45.input_layernorm.weight": "pytorch_model-00006-of-00007.bin",
369
+ "model.layers.45.mlp.down_proj.weight": "pytorch_model-00006-of-00007.bin",
370
+ "model.layers.45.mlp.gate_proj.weight": "pytorch_model-00006-of-00007.bin",
371
+ "model.layers.45.mlp.up_proj.weight": "pytorch_model-00006-of-00007.bin",
372
+ "model.layers.45.post_attention_layernorm.weight": "pytorch_model-00006-of-00007.bin",
373
+ "model.layers.45.self_attn.k_proj.weight": "pytorch_model-00006-of-00007.bin",
374
+ "model.layers.45.self_attn.o_proj.weight": "pytorch_model-00006-of-00007.bin",
375
+ "model.layers.45.self_attn.q_proj.weight": "pytorch_model-00006-of-00007.bin",
376
+ "model.layers.45.self_attn.v_proj.weight": "pytorch_model-00006-of-00007.bin",
377
+ "model.layers.46.input_layernorm.weight": "pytorch_model-00006-of-00007.bin",
378
+ "model.layers.46.mlp.down_proj.weight": "pytorch_model-00006-of-00007.bin",
379
+ "model.layers.46.mlp.gate_proj.weight": "pytorch_model-00006-of-00007.bin",
380
+ "model.layers.46.mlp.up_proj.weight": "pytorch_model-00006-of-00007.bin",
381
+ "model.layers.46.post_attention_layernorm.weight": "pytorch_model-00006-of-00007.bin",
382
+ "model.layers.46.self_attn.k_proj.weight": "pytorch_model-00006-of-00007.bin",
383
+ "model.layers.46.self_attn.o_proj.weight": "pytorch_model-00006-of-00007.bin",
384
+ "model.layers.46.self_attn.q_proj.weight": "pytorch_model-00006-of-00007.bin",
385
+ "model.layers.46.self_attn.v_proj.weight": "pytorch_model-00006-of-00007.bin",
386
+ "model.layers.47.input_layernorm.weight": "pytorch_model-00006-of-00007.bin",
387
+ "model.layers.47.mlp.down_proj.weight": "pytorch_model-00006-of-00007.bin",
388
+ "model.layers.47.mlp.gate_proj.weight": "pytorch_model-00006-of-00007.bin",
389
+ "model.layers.47.mlp.up_proj.weight": "pytorch_model-00006-of-00007.bin",
390
+ "model.layers.47.post_attention_layernorm.weight": "pytorch_model-00006-of-00007.bin",
391
+ "model.layers.47.self_attn.k_proj.weight": "pytorch_model-00006-of-00007.bin",
392
+ "model.layers.47.self_attn.o_proj.weight": "pytorch_model-00006-of-00007.bin",
393
+ "model.layers.47.self_attn.q_proj.weight": "pytorch_model-00006-of-00007.bin",
394
+ "model.layers.47.self_attn.v_proj.weight": "pytorch_model-00006-of-00007.bin",
395
+ "model.layers.48.input_layernorm.weight": "pytorch_model-00006-of-00007.bin",
396
+ "model.layers.48.mlp.down_proj.weight": "pytorch_model-00006-of-00007.bin",
397
+ "model.layers.48.mlp.gate_proj.weight": "pytorch_model-00006-of-00007.bin",
398
+ "model.layers.48.mlp.up_proj.weight": "pytorch_model-00006-of-00007.bin",
399
+ "model.layers.48.post_attention_layernorm.weight": "pytorch_model-00006-of-00007.bin",
400
+ "model.layers.48.self_attn.k_proj.weight": "pytorch_model-00006-of-00007.bin",
401
+ "model.layers.48.self_attn.o_proj.weight": "pytorch_model-00006-of-00007.bin",
402
+ "model.layers.48.self_attn.q_proj.weight": "pytorch_model-00006-of-00007.bin",
403
+ "model.layers.48.self_attn.v_proj.weight": "pytorch_model-00006-of-00007.bin",
404
+ "model.layers.49.input_layernorm.weight": "pytorch_model-00006-of-00007.bin",
405
+ "model.layers.49.mlp.down_proj.weight": "pytorch_model-00006-of-00007.bin",
406
+ "model.layers.49.mlp.gate_proj.weight": "pytorch_model-00006-of-00007.bin",
407
+ "model.layers.49.mlp.up_proj.weight": "pytorch_model-00006-of-00007.bin",
408
+ "model.layers.49.post_attention_layernorm.weight": "pytorch_model-00006-of-00007.bin",
409
+ "model.layers.49.self_attn.k_proj.weight": "pytorch_model-00006-of-00007.bin",
410
+ "model.layers.49.self_attn.o_proj.weight": "pytorch_model-00006-of-00007.bin",
411
+ "model.layers.49.self_attn.q_proj.weight": "pytorch_model-00006-of-00007.bin",
412
+ "model.layers.49.self_attn.v_proj.weight": "pytorch_model-00006-of-00007.bin",
413
+ "model.layers.5.input_layernorm.weight": "pytorch_model-00001-of-00007.bin",
414
+ "model.layers.5.mlp.down_proj.weight": "pytorch_model-00001-of-00007.bin",
415
+ "model.layers.5.mlp.gate_proj.weight": "pytorch_model-00001-of-00007.bin",
416
+ "model.layers.5.mlp.up_proj.weight": "pytorch_model-00001-of-00007.bin",
417
+ "model.layers.5.post_attention_layernorm.weight": "pytorch_model-00001-of-00007.bin",
418
+ "model.layers.5.self_attn.k_proj.weight": "pytorch_model-00001-of-00007.bin",
419
+ "model.layers.5.self_attn.o_proj.weight": "pytorch_model-00001-of-00007.bin",
420
+ "model.layers.5.self_attn.q_proj.weight": "pytorch_model-00001-of-00007.bin",
421
+ "model.layers.5.self_attn.v_proj.weight": "pytorch_model-00001-of-00007.bin",
422
+ "model.layers.50.input_layernorm.weight": "pytorch_model-00006-of-00007.bin",
423
+ "model.layers.50.mlp.down_proj.weight": "pytorch_model-00006-of-00007.bin",
424
+ "model.layers.50.mlp.gate_proj.weight": "pytorch_model-00006-of-00007.bin",
425
+ "model.layers.50.mlp.up_proj.weight": "pytorch_model-00006-of-00007.bin",
426
+ "model.layers.50.post_attention_layernorm.weight": "pytorch_model-00006-of-00007.bin",
427
+ "model.layers.50.self_attn.k_proj.weight": "pytorch_model-00006-of-00007.bin",
428
+ "model.layers.50.self_attn.o_proj.weight": "pytorch_model-00006-of-00007.bin",
429
+ "model.layers.50.self_attn.q_proj.weight": "pytorch_model-00006-of-00007.bin",
430
+ "model.layers.50.self_attn.v_proj.weight": "pytorch_model-00006-of-00007.bin",
431
+ "model.layers.51.input_layernorm.weight": "pytorch_model-00006-of-00007.bin",
432
+ "model.layers.51.mlp.down_proj.weight": "pytorch_model-00006-of-00007.bin",
433
+ "model.layers.51.mlp.gate_proj.weight": "pytorch_model-00006-of-00007.bin",
434
+ "model.layers.51.mlp.up_proj.weight": "pytorch_model-00006-of-00007.bin",
435
+ "model.layers.51.post_attention_layernorm.weight": "pytorch_model-00006-of-00007.bin",
436
+ "model.layers.51.self_attn.k_proj.weight": "pytorch_model-00006-of-00007.bin",
437
+ "model.layers.51.self_attn.o_proj.weight": "pytorch_model-00006-of-00007.bin",
438
+ "model.layers.51.self_attn.q_proj.weight": "pytorch_model-00006-of-00007.bin",
439
+ "model.layers.51.self_attn.v_proj.weight": "pytorch_model-00006-of-00007.bin",
440
+ "model.layers.52.input_layernorm.weight": "pytorch_model-00007-of-00007.bin",
441
+ "model.layers.52.mlp.down_proj.weight": "pytorch_model-00007-of-00007.bin",
442
+ "model.layers.52.mlp.gate_proj.weight": "pytorch_model-00007-of-00007.bin",
443
+ "model.layers.52.mlp.up_proj.weight": "pytorch_model-00007-of-00007.bin",
444
+ "model.layers.52.post_attention_layernorm.weight": "pytorch_model-00007-of-00007.bin",
445
+ "model.layers.52.self_attn.k_proj.weight": "pytorch_model-00006-of-00007.bin",
446
+ "model.layers.52.self_attn.o_proj.weight": "pytorch_model-00007-of-00007.bin",
447
+ "model.layers.52.self_attn.q_proj.weight": "pytorch_model-00006-of-00007.bin",
448
+ "model.layers.52.self_attn.v_proj.weight": "pytorch_model-00006-of-00007.bin",
449
+ "model.layers.53.input_layernorm.weight": "pytorch_model-00007-of-00007.bin",
450
+ "model.layers.53.mlp.down_proj.weight": "pytorch_model-00007-of-00007.bin",
451
+ "model.layers.53.mlp.gate_proj.weight": "pytorch_model-00007-of-00007.bin",
452
+ "model.layers.53.mlp.up_proj.weight": "pytorch_model-00007-of-00007.bin",
453
+ "model.layers.53.post_attention_layernorm.weight": "pytorch_model-00007-of-00007.bin",
454
+ "model.layers.53.self_attn.k_proj.weight": "pytorch_model-00007-of-00007.bin",
455
+ "model.layers.53.self_attn.o_proj.weight": "pytorch_model-00007-of-00007.bin",
456
+ "model.layers.53.self_attn.q_proj.weight": "pytorch_model-00007-of-00007.bin",
457
+ "model.layers.53.self_attn.v_proj.weight": "pytorch_model-00007-of-00007.bin",
458
+ "model.layers.54.input_layernorm.weight": "pytorch_model-00007-of-00007.bin",
459
+ "model.layers.54.mlp.down_proj.weight": "pytorch_model-00007-of-00007.bin",
460
+ "model.layers.54.mlp.gate_proj.weight": "pytorch_model-00007-of-00007.bin",
461
+ "model.layers.54.mlp.up_proj.weight": "pytorch_model-00007-of-00007.bin",
462
+ "model.layers.54.post_attention_layernorm.weight": "pytorch_model-00007-of-00007.bin",
463
+ "model.layers.54.self_attn.k_proj.weight": "pytorch_model-00007-of-00007.bin",
464
+ "model.layers.54.self_attn.o_proj.weight": "pytorch_model-00007-of-00007.bin",
465
+ "model.layers.54.self_attn.q_proj.weight": "pytorch_model-00007-of-00007.bin",
466
+ "model.layers.54.self_attn.v_proj.weight": "pytorch_model-00007-of-00007.bin",
467
+ "model.layers.55.input_layernorm.weight": "pytorch_model-00007-of-00007.bin",
468
+ "model.layers.55.mlp.down_proj.weight": "pytorch_model-00007-of-00007.bin",
469
+ "model.layers.55.mlp.gate_proj.weight": "pytorch_model-00007-of-00007.bin",
470
+ "model.layers.55.mlp.up_proj.weight": "pytorch_model-00007-of-00007.bin",
471
+ "model.layers.55.post_attention_layernorm.weight": "pytorch_model-00007-of-00007.bin",
472
+ "model.layers.55.self_attn.k_proj.weight": "pytorch_model-00007-of-00007.bin",
473
+ "model.layers.55.self_attn.o_proj.weight": "pytorch_model-00007-of-00007.bin",
474
+ "model.layers.55.self_attn.q_proj.weight": "pytorch_model-00007-of-00007.bin",
475
+ "model.layers.55.self_attn.v_proj.weight": "pytorch_model-00007-of-00007.bin",
476
+ "model.layers.56.input_layernorm.weight": "pytorch_model-00007-of-00007.bin",
477
+ "model.layers.56.mlp.down_proj.weight": "pytorch_model-00007-of-00007.bin",
478
+ "model.layers.56.mlp.gate_proj.weight": "pytorch_model-00007-of-00007.bin",
479
+ "model.layers.56.mlp.up_proj.weight": "pytorch_model-00007-of-00007.bin",
480
+ "model.layers.56.post_attention_layernorm.weight": "pytorch_model-00007-of-00007.bin",
481
+ "model.layers.56.self_attn.k_proj.weight": "pytorch_model-00007-of-00007.bin",
482
+ "model.layers.56.self_attn.o_proj.weight": "pytorch_model-00007-of-00007.bin",
483
+ "model.layers.56.self_attn.q_proj.weight": "pytorch_model-00007-of-00007.bin",
484
+ "model.layers.56.self_attn.v_proj.weight": "pytorch_model-00007-of-00007.bin",
485
+ "model.layers.57.input_layernorm.weight": "pytorch_model-00007-of-00007.bin",
486
+ "model.layers.57.mlp.down_proj.weight": "pytorch_model-00007-of-00007.bin",
487
+ "model.layers.57.mlp.gate_proj.weight": "pytorch_model-00007-of-00007.bin",
488
+ "model.layers.57.mlp.up_proj.weight": "pytorch_model-00007-of-00007.bin",
489
+ "model.layers.57.post_attention_layernorm.weight": "pytorch_model-00007-of-00007.bin",
490
+ "model.layers.57.self_attn.k_proj.weight": "pytorch_model-00007-of-00007.bin",
491
+ "model.layers.57.self_attn.o_proj.weight": "pytorch_model-00007-of-00007.bin",
492
+ "model.layers.57.self_attn.q_proj.weight": "pytorch_model-00007-of-00007.bin",
493
+ "model.layers.57.self_attn.v_proj.weight": "pytorch_model-00007-of-00007.bin",
494
+ "model.layers.58.input_layernorm.weight": "pytorch_model-00007-of-00007.bin",
495
+ "model.layers.58.mlp.down_proj.weight": "pytorch_model-00007-of-00007.bin",
496
+ "model.layers.58.mlp.gate_proj.weight": "pytorch_model-00007-of-00007.bin",
497
+ "model.layers.58.mlp.up_proj.weight": "pytorch_model-00007-of-00007.bin",
498
+ "model.layers.58.post_attention_layernorm.weight": "pytorch_model-00007-of-00007.bin",
499
+ "model.layers.58.self_attn.k_proj.weight": "pytorch_model-00007-of-00007.bin",
500
+ "model.layers.58.self_attn.o_proj.weight": "pytorch_model-00007-of-00007.bin",
501
+ "model.layers.58.self_attn.q_proj.weight": "pytorch_model-00007-of-00007.bin",
502
+ "model.layers.58.self_attn.v_proj.weight": "pytorch_model-00007-of-00007.bin",
503
+ "model.layers.59.input_layernorm.weight": "pytorch_model-00007-of-00007.bin",
504
+ "model.layers.59.mlp.down_proj.weight": "pytorch_model-00007-of-00007.bin",
505
+ "model.layers.59.mlp.gate_proj.weight": "pytorch_model-00007-of-00007.bin",
506
+ "model.layers.59.mlp.up_proj.weight": "pytorch_model-00007-of-00007.bin",
507
+ "model.layers.59.post_attention_layernorm.weight": "pytorch_model-00007-of-00007.bin",
508
+ "model.layers.59.self_attn.k_proj.weight": "pytorch_model-00007-of-00007.bin",
509
+ "model.layers.59.self_attn.o_proj.weight": "pytorch_model-00007-of-00007.bin",
510
+ "model.layers.59.self_attn.q_proj.weight": "pytorch_model-00007-of-00007.bin",
511
+ "model.layers.59.self_attn.v_proj.weight": "pytorch_model-00007-of-00007.bin",
512
+ "model.layers.6.input_layernorm.weight": "pytorch_model-00001-of-00007.bin",
513
+ "model.layers.6.mlp.down_proj.weight": "pytorch_model-00001-of-00007.bin",
514
+ "model.layers.6.mlp.gate_proj.weight": "pytorch_model-00001-of-00007.bin",
515
+ "model.layers.6.mlp.up_proj.weight": "pytorch_model-00001-of-00007.bin",
516
+ "model.layers.6.post_attention_layernorm.weight": "pytorch_model-00001-of-00007.bin",
517
+ "model.layers.6.self_attn.k_proj.weight": "pytorch_model-00001-of-00007.bin",
518
+ "model.layers.6.self_attn.o_proj.weight": "pytorch_model-00001-of-00007.bin",
519
+ "model.layers.6.self_attn.q_proj.weight": "pytorch_model-00001-of-00007.bin",
520
+ "model.layers.6.self_attn.v_proj.weight": "pytorch_model-00001-of-00007.bin",
521
+ "model.layers.7.input_layernorm.weight": "pytorch_model-00001-of-00007.bin",
522
+ "model.layers.7.mlp.down_proj.weight": "pytorch_model-00001-of-00007.bin",
523
+ "model.layers.7.mlp.gate_proj.weight": "pytorch_model-00001-of-00007.bin",
524
+ "model.layers.7.mlp.up_proj.weight": "pytorch_model-00001-of-00007.bin",
525
+ "model.layers.7.post_attention_layernorm.weight": "pytorch_model-00001-of-00007.bin",
526
+ "model.layers.7.self_attn.k_proj.weight": "pytorch_model-00001-of-00007.bin",
527
+ "model.layers.7.self_attn.o_proj.weight": "pytorch_model-00001-of-00007.bin",
528
+ "model.layers.7.self_attn.q_proj.weight": "pytorch_model-00001-of-00007.bin",
529
+ "model.layers.7.self_attn.v_proj.weight": "pytorch_model-00001-of-00007.bin",
530
+ "model.layers.8.input_layernorm.weight": "pytorch_model-00002-of-00007.bin",
531
+ "model.layers.8.mlp.down_proj.weight": "pytorch_model-00002-of-00007.bin",
532
+ "model.layers.8.mlp.gate_proj.weight": "pytorch_model-00002-of-00007.bin",
533
+ "model.layers.8.mlp.up_proj.weight": "pytorch_model-00002-of-00007.bin",
534
+ "model.layers.8.post_attention_layernorm.weight": "pytorch_model-00002-of-00007.bin",
535
+ "model.layers.8.self_attn.k_proj.weight": "pytorch_model-00001-of-00007.bin",
536
+ "model.layers.8.self_attn.o_proj.weight": "pytorch_model-00002-of-00007.bin",
537
+ "model.layers.8.self_attn.q_proj.weight": "pytorch_model-00001-of-00007.bin",
538
+ "model.layers.8.self_attn.v_proj.weight": "pytorch_model-00001-of-00007.bin",
539
+ "model.layers.9.input_layernorm.weight": "pytorch_model-00002-of-00007.bin",
540
+ "model.layers.9.mlp.down_proj.weight": "pytorch_model-00002-of-00007.bin",
541
+ "model.layers.9.mlp.gate_proj.weight": "pytorch_model-00002-of-00007.bin",
542
+ "model.layers.9.mlp.up_proj.weight": "pytorch_model-00002-of-00007.bin",
543
+ "model.layers.9.post_attention_layernorm.weight": "pytorch_model-00002-of-00007.bin",
544
+ "model.layers.9.self_attn.k_proj.weight": "pytorch_model-00002-of-00007.bin",
545
+ "model.layers.9.self_attn.o_proj.weight": "pytorch_model-00002-of-00007.bin",
546
+ "model.layers.9.self_attn.q_proj.weight": "pytorch_model-00002-of-00007.bin",
547
+ "model.layers.9.self_attn.v_proj.weight": "pytorch_model-00002-of-00007.bin",
548
+ "model.norm.weight": "pytorch_model-00007-of-00007.bin"
549
+ }
550
+ }
special_tokens_map.json ADDED
@@ -0,0 +1,30 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": {
3
+ "content": "<|startoftext|>",
4
+ "lstrip": false,
5
+ "normalized": true,
6
+ "rstrip": false,
7
+ "single_word": false
8
+ },
9
+ "eos_token": {
10
+ "content": "<|endoftext|>",
11
+ "lstrip": false,
12
+ "normalized": true,
13
+ "rstrip": false,
14
+ "single_word": false
15
+ },
16
+ "pad_token": {
17
+ "content": "<unk>",
18
+ "lstrip": false,
19
+ "normalized": true,
20
+ "rstrip": false,
21
+ "single_word": false
22
+ },
23
+ "unk_token": {
24
+ "content": "<unk>",
25
+ "lstrip": false,
26
+ "normalized": true,
27
+ "rstrip": false,
28
+ "single_word": false
29
+ }
30
+ }
tokenization_yi.py ADDED
@@ -0,0 +1,255 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import os
2
+ from shutil import copyfile
3
+ from typing import Any, Dict, List, Optional, Tuple
4
+
5
+ import sentencepiece as spm
6
+ from transformers.tokenization_utils import AddedToken, PreTrainedTokenizer
7
+ from transformers.utils import logging
8
+
9
+ logger = logging.get_logger(__name__)
10
+
11
+ VOCAB_FILES_NAMES = {"vocab_file": "tokenizer.model"}
12
+
13
+ PRETRAINED_VOCAB_FILES_MAP = {
14
+ "vocab_file": {},
15
+ "tokenizer_file": {},
16
+ }
17
+ PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES = {}
18
+
19
+
20
+ class YiTokenizer(PreTrainedTokenizer):
21
+ """
22
+ Construct a Yi tokenizer. Based on byte-level Byte-Pair-Encoding.
23
+
24
+ Args:
25
+ vocab_file (`str`):
26
+ Path to the vocabulary file.
27
+ """
28
+
29
+ vocab_files_names = VOCAB_FILES_NAMES
30
+ pretrained_vocab_files_map = PRETRAINED_VOCAB_FILES_MAP
31
+ max_model_input_sizes = PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
32
+ model_input_names = ["input_ids", "attention_mask"]
33
+
34
+ def __init__(
35
+ self,
36
+ vocab_file,
37
+ unk_token="<unk>",
38
+ bos_token="<|startoftext|>",
39
+ eos_token="<|endoftext|>",
40
+ pad_token="<unk>",
41
+ sp_model_kwargs: Optional[Dict[str, Any]] = None,
42
+ add_bos_token=True,
43
+ add_eos_token=False,
44
+ clean_up_tokenization_spaces=False,
45
+ **kwargs,
46
+ ):
47
+ self.sp_model_kwargs = {} if sp_model_kwargs is None else sp_model_kwargs
48
+ bos_token = (
49
+ AddedToken(bos_token, lstrip=False, rstrip=False)
50
+ if isinstance(bos_token, str)
51
+ else bos_token
52
+ )
53
+ eos_token = (
54
+ AddedToken(eos_token, lstrip=False, rstrip=False)
55
+ if isinstance(eos_token, str)
56
+ else eos_token
57
+ )
58
+ unk_token = (
59
+ AddedToken(unk_token, lstrip=False, rstrip=False)
60
+ if isinstance(unk_token, str)
61
+ else unk_token
62
+ )
63
+ pad_token = (
64
+ AddedToken(pad_token, lstrip=False, rstrip=False)
65
+ if isinstance(pad_token, str)
66
+ else pad_token
67
+ )
68
+ self.vocab_file = vocab_file
69
+ self.add_bos_token = add_bos_token
70
+ self.add_eos_token = add_eos_token
71
+ self.sp_model = spm.SentencePieceProcessor(**self.sp_model_kwargs)
72
+ self.sp_model.Load(vocab_file)
73
+ super().__init__(
74
+ bos_token=bos_token,
75
+ eos_token=eos_token,
76
+ unk_token=unk_token,
77
+ pad_token=pad_token,
78
+ add_bos_token=add_bos_token,
79
+ add_eos_token=add_eos_token,
80
+ sp_model_kwargs=self.sp_model_kwargs,
81
+ clean_up_tokenization_spaces=clean_up_tokenization_spaces,
82
+ **kwargs,
83
+ )
84
+
85
+ def __getstate__(self):
86
+ state = self.__dict__.copy()
87
+ state["sp_model"] = None
88
+ return state
89
+
90
+ def __setstate__(self, d):
91
+ self.__dict__ = d
92
+ self.sp_model = spm.SentencePieceProcessor(**self.sp_model_kwargs)
93
+ self.sp_model.Load(self.vocab_file)
94
+
95
+ @property
96
+ def vocab_size(self):
97
+ """Returns vocab size"""
98
+ return self.sp_model.get_piece_size()
99
+
100
+ def get_vocab(self):
101
+ """Returns vocab as a dict"""
102
+ vocab = {self.convert_ids_to_tokens(i): i for i in range(self.vocab_size)}
103
+ vocab.update(self.added_tokens_encoder)
104
+ return vocab
105
+
106
+ def _tokenize(self, text):
107
+ """Returns a tokenized string."""
108
+ return self.sp_model.encode(text, out_type=str)
109
+
110
+ def _convert_token_to_id(self, token):
111
+ """Converts a token (str) in an id using the vocab."""
112
+ return self.sp_model.piece_to_id(token)
113
+
114
+ def _convert_id_to_token(self, index):
115
+ """Converts an index (integer) in a token (str) using the vocab."""
116
+ token = self.sp_model.IdToPiece(index)
117
+ return token
118
+
119
+ def convert_tokens_to_string(self, tokens):
120
+ """Converts a sequence of tokens (string) in a single string."""
121
+ current_sub_tokens = []
122
+ out_string = ""
123
+ prev_is_special = False
124
+ for i, token in enumerate(tokens):
125
+ # make sure that special tokens are not decoded using sentencepiece model
126
+ if token in self.all_special_tokens:
127
+ if not prev_is_special and i != 0:
128
+ out_string += " "
129
+ out_string += self.sp_model.decode(current_sub_tokens) + token
130
+ prev_is_special = True
131
+ current_sub_tokens = []
132
+ else:
133
+ current_sub_tokens.append(token)
134
+ prev_is_special = False
135
+ out_string += self.sp_model.decode(current_sub_tokens)
136
+ return out_string
137
+
138
+ def save_vocabulary(
139
+ self, save_directory, filename_prefix: Optional[str] = None
140
+ ) -> Tuple[str]:
141
+ """
142
+ Save the vocabulary and special tokens file to a directory.
143
+
144
+ Args:
145
+ save_directory (`str`):
146
+ The directory in which to save the vocabulary.
147
+
148
+ Returns:
149
+ `Tuple(str)`: Paths to the files saved.
150
+ """
151
+ if not os.path.isdir(save_directory):
152
+ logger.error(f"Vocabulary path ({save_directory}) should be a directory")
153
+ return
154
+ out_vocab_file = os.path.join(
155
+ save_directory,
156
+ (filename_prefix + "-" if filename_prefix else "")
157
+ + VOCAB_FILES_NAMES["vocab_file"],
158
+ )
159
+
160
+ if os.path.abspath(self.vocab_file) != os.path.abspath(
161
+ out_vocab_file
162
+ ) and os.path.isfile(self.vocab_file):
163
+ copyfile(self.vocab_file, out_vocab_file)
164
+ elif not os.path.isfile(self.vocab_file):
165
+ with open(out_vocab_file, "wb") as fi:
166
+ content_spiece_model = self.sp_model.serialized_model_proto()
167
+ fi.write(content_spiece_model)
168
+
169
+ return (out_vocab_file,)
170
+
171
+ def build_inputs_with_special_tokens(self, token_ids_0, token_ids_1=None):
172
+ bos_token_id = [self.bos_token_id] if self.add_bos_token else []
173
+ eos_token_id = [self.eos_token_id] if self.add_eos_token else []
174
+
175
+ output = bos_token_id + token_ids_0 + eos_token_id
176
+
177
+ if token_ids_1 is not None:
178
+ output = output + bos_token_id + token_ids_1 + eos_token_id
179
+
180
+ return output
181
+
182
+ def get_special_tokens_mask(
183
+ self,
184
+ token_ids_0: List[int],
185
+ token_ids_1: Optional[List[int]] = None,
186
+ already_has_special_tokens: bool = False,
187
+ ) -> List[int]:
188
+ """
189
+ Retrieve sequence ids from a token list that has no special tokens added. This method is called when adding
190
+ special tokens using the tokenizer `prepare_for_model` method.
191
+
192
+ Args:
193
+ token_ids_0 (`List[int]`):
194
+ List of IDs.
195
+ token_ids_1 (`List[int]`, *optional*):
196
+ Optional second list of IDs for sequence pairs.
197
+ already_has_special_tokens (`bool`, *optional*, defaults to `False`):
198
+ Whether or not the token list is already formatted with special tokens for the model.
199
+
200
+ Returns:
201
+ `List[int]`: A list of integers in the range [0, 1]: 1 for a special token, 0 for a sequence token.
202
+ """
203
+ if already_has_special_tokens:
204
+ return super().get_special_tokens_mask(
205
+ token_ids_0=token_ids_0,
206
+ token_ids_1=token_ids_1,
207
+ already_has_special_tokens=True,
208
+ )
209
+
210
+ bos_token_id = [1] if self.add_bos_token else []
211
+ eos_token_id = [1] if self.add_eos_token else []
212
+
213
+ if token_ids_1 is None:
214
+ return bos_token_id + ([0] * len(token_ids_0)) + eos_token_id
215
+ return (
216
+ bos_token_id
217
+ + ([0] * len(token_ids_0))
218
+ + eos_token_id
219
+ + bos_token_id
220
+ + ([0] * len(token_ids_1))
221
+ + eos_token_id
222
+ )
223
+
224
+ def create_token_type_ids_from_sequences(
225
+ self, token_ids_0: List[int], token_ids_1: Optional[List[int]] = None
226
+ ) -> List[int]:
227
+ """
228
+ Creates a mask from the two sequences passed to be used in a sequence-pair classification task. An ALBERT
229
+ sequence pair mask has the following format:
230
+
231
+ ```
232
+ 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 1
233
+ | first sequence | second sequence |
234
+ ```
235
+
236
+ if token_ids_1 is None, only returns the first portion of the mask (0s).
237
+
238
+ Args:
239
+ token_ids_0 (`List[int]`):
240
+ List of ids.
241
+ token_ids_1 (`List[int]`, *optional*):
242
+ Optional second list of IDs for sequence pairs.
243
+
244
+ Returns:
245
+ `List[int]`: List of [token type IDs](../glossary#token-type-ids) according to the given sequence(s).
246
+ """
247
+ bos_token_id = [self.bos_token_id] if self.add_bos_token else []
248
+ eos_token_id = [self.eos_token_id] if self.add_eos_token else []
249
+
250
+ output = [0] * len(bos_token_id + token_ids_0 + eos_token_id)
251
+
252
+ if token_ids_1 is not None:
253
+ output += [1] * len(bos_token_id + token_ids_1 + eos_token_id)
254
+
255
+ return output
tokenizer.model ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:386c49cf943d71aa110361135338c50e38beeff0a66593480421f37b319e1a39
3
+ size 1033105
tokenizer_config.json ADDED
@@ -0,0 +1,44 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": false,
3
+ "add_eos_token": false,
4
+ "added_tokens_decoder": {
5
+ "0": {
6
+ "content": "<unk>",
7
+ "lstrip": false,
8
+ "normalized": true,
9
+ "rstrip": false,
10
+ "single_word": false,
11
+ "special": true
12
+ },
13
+ "1": {
14
+ "content": "<|startoftext|>",
15
+ "lstrip": false,
16
+ "normalized": true,
17
+ "rstrip": false,
18
+ "single_word": false,
19
+ "special": true
20
+ },
21
+ "2": {
22
+ "content": "<|endoftext|>",
23
+ "lstrip": false,
24
+ "normalized": true,
25
+ "rstrip": false,
26
+ "single_word": false,
27
+ "special": true
28
+ }
29
+ },
30
+ "auto_map": {
31
+ "AutoTokenizer": [
32
+ "tokenization_yi.YiTokenizer",
33
+ null
34
+ ]
35
+ },
36
+ "bos_token": "<|startoftext|>",
37
+ "clean_up_tokenization_spaces": false,
38
+ "eos_token": "<|endoftext|>",
39
+ "model_max_length": 200000,
40
+ "pad_token": "<unk>",
41
+ "sp_model_kwargs": {},
42
+ "tokenizer_class": "YiTokenizer",
43
+ "unk_token": "<unk>"
44
+ }