Upload folder using huggingface_hub
#1
by
shi3z
- opened
- README.md +40 -0
- added_tokens.json +130 -0
- config.json +34 -0
- model-00001-of-00006.safetensors +3 -0
- model-00002-of-00006.safetensors +3 -0
- model-00003-of-00006.safetensors +3 -0
- model-00004-of-00006.safetensors +3 -0
- model-00005-of-00006.safetensors +3 -0
- model-00006-of-00006.safetensors +3 -0
- model.safetensors.index.json +846 -0
- special_tokens_map.json +153 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +1210 -0
README.md
ADDED
@@ -0,0 +1,40 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
base_model: tokyotech-llm/Swallow-MX-8x7b-NVE-v0.1
|
3 |
+
datasets:
|
4 |
+
- databricks/databricks-dolly-15k
|
5 |
+
- glaiveai/glaive-code-assistant-v3
|
6 |
+
- glaiveai/glaive-function-calling-v2
|
7 |
+
- gretelai/synthetic_text_to_sql
|
8 |
+
- meta-math/MetaMathQA
|
9 |
+
- microsoft/orca-math-word-problems-200k
|
10 |
+
- neural-bridge/rag-dataset-12000
|
11 |
+
- neural-bridge/rag-hallucination-dataset-1000
|
12 |
+
- nvidia/HelpSteer
|
13 |
+
- OpenAssistant/oasst2
|
14 |
+
language:
|
15 |
+
- en
|
16 |
+
- ja
|
17 |
+
library_name: transformers
|
18 |
+
license: apache-2.0
|
19 |
+
tags:
|
20 |
+
- mixtral
|
21 |
+
- steerlm
|
22 |
+
- mlx
|
23 |
+
---
|
24 |
+
|
25 |
+
# shi3z/mlx-karakuri-lm-8x7b-instruct-v0.1
|
26 |
+
|
27 |
+
The Model [shi3z/mlx-karakuri-lm-8x7b-instruct-v0.1](https://huggingface.co/shi3z/mlx-karakuri-lm-8x7b-instruct-v0.1) was converted to MLX format from [karakuri-ai/karakuri-lm-8x7b-instruct-v0.1](https://huggingface.co/karakuri-ai/karakuri-lm-8x7b-instruct-v0.1) using mlx-lm version **0.17.0**.
|
28 |
+
|
29 |
+
## Use with mlx
|
30 |
+
|
31 |
+
```bash
|
32 |
+
pip install mlx-lm
|
33 |
+
```
|
34 |
+
|
35 |
+
```python
|
36 |
+
from mlx_lm import load, generate
|
37 |
+
|
38 |
+
model, tokenizer = load("shi3z/mlx-karakuri-lm-8x7b-instruct-v0.1")
|
39 |
+
response = generate(model, tokenizer, prompt="hello", verbose=True)
|
40 |
+
```
|
added_tokens.json
ADDED
@@ -0,0 +1,130 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"<|CHATBOT_TOKEN|>": 32003,
|
3 |
+
"<|END_OF_TURN_TOKEN|>": 32001,
|
4 |
+
"<|EXTRA_100_TOKEN|>": 32100,
|
5 |
+
"<|EXTRA_101_TOKEN|>": 32101,
|
6 |
+
"<|EXTRA_102_TOKEN|>": 32102,
|
7 |
+
"<|EXTRA_103_TOKEN|>": 32103,
|
8 |
+
"<|EXTRA_104_TOKEN|>": 32104,
|
9 |
+
"<|EXTRA_105_TOKEN|>": 32105,
|
10 |
+
"<|EXTRA_106_TOKEN|>": 32106,
|
11 |
+
"<|EXTRA_107_TOKEN|>": 32107,
|
12 |
+
"<|EXTRA_108_TOKEN|>": 32108,
|
13 |
+
"<|EXTRA_109_TOKEN|>": 32109,
|
14 |
+
"<|EXTRA_10_TOKEN|>": 32010,
|
15 |
+
"<|EXTRA_110_TOKEN|>": 32110,
|
16 |
+
"<|EXTRA_111_TOKEN|>": 32111,
|
17 |
+
"<|EXTRA_112_TOKEN|>": 32112,
|
18 |
+
"<|EXTRA_113_TOKEN|>": 32113,
|
19 |
+
"<|EXTRA_114_TOKEN|>": 32114,
|
20 |
+
"<|EXTRA_115_TOKEN|>": 32115,
|
21 |
+
"<|EXTRA_116_TOKEN|>": 32116,
|
22 |
+
"<|EXTRA_117_TOKEN|>": 32117,
|
23 |
+
"<|EXTRA_118_TOKEN|>": 32118,
|
24 |
+
"<|EXTRA_119_TOKEN|>": 32119,
|
25 |
+
"<|EXTRA_11_TOKEN|>": 32011,
|
26 |
+
"<|EXTRA_120_TOKEN|>": 32120,
|
27 |
+
"<|EXTRA_121_TOKEN|>": 32121,
|
28 |
+
"<|EXTRA_122_TOKEN|>": 32122,
|
29 |
+
"<|EXTRA_123_TOKEN|>": 32123,
|
30 |
+
"<|EXTRA_124_TOKEN|>": 32124,
|
31 |
+
"<|EXTRA_125_TOKEN|>": 32125,
|
32 |
+
"<|EXTRA_126_TOKEN|>": 32126,
|
33 |
+
"<|EXTRA_127_TOKEN|>": 32127,
|
34 |
+
"<|EXTRA_12_TOKEN|>": 32012,
|
35 |
+
"<|EXTRA_13_TOKEN|>": 32013,
|
36 |
+
"<|EXTRA_14_TOKEN|>": 32014,
|
37 |
+
"<|EXTRA_15_TOKEN|>": 32015,
|
38 |
+
"<|EXTRA_16_TOKEN|>": 32016,
|
39 |
+
"<|EXTRA_17_TOKEN|>": 32017,
|
40 |
+
"<|EXTRA_18_TOKEN|>": 32018,
|
41 |
+
"<|EXTRA_19_TOKEN|>": 32019,
|
42 |
+
"<|EXTRA_20_TOKEN|>": 32020,
|
43 |
+
"<|EXTRA_21_TOKEN|>": 32021,
|
44 |
+
"<|EXTRA_22_TOKEN|>": 32022,
|
45 |
+
"<|EXTRA_23_TOKEN|>": 32023,
|
46 |
+
"<|EXTRA_24_TOKEN|>": 32024,
|
47 |
+
"<|EXTRA_25_TOKEN|>": 32025,
|
48 |
+
"<|EXTRA_26_TOKEN|>": 32026,
|
49 |
+
"<|EXTRA_27_TOKEN|>": 32027,
|
50 |
+
"<|EXTRA_28_TOKEN|>": 32028,
|
51 |
+
"<|EXTRA_29_TOKEN|>": 32029,
|
52 |
+
"<|EXTRA_30_TOKEN|>": 32030,
|
53 |
+
"<|EXTRA_31_TOKEN|>": 32031,
|
54 |
+
"<|EXTRA_32_TOKEN|>": 32032,
|
55 |
+
"<|EXTRA_33_TOKEN|>": 32033,
|
56 |
+
"<|EXTRA_34_TOKEN|>": 32034,
|
57 |
+
"<|EXTRA_35_TOKEN|>": 32035,
|
58 |
+
"<|EXTRA_36_TOKEN|>": 32036,
|
59 |
+
"<|EXTRA_37_TOKEN|>": 32037,
|
60 |
+
"<|EXTRA_38_TOKEN|>": 32038,
|
61 |
+
"<|EXTRA_39_TOKEN|>": 32039,
|
62 |
+
"<|EXTRA_40_TOKEN|>": 32040,
|
63 |
+
"<|EXTRA_41_TOKEN|>": 32041,
|
64 |
+
"<|EXTRA_42_TOKEN|>": 32042,
|
65 |
+
"<|EXTRA_43_TOKEN|>": 32043,
|
66 |
+
"<|EXTRA_44_TOKEN|>": 32044,
|
67 |
+
"<|EXTRA_45_TOKEN|>": 32045,
|
68 |
+
"<|EXTRA_46_TOKEN|>": 32046,
|
69 |
+
"<|EXTRA_47_TOKEN|>": 32047,
|
70 |
+
"<|EXTRA_48_TOKEN|>": 32048,
|
71 |
+
"<|EXTRA_49_TOKEN|>": 32049,
|
72 |
+
"<|EXTRA_50_TOKEN|>": 32050,
|
73 |
+
"<|EXTRA_51_TOKEN|>": 32051,
|
74 |
+
"<|EXTRA_52_TOKEN|>": 32052,
|
75 |
+
"<|EXTRA_53_TOKEN|>": 32053,
|
76 |
+
"<|EXTRA_54_TOKEN|>": 32054,
|
77 |
+
"<|EXTRA_55_TOKEN|>": 32055,
|
78 |
+
"<|EXTRA_56_TOKEN|>": 32056,
|
79 |
+
"<|EXTRA_57_TOKEN|>": 32057,
|
80 |
+
"<|EXTRA_58_TOKEN|>": 32058,
|
81 |
+
"<|EXTRA_59_TOKEN|>": 32059,
|
82 |
+
"<|EXTRA_5_TOKEN|>": 32005,
|
83 |
+
"<|EXTRA_60_TOKEN|>": 32060,
|
84 |
+
"<|EXTRA_61_TOKEN|>": 32061,
|
85 |
+
"<|EXTRA_62_TOKEN|>": 32062,
|
86 |
+
"<|EXTRA_63_TOKEN|>": 32063,
|
87 |
+
"<|EXTRA_64_TOKEN|>": 32064,
|
88 |
+
"<|EXTRA_65_TOKEN|>": 32065,
|
89 |
+
"<|EXTRA_66_TOKEN|>": 32066,
|
90 |
+
"<|EXTRA_67_TOKEN|>": 32067,
|
91 |
+
"<|EXTRA_68_TOKEN|>": 32068,
|
92 |
+
"<|EXTRA_69_TOKEN|>": 32069,
|
93 |
+
"<|EXTRA_6_TOKEN|>": 32006,
|
94 |
+
"<|EXTRA_70_TOKEN|>": 32070,
|
95 |
+
"<|EXTRA_71_TOKEN|>": 32071,
|
96 |
+
"<|EXTRA_72_TOKEN|>": 32072,
|
97 |
+
"<|EXTRA_73_TOKEN|>": 32073,
|
98 |
+
"<|EXTRA_74_TOKEN|>": 32074,
|
99 |
+
"<|EXTRA_75_TOKEN|>": 32075,
|
100 |
+
"<|EXTRA_76_TOKEN|>": 32076,
|
101 |
+
"<|EXTRA_77_TOKEN|>": 32077,
|
102 |
+
"<|EXTRA_78_TOKEN|>": 32078,
|
103 |
+
"<|EXTRA_79_TOKEN|>": 32079,
|
104 |
+
"<|EXTRA_7_TOKEN|>": 32007,
|
105 |
+
"<|EXTRA_80_TOKEN|>": 32080,
|
106 |
+
"<|EXTRA_81_TOKEN|>": 32081,
|
107 |
+
"<|EXTRA_82_TOKEN|>": 32082,
|
108 |
+
"<|EXTRA_83_TOKEN|>": 32083,
|
109 |
+
"<|EXTRA_84_TOKEN|>": 32084,
|
110 |
+
"<|EXTRA_85_TOKEN|>": 32085,
|
111 |
+
"<|EXTRA_86_TOKEN|>": 32086,
|
112 |
+
"<|EXTRA_87_TOKEN|>": 32087,
|
113 |
+
"<|EXTRA_88_TOKEN|>": 32088,
|
114 |
+
"<|EXTRA_89_TOKEN|>": 32089,
|
115 |
+
"<|EXTRA_8_TOKEN|>": 32008,
|
116 |
+
"<|EXTRA_90_TOKEN|>": 32090,
|
117 |
+
"<|EXTRA_91_TOKEN|>": 32091,
|
118 |
+
"<|EXTRA_92_TOKEN|>": 32092,
|
119 |
+
"<|EXTRA_93_TOKEN|>": 32093,
|
120 |
+
"<|EXTRA_94_TOKEN|>": 32094,
|
121 |
+
"<|EXTRA_95_TOKEN|>": 32095,
|
122 |
+
"<|EXTRA_96_TOKEN|>": 32096,
|
123 |
+
"<|EXTRA_97_TOKEN|>": 32097,
|
124 |
+
"<|EXTRA_98_TOKEN|>": 32098,
|
125 |
+
"<|EXTRA_99_TOKEN|>": 32099,
|
126 |
+
"<|EXTRA_9_TOKEN|>": 32009,
|
127 |
+
"<|START_OF_TURN_TOKEN|>": 32000,
|
128 |
+
"<|SYSTEM_TOKEN|>": 32004,
|
129 |
+
"<|USER_TOKEN|>": 32002
|
130 |
+
}
|
config.json
ADDED
@@ -0,0 +1,34 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"architectures": [
|
3 |
+
"MixtralForCausalLM"
|
4 |
+
],
|
5 |
+
"attention_dropout": 0.0,
|
6 |
+
"bos_token_id": 1,
|
7 |
+
"eos_token_id": 32001,
|
8 |
+
"hidden_act": "silu",
|
9 |
+
"hidden_size": 4096,
|
10 |
+
"initializer_range": 0.02,
|
11 |
+
"intermediate_size": 14336,
|
12 |
+
"max_position_embeddings": 32768,
|
13 |
+
"model_type": "mixtral",
|
14 |
+
"num_attention_heads": 32,
|
15 |
+
"num_experts_per_tok": 2,
|
16 |
+
"num_hidden_layers": 32,
|
17 |
+
"num_key_value_heads": 8,
|
18 |
+
"num_local_experts": 8,
|
19 |
+
"output_router_logits": false,
|
20 |
+
"quantization": {
|
21 |
+
"group_size": 64,
|
22 |
+
"bits": 4
|
23 |
+
},
|
24 |
+
"rms_norm_eps": 1e-05,
|
25 |
+
"rope_theta": 1000000.0,
|
26 |
+
"router_aux_loss_coef": 0.02,
|
27 |
+
"router_jitter_noise": 0.0,
|
28 |
+
"sliding_window": null,
|
29 |
+
"tie_word_embeddings": false,
|
30 |
+
"torch_dtype": "bfloat16",
|
31 |
+
"transformers_version": "4.41.2",
|
32 |
+
"use_cache": true,
|
33 |
+
"vocab_size": 32128
|
34 |
+
}
|
model-00001-of-00006.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:48250b5808a16bb122912569f1718821a1f0465ed0352c53d49ffde7a3a56dcd
|
3 |
+
size 5260004373
|
model-00002-of-00006.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:e376ce051e17dc35363d72fad5e4cbb2f6de2aa4b85c94baebadf62bc0c6dd03
|
3 |
+
size 5162368126
|
model-00003-of-00006.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:f004956f0d741a811231b36e2f26904a066e7ce53b42cd90420dce60873b32c6
|
3 |
+
size 5185997917
|
model-00004-of-00006.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:da62dbb7f5b9aef894aa1a3ead0a3bbb4fe2eb4c1f4571c6ff35f67f11ce92fb
|
3 |
+
size 5162368162
|
model-00005-of-00006.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:d101e21968803ab025469724106dc36532bf6bdad4d7be86d2970701e9335afc
|
3 |
+
size 5162368202
|
model-00006-of-00006.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:0551e56d6ca147bd810dcd68cb726203e41cdd269dddaef200d2101c845ea793
|
3 |
+
size 338289648
|
model.safetensors.index.json
ADDED
@@ -0,0 +1,846 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"metadata": {
|
3 |
+
"total_size": 26271293440
|
4 |
+
},
|
5 |
+
"weight_map": {
|
6 |
+
"lm_head.biases": "model-00006-of-00006.safetensors",
|
7 |
+
"lm_head.scales": "model-00006-of-00006.safetensors",
|
8 |
+
"lm_head.weight": "model-00006-of-00006.safetensors",
|
9 |
+
"model.embed_tokens.biases": "model-00001-of-00006.safetensors",
|
10 |
+
"model.embed_tokens.scales": "model-00001-of-00006.safetensors",
|
11 |
+
"model.embed_tokens.weight": "model-00001-of-00006.safetensors",
|
12 |
+
"model.layers.0.block_sparse_moe.gate.biases": "model-00001-of-00006.safetensors",
|
13 |
+
"model.layers.0.block_sparse_moe.gate.scales": "model-00001-of-00006.safetensors",
|
14 |
+
"model.layers.0.block_sparse_moe.gate.weight": "model-00001-of-00006.safetensors",
|
15 |
+
"model.layers.0.block_sparse_moe.switch_mlp.down_proj.biases": "model-00001-of-00006.safetensors",
|
16 |
+
"model.layers.0.block_sparse_moe.switch_mlp.down_proj.scales": "model-00001-of-00006.safetensors",
|
17 |
+
"model.layers.0.block_sparse_moe.switch_mlp.down_proj.weight": "model-00001-of-00006.safetensors",
|
18 |
+
"model.layers.0.block_sparse_moe.switch_mlp.gate_proj.biases": "model-00001-of-00006.safetensors",
|
19 |
+
"model.layers.0.block_sparse_moe.switch_mlp.gate_proj.scales": "model-00001-of-00006.safetensors",
|
20 |
+
"model.layers.0.block_sparse_moe.switch_mlp.gate_proj.weight": "model-00001-of-00006.safetensors",
|
21 |
+
"model.layers.0.block_sparse_moe.switch_mlp.up_proj.biases": "model-00001-of-00006.safetensors",
|
22 |
+
"model.layers.0.block_sparse_moe.switch_mlp.up_proj.scales": "model-00001-of-00006.safetensors",
|
23 |
+
"model.layers.0.block_sparse_moe.switch_mlp.up_proj.weight": "model-00001-of-00006.safetensors",
|
24 |
+
"model.layers.0.input_layernorm.weight": "model-00001-of-00006.safetensors",
|
25 |
+
"model.layers.0.post_attention_layernorm.weight": "model-00001-of-00006.safetensors",
|
26 |
+
"model.layers.0.self_attn.k_proj.biases": "model-00001-of-00006.safetensors",
|
27 |
+
"model.layers.0.self_attn.k_proj.scales": "model-00001-of-00006.safetensors",
|
28 |
+
"model.layers.0.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
|
29 |
+
"model.layers.0.self_attn.o_proj.biases": "model-00001-of-00006.safetensors",
|
30 |
+
"model.layers.0.self_attn.o_proj.scales": "model-00001-of-00006.safetensors",
|
31 |
+
"model.layers.0.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
|
32 |
+
"model.layers.0.self_attn.q_proj.biases": "model-00001-of-00006.safetensors",
|
33 |
+
"model.layers.0.self_attn.q_proj.scales": "model-00001-of-00006.safetensors",
|
34 |
+
"model.layers.0.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
|
35 |
+
"model.layers.0.self_attn.v_proj.biases": "model-00001-of-00006.safetensors",
|
36 |
+
"model.layers.0.self_attn.v_proj.scales": "model-00001-of-00006.safetensors",
|
37 |
+
"model.layers.0.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
|
38 |
+
"model.layers.1.block_sparse_moe.gate.biases": "model-00001-of-00006.safetensors",
|
39 |
+
"model.layers.1.block_sparse_moe.gate.scales": "model-00001-of-00006.safetensors",
|
40 |
+
"model.layers.1.block_sparse_moe.gate.weight": "model-00001-of-00006.safetensors",
|
41 |
+
"model.layers.1.block_sparse_moe.switch_mlp.down_proj.biases": "model-00001-of-00006.safetensors",
|
42 |
+
"model.layers.1.block_sparse_moe.switch_mlp.down_proj.scales": "model-00001-of-00006.safetensors",
|
43 |
+
"model.layers.1.block_sparse_moe.switch_mlp.down_proj.weight": "model-00001-of-00006.safetensors",
|
44 |
+
"model.layers.1.block_sparse_moe.switch_mlp.gate_proj.biases": "model-00001-of-00006.safetensors",
|
45 |
+
"model.layers.1.block_sparse_moe.switch_mlp.gate_proj.scales": "model-00001-of-00006.safetensors",
|
46 |
+
"model.layers.1.block_sparse_moe.switch_mlp.gate_proj.weight": "model-00001-of-00006.safetensors",
|
47 |
+
"model.layers.1.block_sparse_moe.switch_mlp.up_proj.biases": "model-00001-of-00006.safetensors",
|
48 |
+
"model.layers.1.block_sparse_moe.switch_mlp.up_proj.scales": "model-00001-of-00006.safetensors",
|
49 |
+
"model.layers.1.block_sparse_moe.switch_mlp.up_proj.weight": "model-00001-of-00006.safetensors",
|
50 |
+
"model.layers.1.input_layernorm.weight": "model-00001-of-00006.safetensors",
|
51 |
+
"model.layers.1.post_attention_layernorm.weight": "model-00001-of-00006.safetensors",
|
52 |
+
"model.layers.1.self_attn.k_proj.biases": "model-00001-of-00006.safetensors",
|
53 |
+
"model.layers.1.self_attn.k_proj.scales": "model-00001-of-00006.safetensors",
|
54 |
+
"model.layers.1.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
|
55 |
+
"model.layers.1.self_attn.o_proj.biases": "model-00001-of-00006.safetensors",
|
56 |
+
"model.layers.1.self_attn.o_proj.scales": "model-00001-of-00006.safetensors",
|
57 |
+
"model.layers.1.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
|
58 |
+
"model.layers.1.self_attn.q_proj.biases": "model-00001-of-00006.safetensors",
|
59 |
+
"model.layers.1.self_attn.q_proj.scales": "model-00001-of-00006.safetensors",
|
60 |
+
"model.layers.1.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
|
61 |
+
"model.layers.1.self_attn.v_proj.biases": "model-00001-of-00006.safetensors",
|
62 |
+
"model.layers.1.self_attn.v_proj.scales": "model-00001-of-00006.safetensors",
|
63 |
+
"model.layers.1.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
|
64 |
+
"model.layers.10.block_sparse_moe.gate.biases": "model-00002-of-00006.safetensors",
|
65 |
+
"model.layers.10.block_sparse_moe.gate.scales": "model-00002-of-00006.safetensors",
|
66 |
+
"model.layers.10.block_sparse_moe.gate.weight": "model-00002-of-00006.safetensors",
|
67 |
+
"model.layers.10.block_sparse_moe.switch_mlp.down_proj.biases": "model-00002-of-00006.safetensors",
|
68 |
+
"model.layers.10.block_sparse_moe.switch_mlp.down_proj.scales": "model-00002-of-00006.safetensors",
|
69 |
+
"model.layers.10.block_sparse_moe.switch_mlp.down_proj.weight": "model-00002-of-00006.safetensors",
|
70 |
+
"model.layers.10.block_sparse_moe.switch_mlp.gate_proj.biases": "model-00002-of-00006.safetensors",
|
71 |
+
"model.layers.10.block_sparse_moe.switch_mlp.gate_proj.scales": "model-00002-of-00006.safetensors",
|
72 |
+
"model.layers.10.block_sparse_moe.switch_mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
|
73 |
+
"model.layers.10.block_sparse_moe.switch_mlp.up_proj.biases": "model-00002-of-00006.safetensors",
|
74 |
+
"model.layers.10.block_sparse_moe.switch_mlp.up_proj.scales": "model-00002-of-00006.safetensors",
|
75 |
+
"model.layers.10.block_sparse_moe.switch_mlp.up_proj.weight": "model-00002-of-00006.safetensors",
|
76 |
+
"model.layers.10.input_layernorm.weight": "model-00002-of-00006.safetensors",
|
77 |
+
"model.layers.10.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
|
78 |
+
"model.layers.10.self_attn.k_proj.biases": "model-00002-of-00006.safetensors",
|
79 |
+
"model.layers.10.self_attn.k_proj.scales": "model-00002-of-00006.safetensors",
|
80 |
+
"model.layers.10.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
|
81 |
+
"model.layers.10.self_attn.o_proj.biases": "model-00002-of-00006.safetensors",
|
82 |
+
"model.layers.10.self_attn.o_proj.scales": "model-00002-of-00006.safetensors",
|
83 |
+
"model.layers.10.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
|
84 |
+
"model.layers.10.self_attn.q_proj.biases": "model-00002-of-00006.safetensors",
|
85 |
+
"model.layers.10.self_attn.q_proj.scales": "model-00002-of-00006.safetensors",
|
86 |
+
"model.layers.10.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
|
87 |
+
"model.layers.10.self_attn.v_proj.biases": "model-00002-of-00006.safetensors",
|
88 |
+
"model.layers.10.self_attn.v_proj.scales": "model-00002-of-00006.safetensors",
|
89 |
+
"model.layers.10.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
|
90 |
+
"model.layers.11.block_sparse_moe.gate.biases": "model-00002-of-00006.safetensors",
|
91 |
+
"model.layers.11.block_sparse_moe.gate.scales": "model-00002-of-00006.safetensors",
|
92 |
+
"model.layers.11.block_sparse_moe.gate.weight": "model-00002-of-00006.safetensors",
|
93 |
+
"model.layers.11.block_sparse_moe.switch_mlp.down_proj.biases": "model-00002-of-00006.safetensors",
|
94 |
+
"model.layers.11.block_sparse_moe.switch_mlp.down_proj.scales": "model-00002-of-00006.safetensors",
|
95 |
+
"model.layers.11.block_sparse_moe.switch_mlp.down_proj.weight": "model-00002-of-00006.safetensors",
|
96 |
+
"model.layers.11.block_sparse_moe.switch_mlp.gate_proj.biases": "model-00002-of-00006.safetensors",
|
97 |
+
"model.layers.11.block_sparse_moe.switch_mlp.gate_proj.scales": "model-00002-of-00006.safetensors",
|
98 |
+
"model.layers.11.block_sparse_moe.switch_mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
|
99 |
+
"model.layers.11.block_sparse_moe.switch_mlp.up_proj.biases": "model-00002-of-00006.safetensors",
|
100 |
+
"model.layers.11.block_sparse_moe.switch_mlp.up_proj.scales": "model-00002-of-00006.safetensors",
|
101 |
+
"model.layers.11.block_sparse_moe.switch_mlp.up_proj.weight": "model-00002-of-00006.safetensors",
|
102 |
+
"model.layers.11.input_layernorm.weight": "model-00002-of-00006.safetensors",
|
103 |
+
"model.layers.11.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
|
104 |
+
"model.layers.11.self_attn.k_proj.biases": "model-00002-of-00006.safetensors",
|
105 |
+
"model.layers.11.self_attn.k_proj.scales": "model-00002-of-00006.safetensors",
|
106 |
+
"model.layers.11.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
|
107 |
+
"model.layers.11.self_attn.o_proj.biases": "model-00002-of-00006.safetensors",
|
108 |
+
"model.layers.11.self_attn.o_proj.scales": "model-00002-of-00006.safetensors",
|
109 |
+
"model.layers.11.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
|
110 |
+
"model.layers.11.self_attn.q_proj.biases": "model-00002-of-00006.safetensors",
|
111 |
+
"model.layers.11.self_attn.q_proj.scales": "model-00002-of-00006.safetensors",
|
112 |
+
"model.layers.11.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
|
113 |
+
"model.layers.11.self_attn.v_proj.biases": "model-00002-of-00006.safetensors",
|
114 |
+
"model.layers.11.self_attn.v_proj.scales": "model-00002-of-00006.safetensors",
|
115 |
+
"model.layers.11.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
|
116 |
+
"model.layers.12.block_sparse_moe.gate.biases": "model-00002-of-00006.safetensors",
|
117 |
+
"model.layers.12.block_sparse_moe.gate.scales": "model-00002-of-00006.safetensors",
|
118 |
+
"model.layers.12.block_sparse_moe.gate.weight": "model-00002-of-00006.safetensors",
|
119 |
+
"model.layers.12.block_sparse_moe.switch_mlp.down_proj.biases": "model-00003-of-00006.safetensors",
|
120 |
+
"model.layers.12.block_sparse_moe.switch_mlp.down_proj.scales": "model-00003-of-00006.safetensors",
|
121 |
+
"model.layers.12.block_sparse_moe.switch_mlp.down_proj.weight": "model-00003-of-00006.safetensors",
|
122 |
+
"model.layers.12.block_sparse_moe.switch_mlp.gate_proj.biases": "model-00002-of-00006.safetensors",
|
123 |
+
"model.layers.12.block_sparse_moe.switch_mlp.gate_proj.scales": "model-00002-of-00006.safetensors",
|
124 |
+
"model.layers.12.block_sparse_moe.switch_mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
|
125 |
+
"model.layers.12.block_sparse_moe.switch_mlp.up_proj.biases": "model-00002-of-00006.safetensors",
|
126 |
+
"model.layers.12.block_sparse_moe.switch_mlp.up_proj.scales": "model-00002-of-00006.safetensors",
|
127 |
+
"model.layers.12.block_sparse_moe.switch_mlp.up_proj.weight": "model-00002-of-00006.safetensors",
|
128 |
+
"model.layers.12.input_layernorm.weight": "model-00003-of-00006.safetensors",
|
129 |
+
"model.layers.12.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
|
130 |
+
"model.layers.12.self_attn.k_proj.biases": "model-00002-of-00006.safetensors",
|
131 |
+
"model.layers.12.self_attn.k_proj.scales": "model-00002-of-00006.safetensors",
|
132 |
+
"model.layers.12.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
|
133 |
+
"model.layers.12.self_attn.o_proj.biases": "model-00002-of-00006.safetensors",
|
134 |
+
"model.layers.12.self_attn.o_proj.scales": "model-00002-of-00006.safetensors",
|
135 |
+
"model.layers.12.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
|
136 |
+
"model.layers.12.self_attn.q_proj.biases": "model-00002-of-00006.safetensors",
|
137 |
+
"model.layers.12.self_attn.q_proj.scales": "model-00002-of-00006.safetensors",
|
138 |
+
"model.layers.12.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
|
139 |
+
"model.layers.12.self_attn.v_proj.biases": "model-00002-of-00006.safetensors",
|
140 |
+
"model.layers.12.self_attn.v_proj.scales": "model-00002-of-00006.safetensors",
|
141 |
+
"model.layers.12.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
|
142 |
+
"model.layers.13.block_sparse_moe.gate.biases": "model-00003-of-00006.safetensors",
|
143 |
+
"model.layers.13.block_sparse_moe.gate.scales": "model-00003-of-00006.safetensors",
|
144 |
+
"model.layers.13.block_sparse_moe.gate.weight": "model-00003-of-00006.safetensors",
|
145 |
+
"model.layers.13.block_sparse_moe.switch_mlp.down_proj.biases": "model-00003-of-00006.safetensors",
|
146 |
+
"model.layers.13.block_sparse_moe.switch_mlp.down_proj.scales": "model-00003-of-00006.safetensors",
|
147 |
+
"model.layers.13.block_sparse_moe.switch_mlp.down_proj.weight": "model-00003-of-00006.safetensors",
|
148 |
+
"model.layers.13.block_sparse_moe.switch_mlp.gate_proj.biases": "model-00003-of-00006.safetensors",
|
149 |
+
"model.layers.13.block_sparse_moe.switch_mlp.gate_proj.scales": "model-00003-of-00006.safetensors",
|
150 |
+
"model.layers.13.block_sparse_moe.switch_mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
|
151 |
+
"model.layers.13.block_sparse_moe.switch_mlp.up_proj.biases": "model-00003-of-00006.safetensors",
|
152 |
+
"model.layers.13.block_sparse_moe.switch_mlp.up_proj.scales": "model-00003-of-00006.safetensors",
|
153 |
+
"model.layers.13.block_sparse_moe.switch_mlp.up_proj.weight": "model-00003-of-00006.safetensors",
|
154 |
+
"model.layers.13.input_layernorm.weight": "model-00003-of-00006.safetensors",
|
155 |
+
"model.layers.13.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
|
156 |
+
"model.layers.13.self_attn.k_proj.biases": "model-00003-of-00006.safetensors",
|
157 |
+
"model.layers.13.self_attn.k_proj.scales": "model-00003-of-00006.safetensors",
|
158 |
+
"model.layers.13.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
|
159 |
+
"model.layers.13.self_attn.o_proj.biases": "model-00003-of-00006.safetensors",
|
160 |
+
"model.layers.13.self_attn.o_proj.scales": "model-00003-of-00006.safetensors",
|
161 |
+
"model.layers.13.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
|
162 |
+
"model.layers.13.self_attn.q_proj.biases": "model-00003-of-00006.safetensors",
|
163 |
+
"model.layers.13.self_attn.q_proj.scales": "model-00003-of-00006.safetensors",
|
164 |
+
"model.layers.13.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
|
165 |
+
"model.layers.13.self_attn.v_proj.biases": "model-00003-of-00006.safetensors",
|
166 |
+
"model.layers.13.self_attn.v_proj.scales": "model-00003-of-00006.safetensors",
|
167 |
+
"model.layers.13.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
|
168 |
+
"model.layers.14.block_sparse_moe.gate.biases": "model-00003-of-00006.safetensors",
|
169 |
+
"model.layers.14.block_sparse_moe.gate.scales": "model-00003-of-00006.safetensors",
|
170 |
+
"model.layers.14.block_sparse_moe.gate.weight": "model-00003-of-00006.safetensors",
|
171 |
+
"model.layers.14.block_sparse_moe.switch_mlp.down_proj.biases": "model-00003-of-00006.safetensors",
|
172 |
+
"model.layers.14.block_sparse_moe.switch_mlp.down_proj.scales": "model-00003-of-00006.safetensors",
|
173 |
+
"model.layers.14.block_sparse_moe.switch_mlp.down_proj.weight": "model-00003-of-00006.safetensors",
|
174 |
+
"model.layers.14.block_sparse_moe.switch_mlp.gate_proj.biases": "model-00003-of-00006.safetensors",
|
175 |
+
"model.layers.14.block_sparse_moe.switch_mlp.gate_proj.scales": "model-00003-of-00006.safetensors",
|
176 |
+
"model.layers.14.block_sparse_moe.switch_mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
|
177 |
+
"model.layers.14.block_sparse_moe.switch_mlp.up_proj.biases": "model-00003-of-00006.safetensors",
|
178 |
+
"model.layers.14.block_sparse_moe.switch_mlp.up_proj.scales": "model-00003-of-00006.safetensors",
|
179 |
+
"model.layers.14.block_sparse_moe.switch_mlp.up_proj.weight": "model-00003-of-00006.safetensors",
|
180 |
+
"model.layers.14.input_layernorm.weight": "model-00003-of-00006.safetensors",
|
181 |
+
"model.layers.14.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
|
182 |
+
"model.layers.14.self_attn.k_proj.biases": "model-00003-of-00006.safetensors",
|
183 |
+
"model.layers.14.self_attn.k_proj.scales": "model-00003-of-00006.safetensors",
|
184 |
+
"model.layers.14.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
|
185 |
+
"model.layers.14.self_attn.o_proj.biases": "model-00003-of-00006.safetensors",
|
186 |
+
"model.layers.14.self_attn.o_proj.scales": "model-00003-of-00006.safetensors",
|
187 |
+
"model.layers.14.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
|
188 |
+
"model.layers.14.self_attn.q_proj.biases": "model-00003-of-00006.safetensors",
|
189 |
+
"model.layers.14.self_attn.q_proj.scales": "model-00003-of-00006.safetensors",
|
190 |
+
"model.layers.14.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
|
191 |
+
"model.layers.14.self_attn.v_proj.biases": "model-00003-of-00006.safetensors",
|
192 |
+
"model.layers.14.self_attn.v_proj.scales": "model-00003-of-00006.safetensors",
|
193 |
+
"model.layers.14.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
|
194 |
+
"model.layers.15.block_sparse_moe.gate.biases": "model-00003-of-00006.safetensors",
|
195 |
+
"model.layers.15.block_sparse_moe.gate.scales": "model-00003-of-00006.safetensors",
|
196 |
+
"model.layers.15.block_sparse_moe.gate.weight": "model-00003-of-00006.safetensors",
|
197 |
+
"model.layers.15.block_sparse_moe.switch_mlp.down_proj.biases": "model-00003-of-00006.safetensors",
|
198 |
+
"model.layers.15.block_sparse_moe.switch_mlp.down_proj.scales": "model-00003-of-00006.safetensors",
|
199 |
+
"model.layers.15.block_sparse_moe.switch_mlp.down_proj.weight": "model-00003-of-00006.safetensors",
|
200 |
+
"model.layers.15.block_sparse_moe.switch_mlp.gate_proj.biases": "model-00003-of-00006.safetensors",
|
201 |
+
"model.layers.15.block_sparse_moe.switch_mlp.gate_proj.scales": "model-00003-of-00006.safetensors",
|
202 |
+
"model.layers.15.block_sparse_moe.switch_mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
|
203 |
+
"model.layers.15.block_sparse_moe.switch_mlp.up_proj.biases": "model-00003-of-00006.safetensors",
|
204 |
+
"model.layers.15.block_sparse_moe.switch_mlp.up_proj.scales": "model-00003-of-00006.safetensors",
|
205 |
+
"model.layers.15.block_sparse_moe.switch_mlp.up_proj.weight": "model-00003-of-00006.safetensors",
|
206 |
+
"model.layers.15.input_layernorm.weight": "model-00003-of-00006.safetensors",
|
207 |
+
"model.layers.15.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
|
208 |
+
"model.layers.15.self_attn.k_proj.biases": "model-00003-of-00006.safetensors",
|
209 |
+
"model.layers.15.self_attn.k_proj.scales": "model-00003-of-00006.safetensors",
|
210 |
+
"model.layers.15.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
|
211 |
+
"model.layers.15.self_attn.o_proj.biases": "model-00003-of-00006.safetensors",
|
212 |
+
"model.layers.15.self_attn.o_proj.scales": "model-00003-of-00006.safetensors",
|
213 |
+
"model.layers.15.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
|
214 |
+
"model.layers.15.self_attn.q_proj.biases": "model-00003-of-00006.safetensors",
|
215 |
+
"model.layers.15.self_attn.q_proj.scales": "model-00003-of-00006.safetensors",
|
216 |
+
"model.layers.15.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
|
217 |
+
"model.layers.15.self_attn.v_proj.biases": "model-00003-of-00006.safetensors",
|
218 |
+
"model.layers.15.self_attn.v_proj.scales": "model-00003-of-00006.safetensors",
|
219 |
+
"model.layers.15.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
|
220 |
+
"model.layers.16.block_sparse_moe.gate.biases": "model-00003-of-00006.safetensors",
|
221 |
+
"model.layers.16.block_sparse_moe.gate.scales": "model-00003-of-00006.safetensors",
|
222 |
+
"model.layers.16.block_sparse_moe.gate.weight": "model-00003-of-00006.safetensors",
|
223 |
+
"model.layers.16.block_sparse_moe.switch_mlp.down_proj.biases": "model-00003-of-00006.safetensors",
|
224 |
+
"model.layers.16.block_sparse_moe.switch_mlp.down_proj.scales": "model-00003-of-00006.safetensors",
|
225 |
+
"model.layers.16.block_sparse_moe.switch_mlp.down_proj.weight": "model-00003-of-00006.safetensors",
|
226 |
+
"model.layers.16.block_sparse_moe.switch_mlp.gate_proj.biases": "model-00003-of-00006.safetensors",
|
227 |
+
"model.layers.16.block_sparse_moe.switch_mlp.gate_proj.scales": "model-00003-of-00006.safetensors",
|
228 |
+
"model.layers.16.block_sparse_moe.switch_mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
|
229 |
+
"model.layers.16.block_sparse_moe.switch_mlp.up_proj.biases": "model-00003-of-00006.safetensors",
|
230 |
+
"model.layers.16.block_sparse_moe.switch_mlp.up_proj.scales": "model-00003-of-00006.safetensors",
|
231 |
+
"model.layers.16.block_sparse_moe.switch_mlp.up_proj.weight": "model-00003-of-00006.safetensors",
|
232 |
+
"model.layers.16.input_layernorm.weight": "model-00003-of-00006.safetensors",
|
233 |
+
"model.layers.16.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
|
234 |
+
"model.layers.16.self_attn.k_proj.biases": "model-00003-of-00006.safetensors",
|
235 |
+
"model.layers.16.self_attn.k_proj.scales": "model-00003-of-00006.safetensors",
|
236 |
+
"model.layers.16.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
|
237 |
+
"model.layers.16.self_attn.o_proj.biases": "model-00003-of-00006.safetensors",
|
238 |
+
"model.layers.16.self_attn.o_proj.scales": "model-00003-of-00006.safetensors",
|
239 |
+
"model.layers.16.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
|
240 |
+
"model.layers.16.self_attn.q_proj.biases": "model-00003-of-00006.safetensors",
|
241 |
+
"model.layers.16.self_attn.q_proj.scales": "model-00003-of-00006.safetensors",
|
242 |
+
"model.layers.16.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
|
243 |
+
"model.layers.16.self_attn.v_proj.biases": "model-00003-of-00006.safetensors",
|
244 |
+
"model.layers.16.self_attn.v_proj.scales": "model-00003-of-00006.safetensors",
|
245 |
+
"model.layers.16.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
|
246 |
+
"model.layers.17.block_sparse_moe.gate.biases": "model-00003-of-00006.safetensors",
|
247 |
+
"model.layers.17.block_sparse_moe.gate.scales": "model-00003-of-00006.safetensors",
|
248 |
+
"model.layers.17.block_sparse_moe.gate.weight": "model-00003-of-00006.safetensors",
|
249 |
+
"model.layers.17.block_sparse_moe.switch_mlp.down_proj.biases": "model-00003-of-00006.safetensors",
|
250 |
+
"model.layers.17.block_sparse_moe.switch_mlp.down_proj.scales": "model-00003-of-00006.safetensors",
|
251 |
+
"model.layers.17.block_sparse_moe.switch_mlp.down_proj.weight": "model-00003-of-00006.safetensors",
|
252 |
+
"model.layers.17.block_sparse_moe.switch_mlp.gate_proj.biases": "model-00003-of-00006.safetensors",
|
253 |
+
"model.layers.17.block_sparse_moe.switch_mlp.gate_proj.scales": "model-00003-of-00006.safetensors",
|
254 |
+
"model.layers.17.block_sparse_moe.switch_mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
|
255 |
+
"model.layers.17.block_sparse_moe.switch_mlp.up_proj.biases": "model-00003-of-00006.safetensors",
|
256 |
+
"model.layers.17.block_sparse_moe.switch_mlp.up_proj.scales": "model-00003-of-00006.safetensors",
|
257 |
+
"model.layers.17.block_sparse_moe.switch_mlp.up_proj.weight": "model-00003-of-00006.safetensors",
|
258 |
+
"model.layers.17.input_layernorm.weight": "model-00003-of-00006.safetensors",
|
259 |
+
"model.layers.17.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
|
260 |
+
"model.layers.17.self_attn.k_proj.biases": "model-00003-of-00006.safetensors",
|
261 |
+
"model.layers.17.self_attn.k_proj.scales": "model-00003-of-00006.safetensors",
|
262 |
+
"model.layers.17.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
|
263 |
+
"model.layers.17.self_attn.o_proj.biases": "model-00003-of-00006.safetensors",
|
264 |
+
"model.layers.17.self_attn.o_proj.scales": "model-00003-of-00006.safetensors",
|
265 |
+
"model.layers.17.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
|
266 |
+
"model.layers.17.self_attn.q_proj.biases": "model-00003-of-00006.safetensors",
|
267 |
+
"model.layers.17.self_attn.q_proj.scales": "model-00003-of-00006.safetensors",
|
268 |
+
"model.layers.17.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
|
269 |
+
"model.layers.17.self_attn.v_proj.biases": "model-00003-of-00006.safetensors",
|
270 |
+
"model.layers.17.self_attn.v_proj.scales": "model-00003-of-00006.safetensors",
|
271 |
+
"model.layers.17.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
|
272 |
+
"model.layers.18.block_sparse_moe.gate.biases": "model-00003-of-00006.safetensors",
|
273 |
+
"model.layers.18.block_sparse_moe.gate.scales": "model-00003-of-00006.safetensors",
|
274 |
+
"model.layers.18.block_sparse_moe.gate.weight": "model-00003-of-00006.safetensors",
|
275 |
+
"model.layers.18.block_sparse_moe.switch_mlp.down_proj.biases": "model-00003-of-00006.safetensors",
|
276 |
+
"model.layers.18.block_sparse_moe.switch_mlp.down_proj.scales": "model-00003-of-00006.safetensors",
|
277 |
+
"model.layers.18.block_sparse_moe.switch_mlp.down_proj.weight": "model-00003-of-00006.safetensors",
|
278 |
+
"model.layers.18.block_sparse_moe.switch_mlp.gate_proj.biases": "model-00003-of-00006.safetensors",
|
279 |
+
"model.layers.18.block_sparse_moe.switch_mlp.gate_proj.scales": "model-00003-of-00006.safetensors",
|
280 |
+
"model.layers.18.block_sparse_moe.switch_mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
|
281 |
+
"model.layers.18.block_sparse_moe.switch_mlp.up_proj.biases": "model-00003-of-00006.safetensors",
|
282 |
+
"model.layers.18.block_sparse_moe.switch_mlp.up_proj.scales": "model-00003-of-00006.safetensors",
|
283 |
+
"model.layers.18.block_sparse_moe.switch_mlp.up_proj.weight": "model-00003-of-00006.safetensors",
|
284 |
+
"model.layers.18.input_layernorm.weight": "model-00003-of-00006.safetensors",
|
285 |
+
"model.layers.18.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
|
286 |
+
"model.layers.18.self_attn.k_proj.biases": "model-00003-of-00006.safetensors",
|
287 |
+
"model.layers.18.self_attn.k_proj.scales": "model-00003-of-00006.safetensors",
|
288 |
+
"model.layers.18.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
|
289 |
+
"model.layers.18.self_attn.o_proj.biases": "model-00003-of-00006.safetensors",
|
290 |
+
"model.layers.18.self_attn.o_proj.scales": "model-00003-of-00006.safetensors",
|
291 |
+
"model.layers.18.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
|
292 |
+
"model.layers.18.self_attn.q_proj.biases": "model-00003-of-00006.safetensors",
|
293 |
+
"model.layers.18.self_attn.q_proj.scales": "model-00003-of-00006.safetensors",
|
294 |
+
"model.layers.18.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
|
295 |
+
"model.layers.18.self_attn.v_proj.biases": "model-00003-of-00006.safetensors",
|
296 |
+
"model.layers.18.self_attn.v_proj.scales": "model-00003-of-00006.safetensors",
|
297 |
+
"model.layers.18.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
|
298 |
+
"model.layers.19.block_sparse_moe.gate.biases": "model-00003-of-00006.safetensors",
|
299 |
+
"model.layers.19.block_sparse_moe.gate.scales": "model-00003-of-00006.safetensors",
|
300 |
+
"model.layers.19.block_sparse_moe.gate.weight": "model-00003-of-00006.safetensors",
|
301 |
+
"model.layers.19.block_sparse_moe.switch_mlp.down_proj.biases": "model-00004-of-00006.safetensors",
|
302 |
+
"model.layers.19.block_sparse_moe.switch_mlp.down_proj.scales": "model-00004-of-00006.safetensors",
|
303 |
+
"model.layers.19.block_sparse_moe.switch_mlp.down_proj.weight": "model-00004-of-00006.safetensors",
|
304 |
+
"model.layers.19.block_sparse_moe.switch_mlp.gate_proj.biases": "model-00004-of-00006.safetensors",
|
305 |
+
"model.layers.19.block_sparse_moe.switch_mlp.gate_proj.scales": "model-00004-of-00006.safetensors",
|
306 |
+
"model.layers.19.block_sparse_moe.switch_mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
|
307 |
+
"model.layers.19.block_sparse_moe.switch_mlp.up_proj.biases": "model-00004-of-00006.safetensors",
|
308 |
+
"model.layers.19.block_sparse_moe.switch_mlp.up_proj.scales": "model-00004-of-00006.safetensors",
|
309 |
+
"model.layers.19.block_sparse_moe.switch_mlp.up_proj.weight": "model-00004-of-00006.safetensors",
|
310 |
+
"model.layers.19.input_layernorm.weight": "model-00004-of-00006.safetensors",
|
311 |
+
"model.layers.19.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
|
312 |
+
"model.layers.19.self_attn.k_proj.biases": "model-00003-of-00006.safetensors",
|
313 |
+
"model.layers.19.self_attn.k_proj.scales": "model-00003-of-00006.safetensors",
|
314 |
+
"model.layers.19.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
|
315 |
+
"model.layers.19.self_attn.o_proj.biases": "model-00003-of-00006.safetensors",
|
316 |
+
"model.layers.19.self_attn.o_proj.scales": "model-00003-of-00006.safetensors",
|
317 |
+
"model.layers.19.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
|
318 |
+
"model.layers.19.self_attn.q_proj.biases": "model-00003-of-00006.safetensors",
|
319 |
+
"model.layers.19.self_attn.q_proj.scales": "model-00003-of-00006.safetensors",
|
320 |
+
"model.layers.19.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
|
321 |
+
"model.layers.19.self_attn.v_proj.biases": "model-00003-of-00006.safetensors",
|
322 |
+
"model.layers.19.self_attn.v_proj.scales": "model-00003-of-00006.safetensors",
|
323 |
+
"model.layers.19.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
|
324 |
+
"model.layers.2.block_sparse_moe.gate.biases": "model-00001-of-00006.safetensors",
|
325 |
+
"model.layers.2.block_sparse_moe.gate.scales": "model-00001-of-00006.safetensors",
|
326 |
+
"model.layers.2.block_sparse_moe.gate.weight": "model-00001-of-00006.safetensors",
|
327 |
+
"model.layers.2.block_sparse_moe.switch_mlp.down_proj.biases": "model-00001-of-00006.safetensors",
|
328 |
+
"model.layers.2.block_sparse_moe.switch_mlp.down_proj.scales": "model-00001-of-00006.safetensors",
|
329 |
+
"model.layers.2.block_sparse_moe.switch_mlp.down_proj.weight": "model-00001-of-00006.safetensors",
|
330 |
+
"model.layers.2.block_sparse_moe.switch_mlp.gate_proj.biases": "model-00001-of-00006.safetensors",
|
331 |
+
"model.layers.2.block_sparse_moe.switch_mlp.gate_proj.scales": "model-00001-of-00006.safetensors",
|
332 |
+
"model.layers.2.block_sparse_moe.switch_mlp.gate_proj.weight": "model-00001-of-00006.safetensors",
|
333 |
+
"model.layers.2.block_sparse_moe.switch_mlp.up_proj.biases": "model-00001-of-00006.safetensors",
|
334 |
+
"model.layers.2.block_sparse_moe.switch_mlp.up_proj.scales": "model-00001-of-00006.safetensors",
|
335 |
+
"model.layers.2.block_sparse_moe.switch_mlp.up_proj.weight": "model-00001-of-00006.safetensors",
|
336 |
+
"model.layers.2.input_layernorm.weight": "model-00001-of-00006.safetensors",
|
337 |
+
"model.layers.2.post_attention_layernorm.weight": "model-00001-of-00006.safetensors",
|
338 |
+
"model.layers.2.self_attn.k_proj.biases": "model-00001-of-00006.safetensors",
|
339 |
+
"model.layers.2.self_attn.k_proj.scales": "model-00001-of-00006.safetensors",
|
340 |
+
"model.layers.2.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
|
341 |
+
"model.layers.2.self_attn.o_proj.biases": "model-00001-of-00006.safetensors",
|
342 |
+
"model.layers.2.self_attn.o_proj.scales": "model-00001-of-00006.safetensors",
|
343 |
+
"model.layers.2.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
|
344 |
+
"model.layers.2.self_attn.q_proj.biases": "model-00001-of-00006.safetensors",
|
345 |
+
"model.layers.2.self_attn.q_proj.scales": "model-00001-of-00006.safetensors",
|
346 |
+
"model.layers.2.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
|
347 |
+
"model.layers.2.self_attn.v_proj.biases": "model-00001-of-00006.safetensors",
|
348 |
+
"model.layers.2.self_attn.v_proj.scales": "model-00001-of-00006.safetensors",
|
349 |
+
"model.layers.2.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
|
350 |
+
"model.layers.20.block_sparse_moe.gate.biases": "model-00004-of-00006.safetensors",
|
351 |
+
"model.layers.20.block_sparse_moe.gate.scales": "model-00004-of-00006.safetensors",
|
352 |
+
"model.layers.20.block_sparse_moe.gate.weight": "model-00004-of-00006.safetensors",
|
353 |
+
"model.layers.20.block_sparse_moe.switch_mlp.down_proj.biases": "model-00004-of-00006.safetensors",
|
354 |
+
"model.layers.20.block_sparse_moe.switch_mlp.down_proj.scales": "model-00004-of-00006.safetensors",
|
355 |
+
"model.layers.20.block_sparse_moe.switch_mlp.down_proj.weight": "model-00004-of-00006.safetensors",
|
356 |
+
"model.layers.20.block_sparse_moe.switch_mlp.gate_proj.biases": "model-00004-of-00006.safetensors",
|
357 |
+
"model.layers.20.block_sparse_moe.switch_mlp.gate_proj.scales": "model-00004-of-00006.safetensors",
|
358 |
+
"model.layers.20.block_sparse_moe.switch_mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
|
359 |
+
"model.layers.20.block_sparse_moe.switch_mlp.up_proj.biases": "model-00004-of-00006.safetensors",
|
360 |
+
"model.layers.20.block_sparse_moe.switch_mlp.up_proj.scales": "model-00004-of-00006.safetensors",
|
361 |
+
"model.layers.20.block_sparse_moe.switch_mlp.up_proj.weight": "model-00004-of-00006.safetensors",
|
362 |
+
"model.layers.20.input_layernorm.weight": "model-00004-of-00006.safetensors",
|
363 |
+
"model.layers.20.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
|
364 |
+
"model.layers.20.self_attn.k_proj.biases": "model-00004-of-00006.safetensors",
|
365 |
+
"model.layers.20.self_attn.k_proj.scales": "model-00004-of-00006.safetensors",
|
366 |
+
"model.layers.20.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
|
367 |
+
"model.layers.20.self_attn.o_proj.biases": "model-00004-of-00006.safetensors",
|
368 |
+
"model.layers.20.self_attn.o_proj.scales": "model-00004-of-00006.safetensors",
|
369 |
+
"model.layers.20.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
|
370 |
+
"model.layers.20.self_attn.q_proj.biases": "model-00004-of-00006.safetensors",
|
371 |
+
"model.layers.20.self_attn.q_proj.scales": "model-00004-of-00006.safetensors",
|
372 |
+
"model.layers.20.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
|
373 |
+
"model.layers.20.self_attn.v_proj.biases": "model-00004-of-00006.safetensors",
|
374 |
+
"model.layers.20.self_attn.v_proj.scales": "model-00004-of-00006.safetensors",
|
375 |
+
"model.layers.20.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
|
376 |
+
"model.layers.21.block_sparse_moe.gate.biases": "model-00004-of-00006.safetensors",
|
377 |
+
"model.layers.21.block_sparse_moe.gate.scales": "model-00004-of-00006.safetensors",
|
378 |
+
"model.layers.21.block_sparse_moe.gate.weight": "model-00004-of-00006.safetensors",
|
379 |
+
"model.layers.21.block_sparse_moe.switch_mlp.down_proj.biases": "model-00004-of-00006.safetensors",
|
380 |
+
"model.layers.21.block_sparse_moe.switch_mlp.down_proj.scales": "model-00004-of-00006.safetensors",
|
381 |
+
"model.layers.21.block_sparse_moe.switch_mlp.down_proj.weight": "model-00004-of-00006.safetensors",
|
382 |
+
"model.layers.21.block_sparse_moe.switch_mlp.gate_proj.biases": "model-00004-of-00006.safetensors",
|
383 |
+
"model.layers.21.block_sparse_moe.switch_mlp.gate_proj.scales": "model-00004-of-00006.safetensors",
|
384 |
+
"model.layers.21.block_sparse_moe.switch_mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
|
385 |
+
"model.layers.21.block_sparse_moe.switch_mlp.up_proj.biases": "model-00004-of-00006.safetensors",
|
386 |
+
"model.layers.21.block_sparse_moe.switch_mlp.up_proj.scales": "model-00004-of-00006.safetensors",
|
387 |
+
"model.layers.21.block_sparse_moe.switch_mlp.up_proj.weight": "model-00004-of-00006.safetensors",
|
388 |
+
"model.layers.21.input_layernorm.weight": "model-00004-of-00006.safetensors",
|
389 |
+
"model.layers.21.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
|
390 |
+
"model.layers.21.self_attn.k_proj.biases": "model-00004-of-00006.safetensors",
|
391 |
+
"model.layers.21.self_attn.k_proj.scales": "model-00004-of-00006.safetensors",
|
392 |
+
"model.layers.21.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
|
393 |
+
"model.layers.21.self_attn.o_proj.biases": "model-00004-of-00006.safetensors",
|
394 |
+
"model.layers.21.self_attn.o_proj.scales": "model-00004-of-00006.safetensors",
|
395 |
+
"model.layers.21.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
|
396 |
+
"model.layers.21.self_attn.q_proj.biases": "model-00004-of-00006.safetensors",
|
397 |
+
"model.layers.21.self_attn.q_proj.scales": "model-00004-of-00006.safetensors",
|
398 |
+
"model.layers.21.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
|
399 |
+
"model.layers.21.self_attn.v_proj.biases": "model-00004-of-00006.safetensors",
|
400 |
+
"model.layers.21.self_attn.v_proj.scales": "model-00004-of-00006.safetensors",
|
401 |
+
"model.layers.21.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
|
402 |
+
"model.layers.22.block_sparse_moe.gate.biases": "model-00004-of-00006.safetensors",
|
403 |
+
"model.layers.22.block_sparse_moe.gate.scales": "model-00004-of-00006.safetensors",
|
404 |
+
"model.layers.22.block_sparse_moe.gate.weight": "model-00004-of-00006.safetensors",
|
405 |
+
"model.layers.22.block_sparse_moe.switch_mlp.down_proj.biases": "model-00004-of-00006.safetensors",
|
406 |
+
"model.layers.22.block_sparse_moe.switch_mlp.down_proj.scales": "model-00004-of-00006.safetensors",
|
407 |
+
"model.layers.22.block_sparse_moe.switch_mlp.down_proj.weight": "model-00004-of-00006.safetensors",
|
408 |
+
"model.layers.22.block_sparse_moe.switch_mlp.gate_proj.biases": "model-00004-of-00006.safetensors",
|
409 |
+
"model.layers.22.block_sparse_moe.switch_mlp.gate_proj.scales": "model-00004-of-00006.safetensors",
|
410 |
+
"model.layers.22.block_sparse_moe.switch_mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
|
411 |
+
"model.layers.22.block_sparse_moe.switch_mlp.up_proj.biases": "model-00004-of-00006.safetensors",
|
412 |
+
"model.layers.22.block_sparse_moe.switch_mlp.up_proj.scales": "model-00004-of-00006.safetensors",
|
413 |
+
"model.layers.22.block_sparse_moe.switch_mlp.up_proj.weight": "model-00004-of-00006.safetensors",
|
414 |
+
"model.layers.22.input_layernorm.weight": "model-00004-of-00006.safetensors",
|
415 |
+
"model.layers.22.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
|
416 |
+
"model.layers.22.self_attn.k_proj.biases": "model-00004-of-00006.safetensors",
|
417 |
+
"model.layers.22.self_attn.k_proj.scales": "model-00004-of-00006.safetensors",
|
418 |
+
"model.layers.22.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
|
419 |
+
"model.layers.22.self_attn.o_proj.biases": "model-00004-of-00006.safetensors",
|
420 |
+
"model.layers.22.self_attn.o_proj.scales": "model-00004-of-00006.safetensors",
|
421 |
+
"model.layers.22.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
|
422 |
+
"model.layers.22.self_attn.q_proj.biases": "model-00004-of-00006.safetensors",
|
423 |
+
"model.layers.22.self_attn.q_proj.scales": "model-00004-of-00006.safetensors",
|
424 |
+
"model.layers.22.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
|
425 |
+
"model.layers.22.self_attn.v_proj.biases": "model-00004-of-00006.safetensors",
|
426 |
+
"model.layers.22.self_attn.v_proj.scales": "model-00004-of-00006.safetensors",
|
427 |
+
"model.layers.22.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
|
428 |
+
"model.layers.23.block_sparse_moe.gate.biases": "model-00004-of-00006.safetensors",
|
429 |
+
"model.layers.23.block_sparse_moe.gate.scales": "model-00004-of-00006.safetensors",
|
430 |
+
"model.layers.23.block_sparse_moe.gate.weight": "model-00004-of-00006.safetensors",
|
431 |
+
"model.layers.23.block_sparse_moe.switch_mlp.down_proj.biases": "model-00004-of-00006.safetensors",
|
432 |
+
"model.layers.23.block_sparse_moe.switch_mlp.down_proj.scales": "model-00004-of-00006.safetensors",
|
433 |
+
"model.layers.23.block_sparse_moe.switch_mlp.down_proj.weight": "model-00004-of-00006.safetensors",
|
434 |
+
"model.layers.23.block_sparse_moe.switch_mlp.gate_proj.biases": "model-00004-of-00006.safetensors",
|
435 |
+
"model.layers.23.block_sparse_moe.switch_mlp.gate_proj.scales": "model-00004-of-00006.safetensors",
|
436 |
+
"model.layers.23.block_sparse_moe.switch_mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
|
437 |
+
"model.layers.23.block_sparse_moe.switch_mlp.up_proj.biases": "model-00004-of-00006.safetensors",
|
438 |
+
"model.layers.23.block_sparse_moe.switch_mlp.up_proj.scales": "model-00004-of-00006.safetensors",
|
439 |
+
"model.layers.23.block_sparse_moe.switch_mlp.up_proj.weight": "model-00004-of-00006.safetensors",
|
440 |
+
"model.layers.23.input_layernorm.weight": "model-00004-of-00006.safetensors",
|
441 |
+
"model.layers.23.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
|
442 |
+
"model.layers.23.self_attn.k_proj.biases": "model-00004-of-00006.safetensors",
|
443 |
+
"model.layers.23.self_attn.k_proj.scales": "model-00004-of-00006.safetensors",
|
444 |
+
"model.layers.23.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
|
445 |
+
"model.layers.23.self_attn.o_proj.biases": "model-00004-of-00006.safetensors",
|
446 |
+
"model.layers.23.self_attn.o_proj.scales": "model-00004-of-00006.safetensors",
|
447 |
+
"model.layers.23.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
|
448 |
+
"model.layers.23.self_attn.q_proj.biases": "model-00004-of-00006.safetensors",
|
449 |
+
"model.layers.23.self_attn.q_proj.scales": "model-00004-of-00006.safetensors",
|
450 |
+
"model.layers.23.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
|
451 |
+
"model.layers.23.self_attn.v_proj.biases": "model-00004-of-00006.safetensors",
|
452 |
+
"model.layers.23.self_attn.v_proj.scales": "model-00004-of-00006.safetensors",
|
453 |
+
"model.layers.23.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
|
454 |
+
"model.layers.24.block_sparse_moe.gate.biases": "model-00004-of-00006.safetensors",
|
455 |
+
"model.layers.24.block_sparse_moe.gate.scales": "model-00004-of-00006.safetensors",
|
456 |
+
"model.layers.24.block_sparse_moe.gate.weight": "model-00004-of-00006.safetensors",
|
457 |
+
"model.layers.24.block_sparse_moe.switch_mlp.down_proj.biases": "model-00004-of-00006.safetensors",
|
458 |
+
"model.layers.24.block_sparse_moe.switch_mlp.down_proj.scales": "model-00004-of-00006.safetensors",
|
459 |
+
"model.layers.24.block_sparse_moe.switch_mlp.down_proj.weight": "model-00004-of-00006.safetensors",
|
460 |
+
"model.layers.24.block_sparse_moe.switch_mlp.gate_proj.biases": "model-00004-of-00006.safetensors",
|
461 |
+
"model.layers.24.block_sparse_moe.switch_mlp.gate_proj.scales": "model-00004-of-00006.safetensors",
|
462 |
+
"model.layers.24.block_sparse_moe.switch_mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
|
463 |
+
"model.layers.24.block_sparse_moe.switch_mlp.up_proj.biases": "model-00004-of-00006.safetensors",
|
464 |
+
"model.layers.24.block_sparse_moe.switch_mlp.up_proj.scales": "model-00004-of-00006.safetensors",
|
465 |
+
"model.layers.24.block_sparse_moe.switch_mlp.up_proj.weight": "model-00004-of-00006.safetensors",
|
466 |
+
"model.layers.24.input_layernorm.weight": "model-00004-of-00006.safetensors",
|
467 |
+
"model.layers.24.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
|
468 |
+
"model.layers.24.self_attn.k_proj.biases": "model-00004-of-00006.safetensors",
|
469 |
+
"model.layers.24.self_attn.k_proj.scales": "model-00004-of-00006.safetensors",
|
470 |
+
"model.layers.24.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
|
471 |
+
"model.layers.24.self_attn.o_proj.biases": "model-00004-of-00006.safetensors",
|
472 |
+
"model.layers.24.self_attn.o_proj.scales": "model-00004-of-00006.safetensors",
|
473 |
+
"model.layers.24.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
|
474 |
+
"model.layers.24.self_attn.q_proj.biases": "model-00004-of-00006.safetensors",
|
475 |
+
"model.layers.24.self_attn.q_proj.scales": "model-00004-of-00006.safetensors",
|
476 |
+
"model.layers.24.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
|
477 |
+
"model.layers.24.self_attn.v_proj.biases": "model-00004-of-00006.safetensors",
|
478 |
+
"model.layers.24.self_attn.v_proj.scales": "model-00004-of-00006.safetensors",
|
479 |
+
"model.layers.24.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
|
480 |
+
"model.layers.25.block_sparse_moe.gate.biases": "model-00004-of-00006.safetensors",
|
481 |
+
"model.layers.25.block_sparse_moe.gate.scales": "model-00004-of-00006.safetensors",
|
482 |
+
"model.layers.25.block_sparse_moe.gate.weight": "model-00004-of-00006.safetensors",
|
483 |
+
"model.layers.25.block_sparse_moe.switch_mlp.down_proj.biases": "model-00005-of-00006.safetensors",
|
484 |
+
"model.layers.25.block_sparse_moe.switch_mlp.down_proj.scales": "model-00005-of-00006.safetensors",
|
485 |
+
"model.layers.25.block_sparse_moe.switch_mlp.down_proj.weight": "model-00005-of-00006.safetensors",
|
486 |
+
"model.layers.25.block_sparse_moe.switch_mlp.gate_proj.biases": "model-00004-of-00006.safetensors",
|
487 |
+
"model.layers.25.block_sparse_moe.switch_mlp.gate_proj.scales": "model-00004-of-00006.safetensors",
|
488 |
+
"model.layers.25.block_sparse_moe.switch_mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
|
489 |
+
"model.layers.25.block_sparse_moe.switch_mlp.up_proj.biases": "model-00005-of-00006.safetensors",
|
490 |
+
"model.layers.25.block_sparse_moe.switch_mlp.up_proj.scales": "model-00005-of-00006.safetensors",
|
491 |
+
"model.layers.25.block_sparse_moe.switch_mlp.up_proj.weight": "model-00005-of-00006.safetensors",
|
492 |
+
"model.layers.25.input_layernorm.weight": "model-00005-of-00006.safetensors",
|
493 |
+
"model.layers.25.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
|
494 |
+
"model.layers.25.self_attn.k_proj.biases": "model-00004-of-00006.safetensors",
|
495 |
+
"model.layers.25.self_attn.k_proj.scales": "model-00004-of-00006.safetensors",
|
496 |
+
"model.layers.25.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
|
497 |
+
"model.layers.25.self_attn.o_proj.biases": "model-00004-of-00006.safetensors",
|
498 |
+
"model.layers.25.self_attn.o_proj.scales": "model-00004-of-00006.safetensors",
|
499 |
+
"model.layers.25.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
|
500 |
+
"model.layers.25.self_attn.q_proj.biases": "model-00004-of-00006.safetensors",
|
501 |
+
"model.layers.25.self_attn.q_proj.scales": "model-00004-of-00006.safetensors",
|
502 |
+
"model.layers.25.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
|
503 |
+
"model.layers.25.self_attn.v_proj.biases": "model-00004-of-00006.safetensors",
|
504 |
+
"model.layers.25.self_attn.v_proj.scales": "model-00004-of-00006.safetensors",
|
505 |
+
"model.layers.25.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
|
506 |
+
"model.layers.26.block_sparse_moe.gate.biases": "model-00005-of-00006.safetensors",
|
507 |
+
"model.layers.26.block_sparse_moe.gate.scales": "model-00005-of-00006.safetensors",
|
508 |
+
"model.layers.26.block_sparse_moe.gate.weight": "model-00005-of-00006.safetensors",
|
509 |
+
"model.layers.26.block_sparse_moe.switch_mlp.down_proj.biases": "model-00005-of-00006.safetensors",
|
510 |
+
"model.layers.26.block_sparse_moe.switch_mlp.down_proj.scales": "model-00005-of-00006.safetensors",
|
511 |
+
"model.layers.26.block_sparse_moe.switch_mlp.down_proj.weight": "model-00005-of-00006.safetensors",
|
512 |
+
"model.layers.26.block_sparse_moe.switch_mlp.gate_proj.biases": "model-00005-of-00006.safetensors",
|
513 |
+
"model.layers.26.block_sparse_moe.switch_mlp.gate_proj.scales": "model-00005-of-00006.safetensors",
|
514 |
+
"model.layers.26.block_sparse_moe.switch_mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
|
515 |
+
"model.layers.26.block_sparse_moe.switch_mlp.up_proj.biases": "model-00005-of-00006.safetensors",
|
516 |
+
"model.layers.26.block_sparse_moe.switch_mlp.up_proj.scales": "model-00005-of-00006.safetensors",
|
517 |
+
"model.layers.26.block_sparse_moe.switch_mlp.up_proj.weight": "model-00005-of-00006.safetensors",
|
518 |
+
"model.layers.26.input_layernorm.weight": "model-00005-of-00006.safetensors",
|
519 |
+
"model.layers.26.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
|
520 |
+
"model.layers.26.self_attn.k_proj.biases": "model-00005-of-00006.safetensors",
|
521 |
+
"model.layers.26.self_attn.k_proj.scales": "model-00005-of-00006.safetensors",
|
522 |
+
"model.layers.26.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
|
523 |
+
"model.layers.26.self_attn.o_proj.biases": "model-00005-of-00006.safetensors",
|
524 |
+
"model.layers.26.self_attn.o_proj.scales": "model-00005-of-00006.safetensors",
|
525 |
+
"model.layers.26.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
|
526 |
+
"model.layers.26.self_attn.q_proj.biases": "model-00005-of-00006.safetensors",
|
527 |
+
"model.layers.26.self_attn.q_proj.scales": "model-00005-of-00006.safetensors",
|
528 |
+
"model.layers.26.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
|
529 |
+
"model.layers.26.self_attn.v_proj.biases": "model-00005-of-00006.safetensors",
|
530 |
+
"model.layers.26.self_attn.v_proj.scales": "model-00005-of-00006.safetensors",
|
531 |
+
"model.layers.26.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
|
532 |
+
"model.layers.27.block_sparse_moe.gate.biases": "model-00005-of-00006.safetensors",
|
533 |
+
"model.layers.27.block_sparse_moe.gate.scales": "model-00005-of-00006.safetensors",
|
534 |
+
"model.layers.27.block_sparse_moe.gate.weight": "model-00005-of-00006.safetensors",
|
535 |
+
"model.layers.27.block_sparse_moe.switch_mlp.down_proj.biases": "model-00005-of-00006.safetensors",
|
536 |
+
"model.layers.27.block_sparse_moe.switch_mlp.down_proj.scales": "model-00005-of-00006.safetensors",
|
537 |
+
"model.layers.27.block_sparse_moe.switch_mlp.down_proj.weight": "model-00005-of-00006.safetensors",
|
538 |
+
"model.layers.27.block_sparse_moe.switch_mlp.gate_proj.biases": "model-00005-of-00006.safetensors",
|
539 |
+
"model.layers.27.block_sparse_moe.switch_mlp.gate_proj.scales": "model-00005-of-00006.safetensors",
|
540 |
+
"model.layers.27.block_sparse_moe.switch_mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
|
541 |
+
"model.layers.27.block_sparse_moe.switch_mlp.up_proj.biases": "model-00005-of-00006.safetensors",
|
542 |
+
"model.layers.27.block_sparse_moe.switch_mlp.up_proj.scales": "model-00005-of-00006.safetensors",
|
543 |
+
"model.layers.27.block_sparse_moe.switch_mlp.up_proj.weight": "model-00005-of-00006.safetensors",
|
544 |
+
"model.layers.27.input_layernorm.weight": "model-00005-of-00006.safetensors",
|
545 |
+
"model.layers.27.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
|
546 |
+
"model.layers.27.self_attn.k_proj.biases": "model-00005-of-00006.safetensors",
|
547 |
+
"model.layers.27.self_attn.k_proj.scales": "model-00005-of-00006.safetensors",
|
548 |
+
"model.layers.27.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
|
549 |
+
"model.layers.27.self_attn.o_proj.biases": "model-00005-of-00006.safetensors",
|
550 |
+
"model.layers.27.self_attn.o_proj.scales": "model-00005-of-00006.safetensors",
|
551 |
+
"model.layers.27.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
|
552 |
+
"model.layers.27.self_attn.q_proj.biases": "model-00005-of-00006.safetensors",
|
553 |
+
"model.layers.27.self_attn.q_proj.scales": "model-00005-of-00006.safetensors",
|
554 |
+
"model.layers.27.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
|
555 |
+
"model.layers.27.self_attn.v_proj.biases": "model-00005-of-00006.safetensors",
|
556 |
+
"model.layers.27.self_attn.v_proj.scales": "model-00005-of-00006.safetensors",
|
557 |
+
"model.layers.27.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
|
558 |
+
"model.layers.28.block_sparse_moe.gate.biases": "model-00005-of-00006.safetensors",
|
559 |
+
"model.layers.28.block_sparse_moe.gate.scales": "model-00005-of-00006.safetensors",
|
560 |
+
"model.layers.28.block_sparse_moe.gate.weight": "model-00005-of-00006.safetensors",
|
561 |
+
"model.layers.28.block_sparse_moe.switch_mlp.down_proj.biases": "model-00005-of-00006.safetensors",
|
562 |
+
"model.layers.28.block_sparse_moe.switch_mlp.down_proj.scales": "model-00005-of-00006.safetensors",
|
563 |
+
"model.layers.28.block_sparse_moe.switch_mlp.down_proj.weight": "model-00005-of-00006.safetensors",
|
564 |
+
"model.layers.28.block_sparse_moe.switch_mlp.gate_proj.biases": "model-00005-of-00006.safetensors",
|
565 |
+
"model.layers.28.block_sparse_moe.switch_mlp.gate_proj.scales": "model-00005-of-00006.safetensors",
|
566 |
+
"model.layers.28.block_sparse_moe.switch_mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
|
567 |
+
"model.layers.28.block_sparse_moe.switch_mlp.up_proj.biases": "model-00005-of-00006.safetensors",
|
568 |
+
"model.layers.28.block_sparse_moe.switch_mlp.up_proj.scales": "model-00005-of-00006.safetensors",
|
569 |
+
"model.layers.28.block_sparse_moe.switch_mlp.up_proj.weight": "model-00005-of-00006.safetensors",
|
570 |
+
"model.layers.28.input_layernorm.weight": "model-00005-of-00006.safetensors",
|
571 |
+
"model.layers.28.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
|
572 |
+
"model.layers.28.self_attn.k_proj.biases": "model-00005-of-00006.safetensors",
|
573 |
+
"model.layers.28.self_attn.k_proj.scales": "model-00005-of-00006.safetensors",
|
574 |
+
"model.layers.28.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
|
575 |
+
"model.layers.28.self_attn.o_proj.biases": "model-00005-of-00006.safetensors",
|
576 |
+
"model.layers.28.self_attn.o_proj.scales": "model-00005-of-00006.safetensors",
|
577 |
+
"model.layers.28.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
|
578 |
+
"model.layers.28.self_attn.q_proj.biases": "model-00005-of-00006.safetensors",
|
579 |
+
"model.layers.28.self_attn.q_proj.scales": "model-00005-of-00006.safetensors",
|
580 |
+
"model.layers.28.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
|
581 |
+
"model.layers.28.self_attn.v_proj.biases": "model-00005-of-00006.safetensors",
|
582 |
+
"model.layers.28.self_attn.v_proj.scales": "model-00005-of-00006.safetensors",
|
583 |
+
"model.layers.28.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
|
584 |
+
"model.layers.29.block_sparse_moe.gate.biases": "model-00005-of-00006.safetensors",
|
585 |
+
"model.layers.29.block_sparse_moe.gate.scales": "model-00005-of-00006.safetensors",
|
586 |
+
"model.layers.29.block_sparse_moe.gate.weight": "model-00005-of-00006.safetensors",
|
587 |
+
"model.layers.29.block_sparse_moe.switch_mlp.down_proj.biases": "model-00005-of-00006.safetensors",
|
588 |
+
"model.layers.29.block_sparse_moe.switch_mlp.down_proj.scales": "model-00005-of-00006.safetensors",
|
589 |
+
"model.layers.29.block_sparse_moe.switch_mlp.down_proj.weight": "model-00005-of-00006.safetensors",
|
590 |
+
"model.layers.29.block_sparse_moe.switch_mlp.gate_proj.biases": "model-00005-of-00006.safetensors",
|
591 |
+
"model.layers.29.block_sparse_moe.switch_mlp.gate_proj.scales": "model-00005-of-00006.safetensors",
|
592 |
+
"model.layers.29.block_sparse_moe.switch_mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
|
593 |
+
"model.layers.29.block_sparse_moe.switch_mlp.up_proj.biases": "model-00005-of-00006.safetensors",
|
594 |
+
"model.layers.29.block_sparse_moe.switch_mlp.up_proj.scales": "model-00005-of-00006.safetensors",
|
595 |
+
"model.layers.29.block_sparse_moe.switch_mlp.up_proj.weight": "model-00005-of-00006.safetensors",
|
596 |
+
"model.layers.29.input_layernorm.weight": "model-00005-of-00006.safetensors",
|
597 |
+
"model.layers.29.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
|
598 |
+
"model.layers.29.self_attn.k_proj.biases": "model-00005-of-00006.safetensors",
|
599 |
+
"model.layers.29.self_attn.k_proj.scales": "model-00005-of-00006.safetensors",
|
600 |
+
"model.layers.29.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
|
601 |
+
"model.layers.29.self_attn.o_proj.biases": "model-00005-of-00006.safetensors",
|
602 |
+
"model.layers.29.self_attn.o_proj.scales": "model-00005-of-00006.safetensors",
|
603 |
+
"model.layers.29.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
|
604 |
+
"model.layers.29.self_attn.q_proj.biases": "model-00005-of-00006.safetensors",
|
605 |
+
"model.layers.29.self_attn.q_proj.scales": "model-00005-of-00006.safetensors",
|
606 |
+
"model.layers.29.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
|
607 |
+
"model.layers.29.self_attn.v_proj.biases": "model-00005-of-00006.safetensors",
|
608 |
+
"model.layers.29.self_attn.v_proj.scales": "model-00005-of-00006.safetensors",
|
609 |
+
"model.layers.29.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
|
610 |
+
"model.layers.3.block_sparse_moe.gate.biases": "model-00001-of-00006.safetensors",
|
611 |
+
"model.layers.3.block_sparse_moe.gate.scales": "model-00001-of-00006.safetensors",
|
612 |
+
"model.layers.3.block_sparse_moe.gate.weight": "model-00001-of-00006.safetensors",
|
613 |
+
"model.layers.3.block_sparse_moe.switch_mlp.down_proj.biases": "model-00001-of-00006.safetensors",
|
614 |
+
"model.layers.3.block_sparse_moe.switch_mlp.down_proj.scales": "model-00001-of-00006.safetensors",
|
615 |
+
"model.layers.3.block_sparse_moe.switch_mlp.down_proj.weight": "model-00001-of-00006.safetensors",
|
616 |
+
"model.layers.3.block_sparse_moe.switch_mlp.gate_proj.biases": "model-00001-of-00006.safetensors",
|
617 |
+
"model.layers.3.block_sparse_moe.switch_mlp.gate_proj.scales": "model-00001-of-00006.safetensors",
|
618 |
+
"model.layers.3.block_sparse_moe.switch_mlp.gate_proj.weight": "model-00001-of-00006.safetensors",
|
619 |
+
"model.layers.3.block_sparse_moe.switch_mlp.up_proj.biases": "model-00001-of-00006.safetensors",
|
620 |
+
"model.layers.3.block_sparse_moe.switch_mlp.up_proj.scales": "model-00001-of-00006.safetensors",
|
621 |
+
"model.layers.3.block_sparse_moe.switch_mlp.up_proj.weight": "model-00001-of-00006.safetensors",
|
622 |
+
"model.layers.3.input_layernorm.weight": "model-00001-of-00006.safetensors",
|
623 |
+
"model.layers.3.post_attention_layernorm.weight": "model-00001-of-00006.safetensors",
|
624 |
+
"model.layers.3.self_attn.k_proj.biases": "model-00001-of-00006.safetensors",
|
625 |
+
"model.layers.3.self_attn.k_proj.scales": "model-00001-of-00006.safetensors",
|
626 |
+
"model.layers.3.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
|
627 |
+
"model.layers.3.self_attn.o_proj.biases": "model-00001-of-00006.safetensors",
|
628 |
+
"model.layers.3.self_attn.o_proj.scales": "model-00001-of-00006.safetensors",
|
629 |
+
"model.layers.3.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
|
630 |
+
"model.layers.3.self_attn.q_proj.biases": "model-00001-of-00006.safetensors",
|
631 |
+
"model.layers.3.self_attn.q_proj.scales": "model-00001-of-00006.safetensors",
|
632 |
+
"model.layers.3.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
|
633 |
+
"model.layers.3.self_attn.v_proj.biases": "model-00001-of-00006.safetensors",
|
634 |
+
"model.layers.3.self_attn.v_proj.scales": "model-00001-of-00006.safetensors",
|
635 |
+
"model.layers.3.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
|
636 |
+
"model.layers.30.block_sparse_moe.gate.biases": "model-00005-of-00006.safetensors",
|
637 |
+
"model.layers.30.block_sparse_moe.gate.scales": "model-00005-of-00006.safetensors",
|
638 |
+
"model.layers.30.block_sparse_moe.gate.weight": "model-00005-of-00006.safetensors",
|
639 |
+
"model.layers.30.block_sparse_moe.switch_mlp.down_proj.biases": "model-00005-of-00006.safetensors",
|
640 |
+
"model.layers.30.block_sparse_moe.switch_mlp.down_proj.scales": "model-00005-of-00006.safetensors",
|
641 |
+
"model.layers.30.block_sparse_moe.switch_mlp.down_proj.weight": "model-00005-of-00006.safetensors",
|
642 |
+
"model.layers.30.block_sparse_moe.switch_mlp.gate_proj.biases": "model-00005-of-00006.safetensors",
|
643 |
+
"model.layers.30.block_sparse_moe.switch_mlp.gate_proj.scales": "model-00005-of-00006.safetensors",
|
644 |
+
"model.layers.30.block_sparse_moe.switch_mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
|
645 |
+
"model.layers.30.block_sparse_moe.switch_mlp.up_proj.biases": "model-00005-of-00006.safetensors",
|
646 |
+
"model.layers.30.block_sparse_moe.switch_mlp.up_proj.scales": "model-00005-of-00006.safetensors",
|
647 |
+
"model.layers.30.block_sparse_moe.switch_mlp.up_proj.weight": "model-00005-of-00006.safetensors",
|
648 |
+
"model.layers.30.input_layernorm.weight": "model-00005-of-00006.safetensors",
|
649 |
+
"model.layers.30.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
|
650 |
+
"model.layers.30.self_attn.k_proj.biases": "model-00005-of-00006.safetensors",
|
651 |
+
"model.layers.30.self_attn.k_proj.scales": "model-00005-of-00006.safetensors",
|
652 |
+
"model.layers.30.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
|
653 |
+
"model.layers.30.self_attn.o_proj.biases": "model-00005-of-00006.safetensors",
|
654 |
+
"model.layers.30.self_attn.o_proj.scales": "model-00005-of-00006.safetensors",
|
655 |
+
"model.layers.30.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
|
656 |
+
"model.layers.30.self_attn.q_proj.biases": "model-00005-of-00006.safetensors",
|
657 |
+
"model.layers.30.self_attn.q_proj.scales": "model-00005-of-00006.safetensors",
|
658 |
+
"model.layers.30.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
|
659 |
+
"model.layers.30.self_attn.v_proj.biases": "model-00005-of-00006.safetensors",
|
660 |
+
"model.layers.30.self_attn.v_proj.scales": "model-00005-of-00006.safetensors",
|
661 |
+
"model.layers.30.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
|
662 |
+
"model.layers.31.block_sparse_moe.gate.biases": "model-00005-of-00006.safetensors",
|
663 |
+
"model.layers.31.block_sparse_moe.gate.scales": "model-00005-of-00006.safetensors",
|
664 |
+
"model.layers.31.block_sparse_moe.gate.weight": "model-00005-of-00006.safetensors",
|
665 |
+
"model.layers.31.block_sparse_moe.switch_mlp.down_proj.biases": "model-00006-of-00006.safetensors",
|
666 |
+
"model.layers.31.block_sparse_moe.switch_mlp.down_proj.scales": "model-00006-of-00006.safetensors",
|
667 |
+
"model.layers.31.block_sparse_moe.switch_mlp.down_proj.weight": "model-00006-of-00006.safetensors",
|
668 |
+
"model.layers.31.block_sparse_moe.switch_mlp.gate_proj.biases": "model-00005-of-00006.safetensors",
|
669 |
+
"model.layers.31.block_sparse_moe.switch_mlp.gate_proj.scales": "model-00005-of-00006.safetensors",
|
670 |
+
"model.layers.31.block_sparse_moe.switch_mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
|
671 |
+
"model.layers.31.block_sparse_moe.switch_mlp.up_proj.biases": "model-00005-of-00006.safetensors",
|
672 |
+
"model.layers.31.block_sparse_moe.switch_mlp.up_proj.scales": "model-00005-of-00006.safetensors",
|
673 |
+
"model.layers.31.block_sparse_moe.switch_mlp.up_proj.weight": "model-00005-of-00006.safetensors",
|
674 |
+
"model.layers.31.input_layernorm.weight": "model-00006-of-00006.safetensors",
|
675 |
+
"model.layers.31.post_attention_layernorm.weight": "model-00006-of-00006.safetensors",
|
676 |
+
"model.layers.31.self_attn.k_proj.biases": "model-00005-of-00006.safetensors",
|
677 |
+
"model.layers.31.self_attn.k_proj.scales": "model-00005-of-00006.safetensors",
|
678 |
+
"model.layers.31.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
|
679 |
+
"model.layers.31.self_attn.o_proj.biases": "model-00005-of-00006.safetensors",
|
680 |
+
"model.layers.31.self_attn.o_proj.scales": "model-00005-of-00006.safetensors",
|
681 |
+
"model.layers.31.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
|
682 |
+
"model.layers.31.self_attn.q_proj.biases": "model-00005-of-00006.safetensors",
|
683 |
+
"model.layers.31.self_attn.q_proj.scales": "model-00005-of-00006.safetensors",
|
684 |
+
"model.layers.31.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
|
685 |
+
"model.layers.31.self_attn.v_proj.biases": "model-00005-of-00006.safetensors",
|
686 |
+
"model.layers.31.self_attn.v_proj.scales": "model-00005-of-00006.safetensors",
|
687 |
+
"model.layers.31.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
|
688 |
+
"model.layers.4.block_sparse_moe.gate.biases": "model-00001-of-00006.safetensors",
|
689 |
+
"model.layers.4.block_sparse_moe.gate.scales": "model-00001-of-00006.safetensors",
|
690 |
+
"model.layers.4.block_sparse_moe.gate.weight": "model-00001-of-00006.safetensors",
|
691 |
+
"model.layers.4.block_sparse_moe.switch_mlp.down_proj.biases": "model-00001-of-00006.safetensors",
|
692 |
+
"model.layers.4.block_sparse_moe.switch_mlp.down_proj.scales": "model-00001-of-00006.safetensors",
|
693 |
+
"model.layers.4.block_sparse_moe.switch_mlp.down_proj.weight": "model-00001-of-00006.safetensors",
|
694 |
+
"model.layers.4.block_sparse_moe.switch_mlp.gate_proj.biases": "model-00001-of-00006.safetensors",
|
695 |
+
"model.layers.4.block_sparse_moe.switch_mlp.gate_proj.scales": "model-00001-of-00006.safetensors",
|
696 |
+
"model.layers.4.block_sparse_moe.switch_mlp.gate_proj.weight": "model-00001-of-00006.safetensors",
|
697 |
+
"model.layers.4.block_sparse_moe.switch_mlp.up_proj.biases": "model-00001-of-00006.safetensors",
|
698 |
+
"model.layers.4.block_sparse_moe.switch_mlp.up_proj.scales": "model-00001-of-00006.safetensors",
|
699 |
+
"model.layers.4.block_sparse_moe.switch_mlp.up_proj.weight": "model-00001-of-00006.safetensors",
|
700 |
+
"model.layers.4.input_layernorm.weight": "model-00001-of-00006.safetensors",
|
701 |
+
"model.layers.4.post_attention_layernorm.weight": "model-00001-of-00006.safetensors",
|
702 |
+
"model.layers.4.self_attn.k_proj.biases": "model-00001-of-00006.safetensors",
|
703 |
+
"model.layers.4.self_attn.k_proj.scales": "model-00001-of-00006.safetensors",
|
704 |
+
"model.layers.4.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
|
705 |
+
"model.layers.4.self_attn.o_proj.biases": "model-00001-of-00006.safetensors",
|
706 |
+
"model.layers.4.self_attn.o_proj.scales": "model-00001-of-00006.safetensors",
|
707 |
+
"model.layers.4.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
|
708 |
+
"model.layers.4.self_attn.q_proj.biases": "model-00001-of-00006.safetensors",
|
709 |
+
"model.layers.4.self_attn.q_proj.scales": "model-00001-of-00006.safetensors",
|
710 |
+
"model.layers.4.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
|
711 |
+
"model.layers.4.self_attn.v_proj.biases": "model-00001-of-00006.safetensors",
|
712 |
+
"model.layers.4.self_attn.v_proj.scales": "model-00001-of-00006.safetensors",
|
713 |
+
"model.layers.4.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
|
714 |
+
"model.layers.5.block_sparse_moe.gate.biases": "model-00001-of-00006.safetensors",
|
715 |
+
"model.layers.5.block_sparse_moe.gate.scales": "model-00001-of-00006.safetensors",
|
716 |
+
"model.layers.5.block_sparse_moe.gate.weight": "model-00001-of-00006.safetensors",
|
717 |
+
"model.layers.5.block_sparse_moe.switch_mlp.down_proj.biases": "model-00001-of-00006.safetensors",
|
718 |
+
"model.layers.5.block_sparse_moe.switch_mlp.down_proj.scales": "model-00001-of-00006.safetensors",
|
719 |
+
"model.layers.5.block_sparse_moe.switch_mlp.down_proj.weight": "model-00001-of-00006.safetensors",
|
720 |
+
"model.layers.5.block_sparse_moe.switch_mlp.gate_proj.biases": "model-00001-of-00006.safetensors",
|
721 |
+
"model.layers.5.block_sparse_moe.switch_mlp.gate_proj.scales": "model-00001-of-00006.safetensors",
|
722 |
+
"model.layers.5.block_sparse_moe.switch_mlp.gate_proj.weight": "model-00001-of-00006.safetensors",
|
723 |
+
"model.layers.5.block_sparse_moe.switch_mlp.up_proj.biases": "model-00001-of-00006.safetensors",
|
724 |
+
"model.layers.5.block_sparse_moe.switch_mlp.up_proj.scales": "model-00001-of-00006.safetensors",
|
725 |
+
"model.layers.5.block_sparse_moe.switch_mlp.up_proj.weight": "model-00001-of-00006.safetensors",
|
726 |
+
"model.layers.5.input_layernorm.weight": "model-00001-of-00006.safetensors",
|
727 |
+
"model.layers.5.post_attention_layernorm.weight": "model-00001-of-00006.safetensors",
|
728 |
+
"model.layers.5.self_attn.k_proj.biases": "model-00001-of-00006.safetensors",
|
729 |
+
"model.layers.5.self_attn.k_proj.scales": "model-00001-of-00006.safetensors",
|
730 |
+
"model.layers.5.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
|
731 |
+
"model.layers.5.self_attn.o_proj.biases": "model-00001-of-00006.safetensors",
|
732 |
+
"model.layers.5.self_attn.o_proj.scales": "model-00001-of-00006.safetensors",
|
733 |
+
"model.layers.5.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
|
734 |
+
"model.layers.5.self_attn.q_proj.biases": "model-00001-of-00006.safetensors",
|
735 |
+
"model.layers.5.self_attn.q_proj.scales": "model-00001-of-00006.safetensors",
|
736 |
+
"model.layers.5.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
|
737 |
+
"model.layers.5.self_attn.v_proj.biases": "model-00001-of-00006.safetensors",
|
738 |
+
"model.layers.5.self_attn.v_proj.scales": "model-00001-of-00006.safetensors",
|
739 |
+
"model.layers.5.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
|
740 |
+
"model.layers.6.block_sparse_moe.gate.biases": "model-00001-of-00006.safetensors",
|
741 |
+
"model.layers.6.block_sparse_moe.gate.scales": "model-00001-of-00006.safetensors",
|
742 |
+
"model.layers.6.block_sparse_moe.gate.weight": "model-00001-of-00006.safetensors",
|
743 |
+
"model.layers.6.block_sparse_moe.switch_mlp.down_proj.biases": "model-00002-of-00006.safetensors",
|
744 |
+
"model.layers.6.block_sparse_moe.switch_mlp.down_proj.scales": "model-00002-of-00006.safetensors",
|
745 |
+
"model.layers.6.block_sparse_moe.switch_mlp.down_proj.weight": "model-00002-of-00006.safetensors",
|
746 |
+
"model.layers.6.block_sparse_moe.switch_mlp.gate_proj.biases": "model-00001-of-00006.safetensors",
|
747 |
+
"model.layers.6.block_sparse_moe.switch_mlp.gate_proj.scales": "model-00001-of-00006.safetensors",
|
748 |
+
"model.layers.6.block_sparse_moe.switch_mlp.gate_proj.weight": "model-00001-of-00006.safetensors",
|
749 |
+
"model.layers.6.block_sparse_moe.switch_mlp.up_proj.biases": "model-00002-of-00006.safetensors",
|
750 |
+
"model.layers.6.block_sparse_moe.switch_mlp.up_proj.scales": "model-00002-of-00006.safetensors",
|
751 |
+
"model.layers.6.block_sparse_moe.switch_mlp.up_proj.weight": "model-00002-of-00006.safetensors",
|
752 |
+
"model.layers.6.input_layernorm.weight": "model-00002-of-00006.safetensors",
|
753 |
+
"model.layers.6.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
|
754 |
+
"model.layers.6.self_attn.k_proj.biases": "model-00001-of-00006.safetensors",
|
755 |
+
"model.layers.6.self_attn.k_proj.scales": "model-00001-of-00006.safetensors",
|
756 |
+
"model.layers.6.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
|
757 |
+
"model.layers.6.self_attn.o_proj.biases": "model-00001-of-00006.safetensors",
|
758 |
+
"model.layers.6.self_attn.o_proj.scales": "model-00001-of-00006.safetensors",
|
759 |
+
"model.layers.6.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
|
760 |
+
"model.layers.6.self_attn.q_proj.biases": "model-00001-of-00006.safetensors",
|
761 |
+
"model.layers.6.self_attn.q_proj.scales": "model-00001-of-00006.safetensors",
|
762 |
+
"model.layers.6.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
|
763 |
+
"model.layers.6.self_attn.v_proj.biases": "model-00001-of-00006.safetensors",
|
764 |
+
"model.layers.6.self_attn.v_proj.scales": "model-00001-of-00006.safetensors",
|
765 |
+
"model.layers.6.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
|
766 |
+
"model.layers.7.block_sparse_moe.gate.biases": "model-00002-of-00006.safetensors",
|
767 |
+
"model.layers.7.block_sparse_moe.gate.scales": "model-00002-of-00006.safetensors",
|
768 |
+
"model.layers.7.block_sparse_moe.gate.weight": "model-00002-of-00006.safetensors",
|
769 |
+
"model.layers.7.block_sparse_moe.switch_mlp.down_proj.biases": "model-00002-of-00006.safetensors",
|
770 |
+
"model.layers.7.block_sparse_moe.switch_mlp.down_proj.scales": "model-00002-of-00006.safetensors",
|
771 |
+
"model.layers.7.block_sparse_moe.switch_mlp.down_proj.weight": "model-00002-of-00006.safetensors",
|
772 |
+
"model.layers.7.block_sparse_moe.switch_mlp.gate_proj.biases": "model-00002-of-00006.safetensors",
|
773 |
+
"model.layers.7.block_sparse_moe.switch_mlp.gate_proj.scales": "model-00002-of-00006.safetensors",
|
774 |
+
"model.layers.7.block_sparse_moe.switch_mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
|
775 |
+
"model.layers.7.block_sparse_moe.switch_mlp.up_proj.biases": "model-00002-of-00006.safetensors",
|
776 |
+
"model.layers.7.block_sparse_moe.switch_mlp.up_proj.scales": "model-00002-of-00006.safetensors",
|
777 |
+
"model.layers.7.block_sparse_moe.switch_mlp.up_proj.weight": "model-00002-of-00006.safetensors",
|
778 |
+
"model.layers.7.input_layernorm.weight": "model-00002-of-00006.safetensors",
|
779 |
+
"model.layers.7.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
|
780 |
+
"model.layers.7.self_attn.k_proj.biases": "model-00002-of-00006.safetensors",
|
781 |
+
"model.layers.7.self_attn.k_proj.scales": "model-00002-of-00006.safetensors",
|
782 |
+
"model.layers.7.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
|
783 |
+
"model.layers.7.self_attn.o_proj.biases": "model-00002-of-00006.safetensors",
|
784 |
+
"model.layers.7.self_attn.o_proj.scales": "model-00002-of-00006.safetensors",
|
785 |
+
"model.layers.7.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
|
786 |
+
"model.layers.7.self_attn.q_proj.biases": "model-00002-of-00006.safetensors",
|
787 |
+
"model.layers.7.self_attn.q_proj.scales": "model-00002-of-00006.safetensors",
|
788 |
+
"model.layers.7.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
|
789 |
+
"model.layers.7.self_attn.v_proj.biases": "model-00002-of-00006.safetensors",
|
790 |
+
"model.layers.7.self_attn.v_proj.scales": "model-00002-of-00006.safetensors",
|
791 |
+
"model.layers.7.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
|
792 |
+
"model.layers.8.block_sparse_moe.gate.biases": "model-00002-of-00006.safetensors",
|
793 |
+
"model.layers.8.block_sparse_moe.gate.scales": "model-00002-of-00006.safetensors",
|
794 |
+
"model.layers.8.block_sparse_moe.gate.weight": "model-00002-of-00006.safetensors",
|
795 |
+
"model.layers.8.block_sparse_moe.switch_mlp.down_proj.biases": "model-00002-of-00006.safetensors",
|
796 |
+
"model.layers.8.block_sparse_moe.switch_mlp.down_proj.scales": "model-00002-of-00006.safetensors",
|
797 |
+
"model.layers.8.block_sparse_moe.switch_mlp.down_proj.weight": "model-00002-of-00006.safetensors",
|
798 |
+
"model.layers.8.block_sparse_moe.switch_mlp.gate_proj.biases": "model-00002-of-00006.safetensors",
|
799 |
+
"model.layers.8.block_sparse_moe.switch_mlp.gate_proj.scales": "model-00002-of-00006.safetensors",
|
800 |
+
"model.layers.8.block_sparse_moe.switch_mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
|
801 |
+
"model.layers.8.block_sparse_moe.switch_mlp.up_proj.biases": "model-00002-of-00006.safetensors",
|
802 |
+
"model.layers.8.block_sparse_moe.switch_mlp.up_proj.scales": "model-00002-of-00006.safetensors",
|
803 |
+
"model.layers.8.block_sparse_moe.switch_mlp.up_proj.weight": "model-00002-of-00006.safetensors",
|
804 |
+
"model.layers.8.input_layernorm.weight": "model-00002-of-00006.safetensors",
|
805 |
+
"model.layers.8.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
|
806 |
+
"model.layers.8.self_attn.k_proj.biases": "model-00002-of-00006.safetensors",
|
807 |
+
"model.layers.8.self_attn.k_proj.scales": "model-00002-of-00006.safetensors",
|
808 |
+
"model.layers.8.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
|
809 |
+
"model.layers.8.self_attn.o_proj.biases": "model-00002-of-00006.safetensors",
|
810 |
+
"model.layers.8.self_attn.o_proj.scales": "model-00002-of-00006.safetensors",
|
811 |
+
"model.layers.8.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
|
812 |
+
"model.layers.8.self_attn.q_proj.biases": "model-00002-of-00006.safetensors",
|
813 |
+
"model.layers.8.self_attn.q_proj.scales": "model-00002-of-00006.safetensors",
|
814 |
+
"model.layers.8.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
|
815 |
+
"model.layers.8.self_attn.v_proj.biases": "model-00002-of-00006.safetensors",
|
816 |
+
"model.layers.8.self_attn.v_proj.scales": "model-00002-of-00006.safetensors",
|
817 |
+
"model.layers.8.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
|
818 |
+
"model.layers.9.block_sparse_moe.gate.biases": "model-00002-of-00006.safetensors",
|
819 |
+
"model.layers.9.block_sparse_moe.gate.scales": "model-00002-of-00006.safetensors",
|
820 |
+
"model.layers.9.block_sparse_moe.gate.weight": "model-00002-of-00006.safetensors",
|
821 |
+
"model.layers.9.block_sparse_moe.switch_mlp.down_proj.biases": "model-00002-of-00006.safetensors",
|
822 |
+
"model.layers.9.block_sparse_moe.switch_mlp.down_proj.scales": "model-00002-of-00006.safetensors",
|
823 |
+
"model.layers.9.block_sparse_moe.switch_mlp.down_proj.weight": "model-00002-of-00006.safetensors",
|
824 |
+
"model.layers.9.block_sparse_moe.switch_mlp.gate_proj.biases": "model-00002-of-00006.safetensors",
|
825 |
+
"model.layers.9.block_sparse_moe.switch_mlp.gate_proj.scales": "model-00002-of-00006.safetensors",
|
826 |
+
"model.layers.9.block_sparse_moe.switch_mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
|
827 |
+
"model.layers.9.block_sparse_moe.switch_mlp.up_proj.biases": "model-00002-of-00006.safetensors",
|
828 |
+
"model.layers.9.block_sparse_moe.switch_mlp.up_proj.scales": "model-00002-of-00006.safetensors",
|
829 |
+
"model.layers.9.block_sparse_moe.switch_mlp.up_proj.weight": "model-00002-of-00006.safetensors",
|
830 |
+
"model.layers.9.input_layernorm.weight": "model-00002-of-00006.safetensors",
|
831 |
+
"model.layers.9.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
|
832 |
+
"model.layers.9.self_attn.k_proj.biases": "model-00002-of-00006.safetensors",
|
833 |
+
"model.layers.9.self_attn.k_proj.scales": "model-00002-of-00006.safetensors",
|
834 |
+
"model.layers.9.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
|
835 |
+
"model.layers.9.self_attn.o_proj.biases": "model-00002-of-00006.safetensors",
|
836 |
+
"model.layers.9.self_attn.o_proj.scales": "model-00002-of-00006.safetensors",
|
837 |
+
"model.layers.9.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
|
838 |
+
"model.layers.9.self_attn.q_proj.biases": "model-00002-of-00006.safetensors",
|
839 |
+
"model.layers.9.self_attn.q_proj.scales": "model-00002-of-00006.safetensors",
|
840 |
+
"model.layers.9.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
|
841 |
+
"model.layers.9.self_attn.v_proj.biases": "model-00002-of-00006.safetensors",
|
842 |
+
"model.layers.9.self_attn.v_proj.scales": "model-00002-of-00006.safetensors",
|
843 |
+
"model.layers.9.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
|
844 |
+
"model.norm.weight": "model-00006-of-00006.safetensors"
|
845 |
+
}
|
846 |
+
}
|
special_tokens_map.json
ADDED
@@ -0,0 +1,153 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"additional_special_tokens": [
|
3 |
+
"<|START_OF_TURN_TOKEN|>",
|
4 |
+
"<|END_OF_TURN_TOKEN|>",
|
5 |
+
"<|USER_TOKEN|>",
|
6 |
+
"<|CHATBOT_TOKEN|>",
|
7 |
+
"<|SYSTEM_TOKEN|>",
|
8 |
+
"<|EXTRA_5_TOKEN|>",
|
9 |
+
"<|EXTRA_6_TOKEN|>",
|
10 |
+
"<|EXTRA_7_TOKEN|>",
|
11 |
+
"<|EXTRA_8_TOKEN|>",
|
12 |
+
"<|EXTRA_9_TOKEN|>",
|
13 |
+
"<|EXTRA_10_TOKEN|>",
|
14 |
+
"<|EXTRA_11_TOKEN|>",
|
15 |
+
"<|EXTRA_12_TOKEN|>",
|
16 |
+
"<|EXTRA_13_TOKEN|>",
|
17 |
+
"<|EXTRA_14_TOKEN|>",
|
18 |
+
"<|EXTRA_15_TOKEN|>",
|
19 |
+
"<|EXTRA_16_TOKEN|>",
|
20 |
+
"<|EXTRA_17_TOKEN|>",
|
21 |
+
"<|EXTRA_18_TOKEN|>",
|
22 |
+
"<|EXTRA_19_TOKEN|>",
|
23 |
+
"<|EXTRA_20_TOKEN|>",
|
24 |
+
"<|EXTRA_21_TOKEN|>",
|
25 |
+
"<|EXTRA_22_TOKEN|>",
|
26 |
+
"<|EXTRA_23_TOKEN|>",
|
27 |
+
"<|EXTRA_24_TOKEN|>",
|
28 |
+
"<|EXTRA_25_TOKEN|>",
|
29 |
+
"<|EXTRA_26_TOKEN|>",
|
30 |
+
"<|EXTRA_27_TOKEN|>",
|
31 |
+
"<|EXTRA_28_TOKEN|>",
|
32 |
+
"<|EXTRA_29_TOKEN|>",
|
33 |
+
"<|EXTRA_30_TOKEN|>",
|
34 |
+
"<|EXTRA_31_TOKEN|>",
|
35 |
+
"<|EXTRA_32_TOKEN|>",
|
36 |
+
"<|EXTRA_33_TOKEN|>",
|
37 |
+
"<|EXTRA_34_TOKEN|>",
|
38 |
+
"<|EXTRA_35_TOKEN|>",
|
39 |
+
"<|EXTRA_36_TOKEN|>",
|
40 |
+
"<|EXTRA_37_TOKEN|>",
|
41 |
+
"<|EXTRA_38_TOKEN|>",
|
42 |
+
"<|EXTRA_39_TOKEN|>",
|
43 |
+
"<|EXTRA_40_TOKEN|>",
|
44 |
+
"<|EXTRA_41_TOKEN|>",
|
45 |
+
"<|EXTRA_42_TOKEN|>",
|
46 |
+
"<|EXTRA_43_TOKEN|>",
|
47 |
+
"<|EXTRA_44_TOKEN|>",
|
48 |
+
"<|EXTRA_45_TOKEN|>",
|
49 |
+
"<|EXTRA_46_TOKEN|>",
|
50 |
+
"<|EXTRA_47_TOKEN|>",
|
51 |
+
"<|EXTRA_48_TOKEN|>",
|
52 |
+
"<|EXTRA_49_TOKEN|>",
|
53 |
+
"<|EXTRA_50_TOKEN|>",
|
54 |
+
"<|EXTRA_51_TOKEN|>",
|
55 |
+
"<|EXTRA_52_TOKEN|>",
|
56 |
+
"<|EXTRA_53_TOKEN|>",
|
57 |
+
"<|EXTRA_54_TOKEN|>",
|
58 |
+
"<|EXTRA_55_TOKEN|>",
|
59 |
+
"<|EXTRA_56_TOKEN|>",
|
60 |
+
"<|EXTRA_57_TOKEN|>",
|
61 |
+
"<|EXTRA_58_TOKEN|>",
|
62 |
+
"<|EXTRA_59_TOKEN|>",
|
63 |
+
"<|EXTRA_60_TOKEN|>",
|
64 |
+
"<|EXTRA_61_TOKEN|>",
|
65 |
+
"<|EXTRA_62_TOKEN|>",
|
66 |
+
"<|EXTRA_63_TOKEN|>",
|
67 |
+
"<|EXTRA_64_TOKEN|>",
|
68 |
+
"<|EXTRA_65_TOKEN|>",
|
69 |
+
"<|EXTRA_66_TOKEN|>",
|
70 |
+
"<|EXTRA_67_TOKEN|>",
|
71 |
+
"<|EXTRA_68_TOKEN|>",
|
72 |
+
"<|EXTRA_69_TOKEN|>",
|
73 |
+
"<|EXTRA_70_TOKEN|>",
|
74 |
+
"<|EXTRA_71_TOKEN|>",
|
75 |
+
"<|EXTRA_72_TOKEN|>",
|
76 |
+
"<|EXTRA_73_TOKEN|>",
|
77 |
+
"<|EXTRA_74_TOKEN|>",
|
78 |
+
"<|EXTRA_75_TOKEN|>",
|
79 |
+
"<|EXTRA_76_TOKEN|>",
|
80 |
+
"<|EXTRA_77_TOKEN|>",
|
81 |
+
"<|EXTRA_78_TOKEN|>",
|
82 |
+
"<|EXTRA_79_TOKEN|>",
|
83 |
+
"<|EXTRA_80_TOKEN|>",
|
84 |
+
"<|EXTRA_81_TOKEN|>",
|
85 |
+
"<|EXTRA_82_TOKEN|>",
|
86 |
+
"<|EXTRA_83_TOKEN|>",
|
87 |
+
"<|EXTRA_84_TOKEN|>",
|
88 |
+
"<|EXTRA_85_TOKEN|>",
|
89 |
+
"<|EXTRA_86_TOKEN|>",
|
90 |
+
"<|EXTRA_87_TOKEN|>",
|
91 |
+
"<|EXTRA_88_TOKEN|>",
|
92 |
+
"<|EXTRA_89_TOKEN|>",
|
93 |
+
"<|EXTRA_90_TOKEN|>",
|
94 |
+
"<|EXTRA_91_TOKEN|>",
|
95 |
+
"<|EXTRA_92_TOKEN|>",
|
96 |
+
"<|EXTRA_93_TOKEN|>",
|
97 |
+
"<|EXTRA_94_TOKEN|>",
|
98 |
+
"<|EXTRA_95_TOKEN|>",
|
99 |
+
"<|EXTRA_96_TOKEN|>",
|
100 |
+
"<|EXTRA_97_TOKEN|>",
|
101 |
+
"<|EXTRA_98_TOKEN|>",
|
102 |
+
"<|EXTRA_99_TOKEN|>",
|
103 |
+
"<|EXTRA_100_TOKEN|>",
|
104 |
+
"<|EXTRA_101_TOKEN|>",
|
105 |
+
"<|EXTRA_102_TOKEN|>",
|
106 |
+
"<|EXTRA_103_TOKEN|>",
|
107 |
+
"<|EXTRA_104_TOKEN|>",
|
108 |
+
"<|EXTRA_105_TOKEN|>",
|
109 |
+
"<|EXTRA_106_TOKEN|>",
|
110 |
+
"<|EXTRA_107_TOKEN|>",
|
111 |
+
"<|EXTRA_108_TOKEN|>",
|
112 |
+
"<|EXTRA_109_TOKEN|>",
|
113 |
+
"<|EXTRA_110_TOKEN|>",
|
114 |
+
"<|EXTRA_111_TOKEN|>",
|
115 |
+
"<|EXTRA_112_TOKEN|>",
|
116 |
+
"<|EXTRA_113_TOKEN|>",
|
117 |
+
"<|EXTRA_114_TOKEN|>",
|
118 |
+
"<|EXTRA_115_TOKEN|>",
|
119 |
+
"<|EXTRA_116_TOKEN|>",
|
120 |
+
"<|EXTRA_117_TOKEN|>",
|
121 |
+
"<|EXTRA_118_TOKEN|>",
|
122 |
+
"<|EXTRA_119_TOKEN|>",
|
123 |
+
"<|EXTRA_120_TOKEN|>",
|
124 |
+
"<|EXTRA_121_TOKEN|>",
|
125 |
+
"<|EXTRA_122_TOKEN|>",
|
126 |
+
"<|EXTRA_123_TOKEN|>",
|
127 |
+
"<|EXTRA_124_TOKEN|>",
|
128 |
+
"<|EXTRA_125_TOKEN|>",
|
129 |
+
"<|EXTRA_126_TOKEN|>",
|
130 |
+
"<|EXTRA_127_TOKEN|>"
|
131 |
+
],
|
132 |
+
"bos_token": {
|
133 |
+
"content": "<s>",
|
134 |
+
"lstrip": false,
|
135 |
+
"normalized": false,
|
136 |
+
"rstrip": false,
|
137 |
+
"single_word": false
|
138 |
+
},
|
139 |
+
"eos_token": {
|
140 |
+
"content": "<|END_OF_TURN_TOKEN|>",
|
141 |
+
"lstrip": false,
|
142 |
+
"normalized": false,
|
143 |
+
"rstrip": false,
|
144 |
+
"single_word": false
|
145 |
+
},
|
146 |
+
"unk_token": {
|
147 |
+
"content": "<unk>",
|
148 |
+
"lstrip": false,
|
149 |
+
"normalized": false,
|
150 |
+
"rstrip": false,
|
151 |
+
"single_word": false
|
152 |
+
}
|
153 |
+
}
|
tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
tokenizer.model
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:dadfd56d766715c61d2ef780a525ab43b8e6da4de6865bda3d95fdef5e134055
|
3 |
+
size 493443
|
tokenizer_config.json
ADDED
@@ -0,0 +1,1210 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"add_bos_token": true,
|
3 |
+
"add_eos_token": false,
|
4 |
+
"add_prefix_space": null,
|
5 |
+
"added_tokens_decoder": {
|
6 |
+
"0": {
|
7 |
+
"content": "<unk>",
|
8 |
+
"lstrip": false,
|
9 |
+
"normalized": false,
|
10 |
+
"rstrip": false,
|
11 |
+
"single_word": false,
|
12 |
+
"special": true
|
13 |
+
},
|
14 |
+
"1": {
|
15 |
+
"content": "<s>",
|
16 |
+
"lstrip": false,
|
17 |
+
"normalized": false,
|
18 |
+
"rstrip": false,
|
19 |
+
"single_word": false,
|
20 |
+
"special": true
|
21 |
+
},
|
22 |
+
"2": {
|
23 |
+
"content": "</s>",
|
24 |
+
"lstrip": false,
|
25 |
+
"normalized": false,
|
26 |
+
"rstrip": false,
|
27 |
+
"single_word": false,
|
28 |
+
"special": true
|
29 |
+
},
|
30 |
+
"32000": {
|
31 |
+
"content": "<|START_OF_TURN_TOKEN|>",
|
32 |
+
"lstrip": false,
|
33 |
+
"normalized": false,
|
34 |
+
"rstrip": false,
|
35 |
+
"single_word": false,
|
36 |
+
"special": true
|
37 |
+
},
|
38 |
+
"32001": {
|
39 |
+
"content": "<|END_OF_TURN_TOKEN|>",
|
40 |
+
"lstrip": false,
|
41 |
+
"normalized": false,
|
42 |
+
"rstrip": false,
|
43 |
+
"single_word": false,
|
44 |
+
"special": true
|
45 |
+
},
|
46 |
+
"32002": {
|
47 |
+
"content": "<|USER_TOKEN|>",
|
48 |
+
"lstrip": false,
|
49 |
+
"normalized": false,
|
50 |
+
"rstrip": false,
|
51 |
+
"single_word": false,
|
52 |
+
"special": true
|
53 |
+
},
|
54 |
+
"32003": {
|
55 |
+
"content": "<|CHATBOT_TOKEN|>",
|
56 |
+
"lstrip": false,
|
57 |
+
"normalized": false,
|
58 |
+
"rstrip": false,
|
59 |
+
"single_word": false,
|
60 |
+
"special": true
|
61 |
+
},
|
62 |
+
"32004": {
|
63 |
+
"content": "<|SYSTEM_TOKEN|>",
|
64 |
+
"lstrip": false,
|
65 |
+
"normalized": false,
|
66 |
+
"rstrip": false,
|
67 |
+
"single_word": false,
|
68 |
+
"special": true
|
69 |
+
},
|
70 |
+
"32005": {
|
71 |
+
"content": "<|EXTRA_5_TOKEN|>",
|
72 |
+
"lstrip": false,
|
73 |
+
"normalized": false,
|
74 |
+
"rstrip": false,
|
75 |
+
"single_word": false,
|
76 |
+
"special": true
|
77 |
+
},
|
78 |
+
"32006": {
|
79 |
+
"content": "<|EXTRA_6_TOKEN|>",
|
80 |
+
"lstrip": false,
|
81 |
+
"normalized": false,
|
82 |
+
"rstrip": false,
|
83 |
+
"single_word": false,
|
84 |
+
"special": true
|
85 |
+
},
|
86 |
+
"32007": {
|
87 |
+
"content": "<|EXTRA_7_TOKEN|>",
|
88 |
+
"lstrip": false,
|
89 |
+
"normalized": false,
|
90 |
+
"rstrip": false,
|
91 |
+
"single_word": false,
|
92 |
+
"special": true
|
93 |
+
},
|
94 |
+
"32008": {
|
95 |
+
"content": "<|EXTRA_8_TOKEN|>",
|
96 |
+
"lstrip": false,
|
97 |
+
"normalized": false,
|
98 |
+
"rstrip": false,
|
99 |
+
"single_word": false,
|
100 |
+
"special": true
|
101 |
+
},
|
102 |
+
"32009": {
|
103 |
+
"content": "<|EXTRA_9_TOKEN|>",
|
104 |
+
"lstrip": false,
|
105 |
+
"normalized": false,
|
106 |
+
"rstrip": false,
|
107 |
+
"single_word": false,
|
108 |
+
"special": true
|
109 |
+
},
|
110 |
+
"32010": {
|
111 |
+
"content": "<|EXTRA_10_TOKEN|>",
|
112 |
+
"lstrip": false,
|
113 |
+
"normalized": false,
|
114 |
+
"rstrip": false,
|
115 |
+
"single_word": false,
|
116 |
+
"special": true
|
117 |
+
},
|
118 |
+
"32011": {
|
119 |
+
"content": "<|EXTRA_11_TOKEN|>",
|
120 |
+
"lstrip": false,
|
121 |
+
"normalized": false,
|
122 |
+
"rstrip": false,
|
123 |
+
"single_word": false,
|
124 |
+
"special": true
|
125 |
+
},
|
126 |
+
"32012": {
|
127 |
+
"content": "<|EXTRA_12_TOKEN|>",
|
128 |
+
"lstrip": false,
|
129 |
+
"normalized": false,
|
130 |
+
"rstrip": false,
|
131 |
+
"single_word": false,
|
132 |
+
"special": true
|
133 |
+
},
|
134 |
+
"32013": {
|
135 |
+
"content": "<|EXTRA_13_TOKEN|>",
|
136 |
+
"lstrip": false,
|
137 |
+
"normalized": false,
|
138 |
+
"rstrip": false,
|
139 |
+
"single_word": false,
|
140 |
+
"special": true
|
141 |
+
},
|
142 |
+
"32014": {
|
143 |
+
"content": "<|EXTRA_14_TOKEN|>",
|
144 |
+
"lstrip": false,
|
145 |
+
"normalized": false,
|
146 |
+
"rstrip": false,
|
147 |
+
"single_word": false,
|
148 |
+
"special": true
|
149 |
+
},
|
150 |
+
"32015": {
|
151 |
+
"content": "<|EXTRA_15_TOKEN|>",
|
152 |
+
"lstrip": false,
|
153 |
+
"normalized": false,
|
154 |
+
"rstrip": false,
|
155 |
+
"single_word": false,
|
156 |
+
"special": true
|
157 |
+
},
|
158 |
+
"32016": {
|
159 |
+
"content": "<|EXTRA_16_TOKEN|>",
|
160 |
+
"lstrip": false,
|
161 |
+
"normalized": false,
|
162 |
+
"rstrip": false,
|
163 |
+
"single_word": false,
|
164 |
+
"special": true
|
165 |
+
},
|
166 |
+
"32017": {
|
167 |
+
"content": "<|EXTRA_17_TOKEN|>",
|
168 |
+
"lstrip": false,
|
169 |
+
"normalized": false,
|
170 |
+
"rstrip": false,
|
171 |
+
"single_word": false,
|
172 |
+
"special": true
|
173 |
+
},
|
174 |
+
"32018": {
|
175 |
+
"content": "<|EXTRA_18_TOKEN|>",
|
176 |
+
"lstrip": false,
|
177 |
+
"normalized": false,
|
178 |
+
"rstrip": false,
|
179 |
+
"single_word": false,
|
180 |
+
"special": true
|
181 |
+
},
|
182 |
+
"32019": {
|
183 |
+
"content": "<|EXTRA_19_TOKEN|>",
|
184 |
+
"lstrip": false,
|
185 |
+
"normalized": false,
|
186 |
+
"rstrip": false,
|
187 |
+
"single_word": false,
|
188 |
+
"special": true
|
189 |
+
},
|
190 |
+
"32020": {
|
191 |
+
"content": "<|EXTRA_20_TOKEN|>",
|
192 |
+
"lstrip": false,
|
193 |
+
"normalized": false,
|
194 |
+
"rstrip": false,
|
195 |
+
"single_word": false,
|
196 |
+
"special": true
|
197 |
+
},
|
198 |
+
"32021": {
|
199 |
+
"content": "<|EXTRA_21_TOKEN|>",
|
200 |
+
"lstrip": false,
|
201 |
+
"normalized": false,
|
202 |
+
"rstrip": false,
|
203 |
+
"single_word": false,
|
204 |
+
"special": true
|
205 |
+
},
|
206 |
+
"32022": {
|
207 |
+
"content": "<|EXTRA_22_TOKEN|>",
|
208 |
+
"lstrip": false,
|
209 |
+
"normalized": false,
|
210 |
+
"rstrip": false,
|
211 |
+
"single_word": false,
|
212 |
+
"special": true
|
213 |
+
},
|
214 |
+
"32023": {
|
215 |
+
"content": "<|EXTRA_23_TOKEN|>",
|
216 |
+
"lstrip": false,
|
217 |
+
"normalized": false,
|
218 |
+
"rstrip": false,
|
219 |
+
"single_word": false,
|
220 |
+
"special": true
|
221 |
+
},
|
222 |
+
"32024": {
|
223 |
+
"content": "<|EXTRA_24_TOKEN|>",
|
224 |
+
"lstrip": false,
|
225 |
+
"normalized": false,
|
226 |
+
"rstrip": false,
|
227 |
+
"single_word": false,
|
228 |
+
"special": true
|
229 |
+
},
|
230 |
+
"32025": {
|
231 |
+
"content": "<|EXTRA_25_TOKEN|>",
|
232 |
+
"lstrip": false,
|
233 |
+
"normalized": false,
|
234 |
+
"rstrip": false,
|
235 |
+
"single_word": false,
|
236 |
+
"special": true
|
237 |
+
},
|
238 |
+
"32026": {
|
239 |
+
"content": "<|EXTRA_26_TOKEN|>",
|
240 |
+
"lstrip": false,
|
241 |
+
"normalized": false,
|
242 |
+
"rstrip": false,
|
243 |
+
"single_word": false,
|
244 |
+
"special": true
|
245 |
+
},
|
246 |
+
"32027": {
|
247 |
+
"content": "<|EXTRA_27_TOKEN|>",
|
248 |
+
"lstrip": false,
|
249 |
+
"normalized": false,
|
250 |
+
"rstrip": false,
|
251 |
+
"single_word": false,
|
252 |
+
"special": true
|
253 |
+
},
|
254 |
+
"32028": {
|
255 |
+
"content": "<|EXTRA_28_TOKEN|>",
|
256 |
+
"lstrip": false,
|
257 |
+
"normalized": false,
|
258 |
+
"rstrip": false,
|
259 |
+
"single_word": false,
|
260 |
+
"special": true
|
261 |
+
},
|
262 |
+
"32029": {
|
263 |
+
"content": "<|EXTRA_29_TOKEN|>",
|
264 |
+
"lstrip": false,
|
265 |
+
"normalized": false,
|
266 |
+
"rstrip": false,
|
267 |
+
"single_word": false,
|
268 |
+
"special": true
|
269 |
+
},
|
270 |
+
"32030": {
|
271 |
+
"content": "<|EXTRA_30_TOKEN|>",
|
272 |
+
"lstrip": false,
|
273 |
+
"normalized": false,
|
274 |
+
"rstrip": false,
|
275 |
+
"single_word": false,
|
276 |
+
"special": true
|
277 |
+
},
|
278 |
+
"32031": {
|
279 |
+
"content": "<|EXTRA_31_TOKEN|>",
|
280 |
+
"lstrip": false,
|
281 |
+
"normalized": false,
|
282 |
+
"rstrip": false,
|
283 |
+
"single_word": false,
|
284 |
+
"special": true
|
285 |
+
},
|
286 |
+
"32032": {
|
287 |
+
"content": "<|EXTRA_32_TOKEN|>",
|
288 |
+
"lstrip": false,
|
289 |
+
"normalized": false,
|
290 |
+
"rstrip": false,
|
291 |
+
"single_word": false,
|
292 |
+
"special": true
|
293 |
+
},
|
294 |
+
"32033": {
|
295 |
+
"content": "<|EXTRA_33_TOKEN|>",
|
296 |
+
"lstrip": false,
|
297 |
+
"normalized": false,
|
298 |
+
"rstrip": false,
|
299 |
+
"single_word": false,
|
300 |
+
"special": true
|
301 |
+
},
|
302 |
+
"32034": {
|
303 |
+
"content": "<|EXTRA_34_TOKEN|>",
|
304 |
+
"lstrip": false,
|
305 |
+
"normalized": false,
|
306 |
+
"rstrip": false,
|
307 |
+
"single_word": false,
|
308 |
+
"special": true
|
309 |
+
},
|
310 |
+
"32035": {
|
311 |
+
"content": "<|EXTRA_35_TOKEN|>",
|
312 |
+
"lstrip": false,
|
313 |
+
"normalized": false,
|
314 |
+
"rstrip": false,
|
315 |
+
"single_word": false,
|
316 |
+
"special": true
|
317 |
+
},
|
318 |
+
"32036": {
|
319 |
+
"content": "<|EXTRA_36_TOKEN|>",
|
320 |
+
"lstrip": false,
|
321 |
+
"normalized": false,
|
322 |
+
"rstrip": false,
|
323 |
+
"single_word": false,
|
324 |
+
"special": true
|
325 |
+
},
|
326 |
+
"32037": {
|
327 |
+
"content": "<|EXTRA_37_TOKEN|>",
|
328 |
+
"lstrip": false,
|
329 |
+
"normalized": false,
|
330 |
+
"rstrip": false,
|
331 |
+
"single_word": false,
|
332 |
+
"special": true
|
333 |
+
},
|
334 |
+
"32038": {
|
335 |
+
"content": "<|EXTRA_38_TOKEN|>",
|
336 |
+
"lstrip": false,
|
337 |
+
"normalized": false,
|
338 |
+
"rstrip": false,
|
339 |
+
"single_word": false,
|
340 |
+
"special": true
|
341 |
+
},
|
342 |
+
"32039": {
|
343 |
+
"content": "<|EXTRA_39_TOKEN|>",
|
344 |
+
"lstrip": false,
|
345 |
+
"normalized": false,
|
346 |
+
"rstrip": false,
|
347 |
+
"single_word": false,
|
348 |
+
"special": true
|
349 |
+
},
|
350 |
+
"32040": {
|
351 |
+
"content": "<|EXTRA_40_TOKEN|>",
|
352 |
+
"lstrip": false,
|
353 |
+
"normalized": false,
|
354 |
+
"rstrip": false,
|
355 |
+
"single_word": false,
|
356 |
+
"special": true
|
357 |
+
},
|
358 |
+
"32041": {
|
359 |
+
"content": "<|EXTRA_41_TOKEN|>",
|
360 |
+
"lstrip": false,
|
361 |
+
"normalized": false,
|
362 |
+
"rstrip": false,
|
363 |
+
"single_word": false,
|
364 |
+
"special": true
|
365 |
+
},
|
366 |
+
"32042": {
|
367 |
+
"content": "<|EXTRA_42_TOKEN|>",
|
368 |
+
"lstrip": false,
|
369 |
+
"normalized": false,
|
370 |
+
"rstrip": false,
|
371 |
+
"single_word": false,
|
372 |
+
"special": true
|
373 |
+
},
|
374 |
+
"32043": {
|
375 |
+
"content": "<|EXTRA_43_TOKEN|>",
|
376 |
+
"lstrip": false,
|
377 |
+
"normalized": false,
|
378 |
+
"rstrip": false,
|
379 |
+
"single_word": false,
|
380 |
+
"special": true
|
381 |
+
},
|
382 |
+
"32044": {
|
383 |
+
"content": "<|EXTRA_44_TOKEN|>",
|
384 |
+
"lstrip": false,
|
385 |
+
"normalized": false,
|
386 |
+
"rstrip": false,
|
387 |
+
"single_word": false,
|
388 |
+
"special": true
|
389 |
+
},
|
390 |
+
"32045": {
|
391 |
+
"content": "<|EXTRA_45_TOKEN|>",
|
392 |
+
"lstrip": false,
|
393 |
+
"normalized": false,
|
394 |
+
"rstrip": false,
|
395 |
+
"single_word": false,
|
396 |
+
"special": true
|
397 |
+
},
|
398 |
+
"32046": {
|
399 |
+
"content": "<|EXTRA_46_TOKEN|>",
|
400 |
+
"lstrip": false,
|
401 |
+
"normalized": false,
|
402 |
+
"rstrip": false,
|
403 |
+
"single_word": false,
|
404 |
+
"special": true
|
405 |
+
},
|
406 |
+
"32047": {
|
407 |
+
"content": "<|EXTRA_47_TOKEN|>",
|
408 |
+
"lstrip": false,
|
409 |
+
"normalized": false,
|
410 |
+
"rstrip": false,
|
411 |
+
"single_word": false,
|
412 |
+
"special": true
|
413 |
+
},
|
414 |
+
"32048": {
|
415 |
+
"content": "<|EXTRA_48_TOKEN|>",
|
416 |
+
"lstrip": false,
|
417 |
+
"normalized": false,
|
418 |
+
"rstrip": false,
|
419 |
+
"single_word": false,
|
420 |
+
"special": true
|
421 |
+
},
|
422 |
+
"32049": {
|
423 |
+
"content": "<|EXTRA_49_TOKEN|>",
|
424 |
+
"lstrip": false,
|
425 |
+
"normalized": false,
|
426 |
+
"rstrip": false,
|
427 |
+
"single_word": false,
|
428 |
+
"special": true
|
429 |
+
},
|
430 |
+
"32050": {
|
431 |
+
"content": "<|EXTRA_50_TOKEN|>",
|
432 |
+
"lstrip": false,
|
433 |
+
"normalized": false,
|
434 |
+
"rstrip": false,
|
435 |
+
"single_word": false,
|
436 |
+
"special": true
|
437 |
+
},
|
438 |
+
"32051": {
|
439 |
+
"content": "<|EXTRA_51_TOKEN|>",
|
440 |
+
"lstrip": false,
|
441 |
+
"normalized": false,
|
442 |
+
"rstrip": false,
|
443 |
+
"single_word": false,
|
444 |
+
"special": true
|
445 |
+
},
|
446 |
+
"32052": {
|
447 |
+
"content": "<|EXTRA_52_TOKEN|>",
|
448 |
+
"lstrip": false,
|
449 |
+
"normalized": false,
|
450 |
+
"rstrip": false,
|
451 |
+
"single_word": false,
|
452 |
+
"special": true
|
453 |
+
},
|
454 |
+
"32053": {
|
455 |
+
"content": "<|EXTRA_53_TOKEN|>",
|
456 |
+
"lstrip": false,
|
457 |
+
"normalized": false,
|
458 |
+
"rstrip": false,
|
459 |
+
"single_word": false,
|
460 |
+
"special": true
|
461 |
+
},
|
462 |
+
"32054": {
|
463 |
+
"content": "<|EXTRA_54_TOKEN|>",
|
464 |
+
"lstrip": false,
|
465 |
+
"normalized": false,
|
466 |
+
"rstrip": false,
|
467 |
+
"single_word": false,
|
468 |
+
"special": true
|
469 |
+
},
|
470 |
+
"32055": {
|
471 |
+
"content": "<|EXTRA_55_TOKEN|>",
|
472 |
+
"lstrip": false,
|
473 |
+
"normalized": false,
|
474 |
+
"rstrip": false,
|
475 |
+
"single_word": false,
|
476 |
+
"special": true
|
477 |
+
},
|
478 |
+
"32056": {
|
479 |
+
"content": "<|EXTRA_56_TOKEN|>",
|
480 |
+
"lstrip": false,
|
481 |
+
"normalized": false,
|
482 |
+
"rstrip": false,
|
483 |
+
"single_word": false,
|
484 |
+
"special": true
|
485 |
+
},
|
486 |
+
"32057": {
|
487 |
+
"content": "<|EXTRA_57_TOKEN|>",
|
488 |
+
"lstrip": false,
|
489 |
+
"normalized": false,
|
490 |
+
"rstrip": false,
|
491 |
+
"single_word": false,
|
492 |
+
"special": true
|
493 |
+
},
|
494 |
+
"32058": {
|
495 |
+
"content": "<|EXTRA_58_TOKEN|>",
|
496 |
+
"lstrip": false,
|
497 |
+
"normalized": false,
|
498 |
+
"rstrip": false,
|
499 |
+
"single_word": false,
|
500 |
+
"special": true
|
501 |
+
},
|
502 |
+
"32059": {
|
503 |
+
"content": "<|EXTRA_59_TOKEN|>",
|
504 |
+
"lstrip": false,
|
505 |
+
"normalized": false,
|
506 |
+
"rstrip": false,
|
507 |
+
"single_word": false,
|
508 |
+
"special": true
|
509 |
+
},
|
510 |
+
"32060": {
|
511 |
+
"content": "<|EXTRA_60_TOKEN|>",
|
512 |
+
"lstrip": false,
|
513 |
+
"normalized": false,
|
514 |
+
"rstrip": false,
|
515 |
+
"single_word": false,
|
516 |
+
"special": true
|
517 |
+
},
|
518 |
+
"32061": {
|
519 |
+
"content": "<|EXTRA_61_TOKEN|>",
|
520 |
+
"lstrip": false,
|
521 |
+
"normalized": false,
|
522 |
+
"rstrip": false,
|
523 |
+
"single_word": false,
|
524 |
+
"special": true
|
525 |
+
},
|
526 |
+
"32062": {
|
527 |
+
"content": "<|EXTRA_62_TOKEN|>",
|
528 |
+
"lstrip": false,
|
529 |
+
"normalized": false,
|
530 |
+
"rstrip": false,
|
531 |
+
"single_word": false,
|
532 |
+
"special": true
|
533 |
+
},
|
534 |
+
"32063": {
|
535 |
+
"content": "<|EXTRA_63_TOKEN|>",
|
536 |
+
"lstrip": false,
|
537 |
+
"normalized": false,
|
538 |
+
"rstrip": false,
|
539 |
+
"single_word": false,
|
540 |
+
"special": true
|
541 |
+
},
|
542 |
+
"32064": {
|
543 |
+
"content": "<|EXTRA_64_TOKEN|>",
|
544 |
+
"lstrip": false,
|
545 |
+
"normalized": false,
|
546 |
+
"rstrip": false,
|
547 |
+
"single_word": false,
|
548 |
+
"special": true
|
549 |
+
},
|
550 |
+
"32065": {
|
551 |
+
"content": "<|EXTRA_65_TOKEN|>",
|
552 |
+
"lstrip": false,
|
553 |
+
"normalized": false,
|
554 |
+
"rstrip": false,
|
555 |
+
"single_word": false,
|
556 |
+
"special": true
|
557 |
+
},
|
558 |
+
"32066": {
|
559 |
+
"content": "<|EXTRA_66_TOKEN|>",
|
560 |
+
"lstrip": false,
|
561 |
+
"normalized": false,
|
562 |
+
"rstrip": false,
|
563 |
+
"single_word": false,
|
564 |
+
"special": true
|
565 |
+
},
|
566 |
+
"32067": {
|
567 |
+
"content": "<|EXTRA_67_TOKEN|>",
|
568 |
+
"lstrip": false,
|
569 |
+
"normalized": false,
|
570 |
+
"rstrip": false,
|
571 |
+
"single_word": false,
|
572 |
+
"special": true
|
573 |
+
},
|
574 |
+
"32068": {
|
575 |
+
"content": "<|EXTRA_68_TOKEN|>",
|
576 |
+
"lstrip": false,
|
577 |
+
"normalized": false,
|
578 |
+
"rstrip": false,
|
579 |
+
"single_word": false,
|
580 |
+
"special": true
|
581 |
+
},
|
582 |
+
"32069": {
|
583 |
+
"content": "<|EXTRA_69_TOKEN|>",
|
584 |
+
"lstrip": false,
|
585 |
+
"normalized": false,
|
586 |
+
"rstrip": false,
|
587 |
+
"single_word": false,
|
588 |
+
"special": true
|
589 |
+
},
|
590 |
+
"32070": {
|
591 |
+
"content": "<|EXTRA_70_TOKEN|>",
|
592 |
+
"lstrip": false,
|
593 |
+
"normalized": false,
|
594 |
+
"rstrip": false,
|
595 |
+
"single_word": false,
|
596 |
+
"special": true
|
597 |
+
},
|
598 |
+
"32071": {
|
599 |
+
"content": "<|EXTRA_71_TOKEN|>",
|
600 |
+
"lstrip": false,
|
601 |
+
"normalized": false,
|
602 |
+
"rstrip": false,
|
603 |
+
"single_word": false,
|
604 |
+
"special": true
|
605 |
+
},
|
606 |
+
"32072": {
|
607 |
+
"content": "<|EXTRA_72_TOKEN|>",
|
608 |
+
"lstrip": false,
|
609 |
+
"normalized": false,
|
610 |
+
"rstrip": false,
|
611 |
+
"single_word": false,
|
612 |
+
"special": true
|
613 |
+
},
|
614 |
+
"32073": {
|
615 |
+
"content": "<|EXTRA_73_TOKEN|>",
|
616 |
+
"lstrip": false,
|
617 |
+
"normalized": false,
|
618 |
+
"rstrip": false,
|
619 |
+
"single_word": false,
|
620 |
+
"special": true
|
621 |
+
},
|
622 |
+
"32074": {
|
623 |
+
"content": "<|EXTRA_74_TOKEN|>",
|
624 |
+
"lstrip": false,
|
625 |
+
"normalized": false,
|
626 |
+
"rstrip": false,
|
627 |
+
"single_word": false,
|
628 |
+
"special": true
|
629 |
+
},
|
630 |
+
"32075": {
|
631 |
+
"content": "<|EXTRA_75_TOKEN|>",
|
632 |
+
"lstrip": false,
|
633 |
+
"normalized": false,
|
634 |
+
"rstrip": false,
|
635 |
+
"single_word": false,
|
636 |
+
"special": true
|
637 |
+
},
|
638 |
+
"32076": {
|
639 |
+
"content": "<|EXTRA_76_TOKEN|>",
|
640 |
+
"lstrip": false,
|
641 |
+
"normalized": false,
|
642 |
+
"rstrip": false,
|
643 |
+
"single_word": false,
|
644 |
+
"special": true
|
645 |
+
},
|
646 |
+
"32077": {
|
647 |
+
"content": "<|EXTRA_77_TOKEN|>",
|
648 |
+
"lstrip": false,
|
649 |
+
"normalized": false,
|
650 |
+
"rstrip": false,
|
651 |
+
"single_word": false,
|
652 |
+
"special": true
|
653 |
+
},
|
654 |
+
"32078": {
|
655 |
+
"content": "<|EXTRA_78_TOKEN|>",
|
656 |
+
"lstrip": false,
|
657 |
+
"normalized": false,
|
658 |
+
"rstrip": false,
|
659 |
+
"single_word": false,
|
660 |
+
"special": true
|
661 |
+
},
|
662 |
+
"32079": {
|
663 |
+
"content": "<|EXTRA_79_TOKEN|>",
|
664 |
+
"lstrip": false,
|
665 |
+
"normalized": false,
|
666 |
+
"rstrip": false,
|
667 |
+
"single_word": false,
|
668 |
+
"special": true
|
669 |
+
},
|
670 |
+
"32080": {
|
671 |
+
"content": "<|EXTRA_80_TOKEN|>",
|
672 |
+
"lstrip": false,
|
673 |
+
"normalized": false,
|
674 |
+
"rstrip": false,
|
675 |
+
"single_word": false,
|
676 |
+
"special": true
|
677 |
+
},
|
678 |
+
"32081": {
|
679 |
+
"content": "<|EXTRA_81_TOKEN|>",
|
680 |
+
"lstrip": false,
|
681 |
+
"normalized": false,
|
682 |
+
"rstrip": false,
|
683 |
+
"single_word": false,
|
684 |
+
"special": true
|
685 |
+
},
|
686 |
+
"32082": {
|
687 |
+
"content": "<|EXTRA_82_TOKEN|>",
|
688 |
+
"lstrip": false,
|
689 |
+
"normalized": false,
|
690 |
+
"rstrip": false,
|
691 |
+
"single_word": false,
|
692 |
+
"special": true
|
693 |
+
},
|
694 |
+
"32083": {
|
695 |
+
"content": "<|EXTRA_83_TOKEN|>",
|
696 |
+
"lstrip": false,
|
697 |
+
"normalized": false,
|
698 |
+
"rstrip": false,
|
699 |
+
"single_word": false,
|
700 |
+
"special": true
|
701 |
+
},
|
702 |
+
"32084": {
|
703 |
+
"content": "<|EXTRA_84_TOKEN|>",
|
704 |
+
"lstrip": false,
|
705 |
+
"normalized": false,
|
706 |
+
"rstrip": false,
|
707 |
+
"single_word": false,
|
708 |
+
"special": true
|
709 |
+
},
|
710 |
+
"32085": {
|
711 |
+
"content": "<|EXTRA_85_TOKEN|>",
|
712 |
+
"lstrip": false,
|
713 |
+
"normalized": false,
|
714 |
+
"rstrip": false,
|
715 |
+
"single_word": false,
|
716 |
+
"special": true
|
717 |
+
},
|
718 |
+
"32086": {
|
719 |
+
"content": "<|EXTRA_86_TOKEN|>",
|
720 |
+
"lstrip": false,
|
721 |
+
"normalized": false,
|
722 |
+
"rstrip": false,
|
723 |
+
"single_word": false,
|
724 |
+
"special": true
|
725 |
+
},
|
726 |
+
"32087": {
|
727 |
+
"content": "<|EXTRA_87_TOKEN|>",
|
728 |
+
"lstrip": false,
|
729 |
+
"normalized": false,
|
730 |
+
"rstrip": false,
|
731 |
+
"single_word": false,
|
732 |
+
"special": true
|
733 |
+
},
|
734 |
+
"32088": {
|
735 |
+
"content": "<|EXTRA_88_TOKEN|>",
|
736 |
+
"lstrip": false,
|
737 |
+
"normalized": false,
|
738 |
+
"rstrip": false,
|
739 |
+
"single_word": false,
|
740 |
+
"special": true
|
741 |
+
},
|
742 |
+
"32089": {
|
743 |
+
"content": "<|EXTRA_89_TOKEN|>",
|
744 |
+
"lstrip": false,
|
745 |
+
"normalized": false,
|
746 |
+
"rstrip": false,
|
747 |
+
"single_word": false,
|
748 |
+
"special": true
|
749 |
+
},
|
750 |
+
"32090": {
|
751 |
+
"content": "<|EXTRA_90_TOKEN|>",
|
752 |
+
"lstrip": false,
|
753 |
+
"normalized": false,
|
754 |
+
"rstrip": false,
|
755 |
+
"single_word": false,
|
756 |
+
"special": true
|
757 |
+
},
|
758 |
+
"32091": {
|
759 |
+
"content": "<|EXTRA_91_TOKEN|>",
|
760 |
+
"lstrip": false,
|
761 |
+
"normalized": false,
|
762 |
+
"rstrip": false,
|
763 |
+
"single_word": false,
|
764 |
+
"special": true
|
765 |
+
},
|
766 |
+
"32092": {
|
767 |
+
"content": "<|EXTRA_92_TOKEN|>",
|
768 |
+
"lstrip": false,
|
769 |
+
"normalized": false,
|
770 |
+
"rstrip": false,
|
771 |
+
"single_word": false,
|
772 |
+
"special": true
|
773 |
+
},
|
774 |
+
"32093": {
|
775 |
+
"content": "<|EXTRA_93_TOKEN|>",
|
776 |
+
"lstrip": false,
|
777 |
+
"normalized": false,
|
778 |
+
"rstrip": false,
|
779 |
+
"single_word": false,
|
780 |
+
"special": true
|
781 |
+
},
|
782 |
+
"32094": {
|
783 |
+
"content": "<|EXTRA_94_TOKEN|>",
|
784 |
+
"lstrip": false,
|
785 |
+
"normalized": false,
|
786 |
+
"rstrip": false,
|
787 |
+
"single_word": false,
|
788 |
+
"special": true
|
789 |
+
},
|
790 |
+
"32095": {
|
791 |
+
"content": "<|EXTRA_95_TOKEN|>",
|
792 |
+
"lstrip": false,
|
793 |
+
"normalized": false,
|
794 |
+
"rstrip": false,
|
795 |
+
"single_word": false,
|
796 |
+
"special": true
|
797 |
+
},
|
798 |
+
"32096": {
|
799 |
+
"content": "<|EXTRA_96_TOKEN|>",
|
800 |
+
"lstrip": false,
|
801 |
+
"normalized": false,
|
802 |
+
"rstrip": false,
|
803 |
+
"single_word": false,
|
804 |
+
"special": true
|
805 |
+
},
|
806 |
+
"32097": {
|
807 |
+
"content": "<|EXTRA_97_TOKEN|>",
|
808 |
+
"lstrip": false,
|
809 |
+
"normalized": false,
|
810 |
+
"rstrip": false,
|
811 |
+
"single_word": false,
|
812 |
+
"special": true
|
813 |
+
},
|
814 |
+
"32098": {
|
815 |
+
"content": "<|EXTRA_98_TOKEN|>",
|
816 |
+
"lstrip": false,
|
817 |
+
"normalized": false,
|
818 |
+
"rstrip": false,
|
819 |
+
"single_word": false,
|
820 |
+
"special": true
|
821 |
+
},
|
822 |
+
"32099": {
|
823 |
+
"content": "<|EXTRA_99_TOKEN|>",
|
824 |
+
"lstrip": false,
|
825 |
+
"normalized": false,
|
826 |
+
"rstrip": false,
|
827 |
+
"single_word": false,
|
828 |
+
"special": true
|
829 |
+
},
|
830 |
+
"32100": {
|
831 |
+
"content": "<|EXTRA_100_TOKEN|>",
|
832 |
+
"lstrip": false,
|
833 |
+
"normalized": false,
|
834 |
+
"rstrip": false,
|
835 |
+
"single_word": false,
|
836 |
+
"special": true
|
837 |
+
},
|
838 |
+
"32101": {
|
839 |
+
"content": "<|EXTRA_101_TOKEN|>",
|
840 |
+
"lstrip": false,
|
841 |
+
"normalized": false,
|
842 |
+
"rstrip": false,
|
843 |
+
"single_word": false,
|
844 |
+
"special": true
|
845 |
+
},
|
846 |
+
"32102": {
|
847 |
+
"content": "<|EXTRA_102_TOKEN|>",
|
848 |
+
"lstrip": false,
|
849 |
+
"normalized": false,
|
850 |
+
"rstrip": false,
|
851 |
+
"single_word": false,
|
852 |
+
"special": true
|
853 |
+
},
|
854 |
+
"32103": {
|
855 |
+
"content": "<|EXTRA_103_TOKEN|>",
|
856 |
+
"lstrip": false,
|
857 |
+
"normalized": false,
|
858 |
+
"rstrip": false,
|
859 |
+
"single_word": false,
|
860 |
+
"special": true
|
861 |
+
},
|
862 |
+
"32104": {
|
863 |
+
"content": "<|EXTRA_104_TOKEN|>",
|
864 |
+
"lstrip": false,
|
865 |
+
"normalized": false,
|
866 |
+
"rstrip": false,
|
867 |
+
"single_word": false,
|
868 |
+
"special": true
|
869 |
+
},
|
870 |
+
"32105": {
|
871 |
+
"content": "<|EXTRA_105_TOKEN|>",
|
872 |
+
"lstrip": false,
|
873 |
+
"normalized": false,
|
874 |
+
"rstrip": false,
|
875 |
+
"single_word": false,
|
876 |
+
"special": true
|
877 |
+
},
|
878 |
+
"32106": {
|
879 |
+
"content": "<|EXTRA_106_TOKEN|>",
|
880 |
+
"lstrip": false,
|
881 |
+
"normalized": false,
|
882 |
+
"rstrip": false,
|
883 |
+
"single_word": false,
|
884 |
+
"special": true
|
885 |
+
},
|
886 |
+
"32107": {
|
887 |
+
"content": "<|EXTRA_107_TOKEN|>",
|
888 |
+
"lstrip": false,
|
889 |
+
"normalized": false,
|
890 |
+
"rstrip": false,
|
891 |
+
"single_word": false,
|
892 |
+
"special": true
|
893 |
+
},
|
894 |
+
"32108": {
|
895 |
+
"content": "<|EXTRA_108_TOKEN|>",
|
896 |
+
"lstrip": false,
|
897 |
+
"normalized": false,
|
898 |
+
"rstrip": false,
|
899 |
+
"single_word": false,
|
900 |
+
"special": true
|
901 |
+
},
|
902 |
+
"32109": {
|
903 |
+
"content": "<|EXTRA_109_TOKEN|>",
|
904 |
+
"lstrip": false,
|
905 |
+
"normalized": false,
|
906 |
+
"rstrip": false,
|
907 |
+
"single_word": false,
|
908 |
+
"special": true
|
909 |
+
},
|
910 |
+
"32110": {
|
911 |
+
"content": "<|EXTRA_110_TOKEN|>",
|
912 |
+
"lstrip": false,
|
913 |
+
"normalized": false,
|
914 |
+
"rstrip": false,
|
915 |
+
"single_word": false,
|
916 |
+
"special": true
|
917 |
+
},
|
918 |
+
"32111": {
|
919 |
+
"content": "<|EXTRA_111_TOKEN|>",
|
920 |
+
"lstrip": false,
|
921 |
+
"normalized": false,
|
922 |
+
"rstrip": false,
|
923 |
+
"single_word": false,
|
924 |
+
"special": true
|
925 |
+
},
|
926 |
+
"32112": {
|
927 |
+
"content": "<|EXTRA_112_TOKEN|>",
|
928 |
+
"lstrip": false,
|
929 |
+
"normalized": false,
|
930 |
+
"rstrip": false,
|
931 |
+
"single_word": false,
|
932 |
+
"special": true
|
933 |
+
},
|
934 |
+
"32113": {
|
935 |
+
"content": "<|EXTRA_113_TOKEN|>",
|
936 |
+
"lstrip": false,
|
937 |
+
"normalized": false,
|
938 |
+
"rstrip": false,
|
939 |
+
"single_word": false,
|
940 |
+
"special": true
|
941 |
+
},
|
942 |
+
"32114": {
|
943 |
+
"content": "<|EXTRA_114_TOKEN|>",
|
944 |
+
"lstrip": false,
|
945 |
+
"normalized": false,
|
946 |
+
"rstrip": false,
|
947 |
+
"single_word": false,
|
948 |
+
"special": true
|
949 |
+
},
|
950 |
+
"32115": {
|
951 |
+
"content": "<|EXTRA_115_TOKEN|>",
|
952 |
+
"lstrip": false,
|
953 |
+
"normalized": false,
|
954 |
+
"rstrip": false,
|
955 |
+
"single_word": false,
|
956 |
+
"special": true
|
957 |
+
},
|
958 |
+
"32116": {
|
959 |
+
"content": "<|EXTRA_116_TOKEN|>",
|
960 |
+
"lstrip": false,
|
961 |
+
"normalized": false,
|
962 |
+
"rstrip": false,
|
963 |
+
"single_word": false,
|
964 |
+
"special": true
|
965 |
+
},
|
966 |
+
"32117": {
|
967 |
+
"content": "<|EXTRA_117_TOKEN|>",
|
968 |
+
"lstrip": false,
|
969 |
+
"normalized": false,
|
970 |
+
"rstrip": false,
|
971 |
+
"single_word": false,
|
972 |
+
"special": true
|
973 |
+
},
|
974 |
+
"32118": {
|
975 |
+
"content": "<|EXTRA_118_TOKEN|>",
|
976 |
+
"lstrip": false,
|
977 |
+
"normalized": false,
|
978 |
+
"rstrip": false,
|
979 |
+
"single_word": false,
|
980 |
+
"special": true
|
981 |
+
},
|
982 |
+
"32119": {
|
983 |
+
"content": "<|EXTRA_119_TOKEN|>",
|
984 |
+
"lstrip": false,
|
985 |
+
"normalized": false,
|
986 |
+
"rstrip": false,
|
987 |
+
"single_word": false,
|
988 |
+
"special": true
|
989 |
+
},
|
990 |
+
"32120": {
|
991 |
+
"content": "<|EXTRA_120_TOKEN|>",
|
992 |
+
"lstrip": false,
|
993 |
+
"normalized": false,
|
994 |
+
"rstrip": false,
|
995 |
+
"single_word": false,
|
996 |
+
"special": true
|
997 |
+
},
|
998 |
+
"32121": {
|
999 |
+
"content": "<|EXTRA_121_TOKEN|>",
|
1000 |
+
"lstrip": false,
|
1001 |
+
"normalized": false,
|
1002 |
+
"rstrip": false,
|
1003 |
+
"single_word": false,
|
1004 |
+
"special": true
|
1005 |
+
},
|
1006 |
+
"32122": {
|
1007 |
+
"content": "<|EXTRA_122_TOKEN|>",
|
1008 |
+
"lstrip": false,
|
1009 |
+
"normalized": false,
|
1010 |
+
"rstrip": false,
|
1011 |
+
"single_word": false,
|
1012 |
+
"special": true
|
1013 |
+
},
|
1014 |
+
"32123": {
|
1015 |
+
"content": "<|EXTRA_123_TOKEN|>",
|
1016 |
+
"lstrip": false,
|
1017 |
+
"normalized": false,
|
1018 |
+
"rstrip": false,
|
1019 |
+
"single_word": false,
|
1020 |
+
"special": true
|
1021 |
+
},
|
1022 |
+
"32124": {
|
1023 |
+
"content": "<|EXTRA_124_TOKEN|>",
|
1024 |
+
"lstrip": false,
|
1025 |
+
"normalized": false,
|
1026 |
+
"rstrip": false,
|
1027 |
+
"single_word": false,
|
1028 |
+
"special": true
|
1029 |
+
},
|
1030 |
+
"32125": {
|
1031 |
+
"content": "<|EXTRA_125_TOKEN|>",
|
1032 |
+
"lstrip": false,
|
1033 |
+
"normalized": false,
|
1034 |
+
"rstrip": false,
|
1035 |
+
"single_word": false,
|
1036 |
+
"special": true
|
1037 |
+
},
|
1038 |
+
"32126": {
|
1039 |
+
"content": "<|EXTRA_126_TOKEN|>",
|
1040 |
+
"lstrip": false,
|
1041 |
+
"normalized": false,
|
1042 |
+
"rstrip": false,
|
1043 |
+
"single_word": false,
|
1044 |
+
"special": true
|
1045 |
+
},
|
1046 |
+
"32127": {
|
1047 |
+
"content": "<|EXTRA_127_TOKEN|>",
|
1048 |
+
"lstrip": false,
|
1049 |
+
"normalized": false,
|
1050 |
+
"rstrip": false,
|
1051 |
+
"single_word": false,
|
1052 |
+
"special": true
|
1053 |
+
}
|
1054 |
+
},
|
1055 |
+
"additional_special_tokens": [
|
1056 |
+
"<|START_OF_TURN_TOKEN|>",
|
1057 |
+
"<|END_OF_TURN_TOKEN|>",
|
1058 |
+
"<|USER_TOKEN|>",
|
1059 |
+
"<|CHATBOT_TOKEN|>",
|
1060 |
+
"<|SYSTEM_TOKEN|>",
|
1061 |
+
"<|EXTRA_5_TOKEN|>",
|
1062 |
+
"<|EXTRA_6_TOKEN|>",
|
1063 |
+
"<|EXTRA_7_TOKEN|>",
|
1064 |
+
"<|EXTRA_8_TOKEN|>",
|
1065 |
+
"<|EXTRA_9_TOKEN|>",
|
1066 |
+
"<|EXTRA_10_TOKEN|>",
|
1067 |
+
"<|EXTRA_11_TOKEN|>",
|
1068 |
+
"<|EXTRA_12_TOKEN|>",
|
1069 |
+
"<|EXTRA_13_TOKEN|>",
|
1070 |
+
"<|EXTRA_14_TOKEN|>",
|
1071 |
+
"<|EXTRA_15_TOKEN|>",
|
1072 |
+
"<|EXTRA_16_TOKEN|>",
|
1073 |
+
"<|EXTRA_17_TOKEN|>",
|
1074 |
+
"<|EXTRA_18_TOKEN|>",
|
1075 |
+
"<|EXTRA_19_TOKEN|>",
|
1076 |
+
"<|EXTRA_20_TOKEN|>",
|
1077 |
+
"<|EXTRA_21_TOKEN|>",
|
1078 |
+
"<|EXTRA_22_TOKEN|>",
|
1079 |
+
"<|EXTRA_23_TOKEN|>",
|
1080 |
+
"<|EXTRA_24_TOKEN|>",
|
1081 |
+
"<|EXTRA_25_TOKEN|>",
|
1082 |
+
"<|EXTRA_26_TOKEN|>",
|
1083 |
+
"<|EXTRA_27_TOKEN|>",
|
1084 |
+
"<|EXTRA_28_TOKEN|>",
|
1085 |
+
"<|EXTRA_29_TOKEN|>",
|
1086 |
+
"<|EXTRA_30_TOKEN|>",
|
1087 |
+
"<|EXTRA_31_TOKEN|>",
|
1088 |
+
"<|EXTRA_32_TOKEN|>",
|
1089 |
+
"<|EXTRA_33_TOKEN|>",
|
1090 |
+
"<|EXTRA_34_TOKEN|>",
|
1091 |
+
"<|EXTRA_35_TOKEN|>",
|
1092 |
+
"<|EXTRA_36_TOKEN|>",
|
1093 |
+
"<|EXTRA_37_TOKEN|>",
|
1094 |
+
"<|EXTRA_38_TOKEN|>",
|
1095 |
+
"<|EXTRA_39_TOKEN|>",
|
1096 |
+
"<|EXTRA_40_TOKEN|>",
|
1097 |
+
"<|EXTRA_41_TOKEN|>",
|
1098 |
+
"<|EXTRA_42_TOKEN|>",
|
1099 |
+
"<|EXTRA_43_TOKEN|>",
|
1100 |
+
"<|EXTRA_44_TOKEN|>",
|
1101 |
+
"<|EXTRA_45_TOKEN|>",
|
1102 |
+
"<|EXTRA_46_TOKEN|>",
|
1103 |
+
"<|EXTRA_47_TOKEN|>",
|
1104 |
+
"<|EXTRA_48_TOKEN|>",
|
1105 |
+
"<|EXTRA_49_TOKEN|>",
|
1106 |
+
"<|EXTRA_50_TOKEN|>",
|
1107 |
+
"<|EXTRA_51_TOKEN|>",
|
1108 |
+
"<|EXTRA_52_TOKEN|>",
|
1109 |
+
"<|EXTRA_53_TOKEN|>",
|
1110 |
+
"<|EXTRA_54_TOKEN|>",
|
1111 |
+
"<|EXTRA_55_TOKEN|>",
|
1112 |
+
"<|EXTRA_56_TOKEN|>",
|
1113 |
+
"<|EXTRA_57_TOKEN|>",
|
1114 |
+
"<|EXTRA_58_TOKEN|>",
|
1115 |
+
"<|EXTRA_59_TOKEN|>",
|
1116 |
+
"<|EXTRA_60_TOKEN|>",
|
1117 |
+
"<|EXTRA_61_TOKEN|>",
|
1118 |
+
"<|EXTRA_62_TOKEN|>",
|
1119 |
+
"<|EXTRA_63_TOKEN|>",
|
1120 |
+
"<|EXTRA_64_TOKEN|>",
|
1121 |
+
"<|EXTRA_65_TOKEN|>",
|
1122 |
+
"<|EXTRA_66_TOKEN|>",
|
1123 |
+
"<|EXTRA_67_TOKEN|>",
|
1124 |
+
"<|EXTRA_68_TOKEN|>",
|
1125 |
+
"<|EXTRA_69_TOKEN|>",
|
1126 |
+
"<|EXTRA_70_TOKEN|>",
|
1127 |
+
"<|EXTRA_71_TOKEN|>",
|
1128 |
+
"<|EXTRA_72_TOKEN|>",
|
1129 |
+
"<|EXTRA_73_TOKEN|>",
|
1130 |
+
"<|EXTRA_74_TOKEN|>",
|
1131 |
+
"<|EXTRA_75_TOKEN|>",
|
1132 |
+
"<|EXTRA_76_TOKEN|>",
|
1133 |
+
"<|EXTRA_77_TOKEN|>",
|
1134 |
+
"<|EXTRA_78_TOKEN|>",
|
1135 |
+
"<|EXTRA_79_TOKEN|>",
|
1136 |
+
"<|EXTRA_80_TOKEN|>",
|
1137 |
+
"<|EXTRA_81_TOKEN|>",
|
1138 |
+
"<|EXTRA_82_TOKEN|>",
|
1139 |
+
"<|EXTRA_83_TOKEN|>",
|
1140 |
+
"<|EXTRA_84_TOKEN|>",
|
1141 |
+
"<|EXTRA_85_TOKEN|>",
|
1142 |
+
"<|EXTRA_86_TOKEN|>",
|
1143 |
+
"<|EXTRA_87_TOKEN|>",
|
1144 |
+
"<|EXTRA_88_TOKEN|>",
|
1145 |
+
"<|EXTRA_89_TOKEN|>",
|
1146 |
+
"<|EXTRA_90_TOKEN|>",
|
1147 |
+
"<|EXTRA_91_TOKEN|>",
|
1148 |
+
"<|EXTRA_92_TOKEN|>",
|
1149 |
+
"<|EXTRA_93_TOKEN|>",
|
1150 |
+
"<|EXTRA_94_TOKEN|>",
|
1151 |
+
"<|EXTRA_95_TOKEN|>",
|
1152 |
+
"<|EXTRA_96_TOKEN|>",
|
1153 |
+
"<|EXTRA_97_TOKEN|>",
|
1154 |
+
"<|EXTRA_98_TOKEN|>",
|
1155 |
+
"<|EXTRA_99_TOKEN|>",
|
1156 |
+
"<|EXTRA_100_TOKEN|>",
|
1157 |
+
"<|EXTRA_101_TOKEN|>",
|
1158 |
+
"<|EXTRA_102_TOKEN|>",
|
1159 |
+
"<|EXTRA_103_TOKEN|>",
|
1160 |
+
"<|EXTRA_104_TOKEN|>",
|
1161 |
+
"<|EXTRA_105_TOKEN|>",
|
1162 |
+
"<|EXTRA_106_TOKEN|>",
|
1163 |
+
"<|EXTRA_107_TOKEN|>",
|
1164 |
+
"<|EXTRA_108_TOKEN|>",
|
1165 |
+
"<|EXTRA_109_TOKEN|>",
|
1166 |
+
"<|EXTRA_110_TOKEN|>",
|
1167 |
+
"<|EXTRA_111_TOKEN|>",
|
1168 |
+
"<|EXTRA_112_TOKEN|>",
|
1169 |
+
"<|EXTRA_113_TOKEN|>",
|
1170 |
+
"<|EXTRA_114_TOKEN|>",
|
1171 |
+
"<|EXTRA_115_TOKEN|>",
|
1172 |
+
"<|EXTRA_116_TOKEN|>",
|
1173 |
+
"<|EXTRA_117_TOKEN|>",
|
1174 |
+
"<|EXTRA_118_TOKEN|>",
|
1175 |
+
"<|EXTRA_119_TOKEN|>",
|
1176 |
+
"<|EXTRA_120_TOKEN|>",
|
1177 |
+
"<|EXTRA_121_TOKEN|>",
|
1178 |
+
"<|EXTRA_122_TOKEN|>",
|
1179 |
+
"<|EXTRA_123_TOKEN|>",
|
1180 |
+
"<|EXTRA_124_TOKEN|>",
|
1181 |
+
"<|EXTRA_125_TOKEN|>",
|
1182 |
+
"<|EXTRA_126_TOKEN|>",
|
1183 |
+
"<|EXTRA_127_TOKEN|>"
|
1184 |
+
],
|
1185 |
+
"bos_token": "<s>",
|
1186 |
+
"chat_template": [
|
1187 |
+
{
|
1188 |
+
"name": "default",
|
1189 |
+
"template": "{{ bos_token }}{% if messages[0]['role'] == 'system' %}{% set loop_messages = messages[1:] %}{% set system_message = messages[0]['content'] %}{% else %}{% set loop_messages = messages %}{% set system_message = false %}{% endif %}{% if system_message != false %}{{ '<|START_OF_TURN_TOKEN|><|SYSTEM_TOKEN|>' + system_message + '<|END_OF_TURN_TOKEN|>' }}{% endif %}{% for message in loop_messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% set content = message['content'] %}{% if message['role'] == 'user' %}{{ '<|START_OF_TURN_TOKEN|><|USER_TOKEN|>' + content.strip() + '<|END_OF_TURN_TOKEN|>' }}{% elif message['role'] == 'assistant' %}{% set helpfulness = message['helpfulness']|string or '4' %}{% set correctness = message['correctness']|string or '4' %}{% set coherence = message['coherence']|string or '4' %}{% set complexity = message['complexity']|string or '4' %}{% set verbosity = message['verbosity']|string or '4' %}{% set quality = message['quality']|string or '4' %}{% set toxicity = message['toxicity']|string or '0' %}{% set humor = message['humor']|string or '0' %}{% set creativity = message['creativity']|string or '0' %}{{ '<|START_OF_TURN_TOKEN|><|CHATBOT_TOKEN|>' }}{{ '<attributes>helpfulness: ' + helpfulness + ' correctness: ' + correctness + ' coherence: ' + coherence + ' complexity: ' + complexity + ' verbosity: ' + verbosity + ' quality: ' + quality + ' toxicity: ' + toxicity + ' humor: ' + humor + ' creativity: ' + creativity + '</attributes>' }}{{ content.strip() + '<|END_OF_TURN_TOKEN|>' }}{% endif %}{% endfor %}{% if add_generation_prompt %}{% set helpfulness = helpfulness|string or '4' %}{% set correctness = correctness|string or '4' %}{% set coherence = coherence|string or '4' %}{% set complexity = complexity|string or '4' %}{% set verbosity = verbosity|string or '4' %}{% set quality = quality|string or '4' %}{% set toxicity = toxicity|string or '0' %}{% set humor = humor|string or '0' %}{% set creativity = creativity|string or '0' %}{{ '<|START_OF_TURN_TOKEN|><|CHATBOT_TOKEN|>' }}{{ '<attributes>helpfulness: ' + helpfulness + ' correctness: ' + correctness + ' coherence: ' + coherence + ' complexity: ' + complexity + ' verbosity: ' + verbosity + ' quality: ' + quality + ' toxicity: ' + toxicity + ' humor: ' + humor + ' creativity: ' + creativity + '</attributes>' }}{% endif %}"
|
1190 |
+
},
|
1191 |
+
{
|
1192 |
+
"name": "tool_use",
|
1193 |
+
"template": "{{ bos_token }}{% if messages[0]['role'] == 'system' %}{% set loop_messages = messages[1:] %}{% set system_message = messages[0]['content'] %}{% else %}{% set loop_messages = messages %}{% set system_message = '## Task and Context\\nYou help people answer their questions and other requests interactively. You will be asked a very wide array of requests on all kinds of topics. You will be equipped with a wide range of search engines or similar tools to help you, which you use to research your answer. You should focus on serving the user\\'s needs as best you can, which will be wide-ranging.\\n\\n## Style Guide\\nUnless the user asks for a different style of answer, you should answer in full sentences, using proper grammar and spelling.' %}{% endif %}{{ '<|START_OF_TURN_TOKEN|><|SYSTEM_TOKEN|>' }}{{ '# System Instructions' }}{{ '\n## Basic Rules' }}{{ '\nYou are KARAKURI LM, a powerful conversational AI trained by KARAKURI to help people. You are augmented by a number of tools, and your job is to use and consume the output of these tools to best help the user. You will see a conversation history between yourself and a user, ending with an utterance from the user. You will then see a specific instruction instructing you what kind of response to generate. When you answer the user\\'s requests, you cite your sources in your answers, according to those instructions.' }}{{ '\n\n# User Instructions' }}{{ '\n' + system_message }}{{'\n\n## Available Tools\nHere is a list of tools that you have available to you:\n\n'}}{{ '```json\n' }}{{ tools|tojson(indent=2) }}{{ '\n```' }}{{ '<|END_OF_TURN_TOKEN|>'}}{% for message in loop_messages %}{% set content = message['content'] %}{% if message['role'] == 'user' %}{{ '<|START_OF_TURN_TOKEN|><|USER_TOKEN|>' + content.strip() + '<|END_OF_TURN_TOKEN|>' }}{% elif message['role'] == 'system' %}{{ '<|START_OF_TURN_TOKEN|><|SYSTEM_TOKEN|>' + content.strip() + '<|END_OF_TURN_TOKEN|>' }}{% elif message['role'] == 'assistant' %}{% set helpfulness = message['helpfulness']|string or '4' %}{% set correctness = message['correctness']|string or '4' %}{% set coherence = message['coherence']|string or '4' %}{% set complexity = message['complexity']|string or '4' %}{% set verbosity = message['verbosity']|string or '4' %}{% set quality = message['quality']|string or '4' %}{% set toxicity = message['toxicity']|string or '0' %}{% set humor = message['humor']|string or '0' %}{% set creativity = message['creativity']|string or '0' %}{{ '<|START_OF_TURN_TOKEN|><|CHATBOT_TOKEN|>' }}{{ '<attributes>helpfulness: ' + helpfulness + ' correctness: ' + correctness + ' coherence: ' + coherence + ' complexity: ' + complexity + ' verbosity: ' + verbosity + ' quality: ' + quality + ' toxicity: ' + toxicity + ' humor: ' + humor + ' creativity: ' + creativity + '</attributes>' }}{{ content.strip() + '<|END_OF_TURN_TOKEN|>' }}{% endif %}{% endfor %}{{'<|START_OF_TURN_TOKEN|><|SYSTEM_TOKEN|>Write \\'Action:\\' followed by a json-formatted list of actions that you want to perform in order to produce a good response to the user\\'s last input. You can use any of the supplied tools any number of times, but you should aim to execute the minimum number of necessary actions for the input. You should use the `directly-answer` tool if calling the other tools is unnecessary. The list of actions you want to call should be formatted as a list of json objects, for example:\n```json\n[\n {\n \"tool_name\": title of the tool in the specification,\n \"parameters\": a dict of parameters to input into the tool as they are defined in the specs, or {} if it takes no parameters\n }\n]```<|END_OF_TURN_TOKEN|>'}}{% if add_generation_prompt %}{% set helpfulness = helpfulness|string or '4' %}{% set correctness = correctness|string or '4' %}{% set coherence = coherence|string or '4' %}{% set complexity = complexity|string or '4' %}{% set verbosity = verbosity|string or '4' %}{% set quality = quality|string or '4' %}{% set toxicity = toxicity|string or '0' %}{% set humor = humor|string or '0' %}{% set creativity = creativity|string or '0' %}{{ '<|START_OF_TURN_TOKEN|><|CHATBOT_TOKEN|>' }}{{ '<attributes>helpfulness: ' + helpfulness + ' correctness: ' + correctness + ' coherence: ' + coherence + ' complexity: ' + complexity + ' verbosity: ' + verbosity + ' quality: ' + quality + ' toxicity: ' + toxicity + ' humor: ' + humor + ' creativity: ' + creativity + '</attributes>' }}{% endif %}"
|
1194 |
+
},
|
1195 |
+
{
|
1196 |
+
"name": "rag",
|
1197 |
+
"template": "{{ bos_token }}{% if messages[0]['role'] == 'system' %}{% set loop_messages = messages[1:] %}{% set system_message = messages[0]['content'] %}{% else %}{% set loop_messages = messages %}{% set system_message = '## Task and Context\\nYou help people answer their questions and other requests interactively. You will be asked a very wide array of requests on all kinds of topics. You will be equipped with a wide range of search engines or similar tools to help you, which you use to research your answer. You should focus on serving the user\\'s needs as best you can, which will be wide-ranging.\\n\\n## Style Guide\\nUnless the user asks for a different style of answer, you should answer in full sentences, using proper grammar and spelling.' %}{% endif %}{{ '<|START_OF_TURN_TOKEN|><|SYSTEM_TOKEN|>' }}{{ '# System Instructions' }}{{ '\n## Basic Rules' }}{{ '\nYou are KARAKURI LM, a powerful conversational AI trained by KARAKURI to help people. You are augmented by a number of tools, and your job is to use and consume the output of these tools to best help the user. You will see a conversation history between yourself and a user, ending with an utterance from the user. You will then see a specific instruction instructing you what kind of response to generate. When you answer the user\\'s requests, you cite your sources in your answers, according to those instructions.' }}{{ '\n\n# User Instructions' }}{{ '\n' + system_message }}{{ '<|END_OF_TURN_TOKEN|>'}}{% for message in loop_messages %}{% set content = message['content'] %}{% if message['role'] == 'user' %}{{ '<|START_OF_TURN_TOKEN|><|USER_TOKEN|>' + content.strip() + '<|END_OF_TURN_TOKEN|>' }}{% elif message['role'] == 'system' %}{{ '<|START_OF_TURN_TOKEN|><|SYSTEM_TOKEN|>' + content.strip() + '<|END_OF_TURN_TOKEN|>' }}{% elif message['role'] == 'assistant' %}{% set helpfulness = message['helpfulness']|string or '4' %}{% set correctness = message['correctness']|string or '4' %}{% set coherence = message['coherence']|string or '4' %}{% set complexity = message['complexity']|string or '4' %}{% set verbosity = message['verbosity']|string or '4' %}{% set quality = message['quality']|string or '4' %}{% set toxicity = message['toxicity']|string or '0' %}{% set humor = message['humor']|string or '0' %}{% set creativity = message['creativity']|string or '0' %}{{ '<|START_OF_TURN_TOKEN|><|CHATBOT_TOKEN|>' }}{{ '<attributes>helpfulness: ' + helpfulness + ' correctness: ' + correctness + ' coherence: ' + coherence + ' complexity: ' + complexity + ' verbosity: ' + verbosity + ' quality: ' + quality + ' toxicity: ' + toxicity + ' humor: ' + humor + ' creativity: ' + creativity + '</attributes>' }}{{ content.strip() + '<|END_OF_TURN_TOKEN|>' }}{% endif %}{% endfor %}{{ '<|START_OF_TURN_TOKEN|><|SYSTEM_TOKEN|>'}}{{ '<results>' }}{% for document in documents %}{{ '\nDocument: ' }}{{ loop.index0 }}\n{% for key, value in document.items() %}{{ key }}: {{value}}\n{% endfor %}{% endfor %}{{ '</results>'}}{{ '<|END_OF_TURN_TOKEN|><|START_OF_TURN_TOKEN|><|SYSTEM_TOKEN|>' }}{{ 'Write a detailed, high-quality and natural response to the user\\'s last input. Use the retrieved documents to help you.' }}{{ '<|END_OF_TURN_TOKEN|>' }}{% if add_generation_prompt %}{% set helpfulness = helpfulness|string or '4' %}{% set correctness = correctness|string or '4' %}{% set coherence = coherence|string or '4' %}{% set complexity = complexity|string or '4' %}{% set verbosity = verbosity|string or '4' %}{% set quality = quality|string or '4' %}{% set toxicity = toxicity|string or '0' %}{% set humor = humor|string or '0' %}{% set creativity = creativity|string or '0' %}{{ '<|START_OF_TURN_TOKEN|><|CHATBOT_TOKEN|>' }}{{ '<attributes>helpfulness: ' + helpfulness + ' correctness: ' + correctness + ' coherence: ' + coherence + ' complexity: ' + complexity + ' verbosity: ' + verbosity + ' quality: ' + quality + ' toxicity: ' + toxicity + ' humor: ' + humor + ' creativity: ' + creativity + '</attributes>' }}{% endif %}"
|
1198 |
+
}
|
1199 |
+
],
|
1200 |
+
"clean_up_tokenization_spaces": false,
|
1201 |
+
"eos_token": "<|END_OF_TURN_TOKEN|>",
|
1202 |
+
"legacy": true,
|
1203 |
+
"model_max_length": 1000000000000000019884624838656,
|
1204 |
+
"pad_token": null,
|
1205 |
+
"sp_model_kwargs": {},
|
1206 |
+
"spaces_between_special_tokens": false,
|
1207 |
+
"tokenizer_class": "LlamaTokenizer",
|
1208 |
+
"unk_token": "<unk>",
|
1209 |
+
"use_default_system_prompt": false
|
1210 |
+
}
|