Hugging Face's logo

schaye
/
llama-3.2-3b-instruct-mlx-finetuned-bedtimestory1

Text Generation
Transformers
Safetensors
PyTorch
MLX
llama
facebook
meta
llama-3
conversational
text-generation-inference
Inference Endpoints
4-bit precision
Model card Files Community
1
schaye commited on
Commit
9d50bd5
•
1 Parent(s): 50ce33b

823358f540b1490fe4a137d51242e43089c46908b9fad9f435ec0053ad56db15

Browse files
Files changed (8) hide show
  1. .gitattributes +1 -0
  2. README.md +234 -0
  3. config.json +47 -0
  4. model.safetensors +3 -0
  5. model.safetensors.index.json +655 -0
  6. special_tokens_map.json +16 -0
  7. tokenizer.json +3 -0
  8. tokenizer_config.json +2062 -0
.gitattributes CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
33
  *.zip filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
33
  *.zip filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
36
+ tokenizer.json filter=lfs diff=lfs merge=lfs -text
README.md ADDED
@@ -0,0 +1,234 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: meta-llama/Llama-3.2-3B-Instruct
3
+ language:
4
+ - en
5
+ - de
6
+ - fr
7
+ - it
8
+ - pt
9
+ - hi
10
+ - es
11
+ - th
12
+ library_name: transformers
13
+ license: llama3.2
14
+ pipeline_tag: text-generation
15
+ tags:
16
+ - facebook
17
+ - meta
18
+ - pytorch
19
+ - llama
20
+ - llama-3
21
+ - mlx
22
+ extra_gated_prompt: "### LLAMA 3.2 COMMUNITY LICENSE AGREEMENT\n\nLlama 3.2 Version\
23
+ \ Release Date: September 25, 2024\n\n“Agreement” means the terms and conditions\
24
+ \ for use, reproduction, distribution and modification of the Llama Materials set\
25
+ \ forth herein.\n\n“Documentation” means the specifications, manuals and documentation\
26
+ \ accompanying Llama 3.2 distributed by Meta at https://llama.meta.com/doc/overview.\n\
27
+ \n“Licensee” or “you” means you, or your employer or any other person or entity\
28
+ \ (if you are entering into this Agreement on such person or entity’s behalf),\
29
+ \ of the age required under applicable laws, rules or regulations to provide legal\
30
+ \ consent and that has legal authority to bind your employer or such other person\
31
+ \ or entity if you are entering in this Agreement on their behalf.\n\n“Llama 3.2”\
32
+ \ means the foundational large language models and software and algorithms, including\
33
+ \ machine-learning model code, trained model weights, inference-enabling code, training-enabling\
34
+ \ code, fine-tuning enabling code and other elements of the foregoing distributed\
35
+ \ by Meta at https://www.llama.com/llama-downloads.\n\n“Llama Materials” means,\
36
+ \ collectively, Meta’s proprietary Llama 3.2 and Documentation (and any portion\
37
+ \ thereof) made available under this Agreement.\n\n“Meta” or “we” means Meta Platforms\
38
+ \ Ireland Limited (if you are located in or, if you are an entity, your principal\
39
+ \ place of business is in the EEA or Switzerland) and Meta Platforms, Inc. (if\
40
+ \ you are located outside of the EEA or Switzerland). \n\nBy clicking “I Accept”\
41
+ \ below or by using or distributing any portion or element of the Llama Materials,\
42
+ \ you agree to be bound by this Agreement.\n\n1. License Rights and Redistribution.\n\
43
+ a. Grant of Rights. You are granted a non-exclusive, worldwide, non-transferable\
44
+ \ and royalty-free limited license under Meta’s intellectual property or other rights\
45
+ \ owned by Meta embodied in the Llama Materials to use, reproduce, distribute,\
46
+ \ copy, create derivative works of, and make modifications to the Llama Materials.\
47
+ \ \nb. Redistribution and Use. \ni. If you distribute or make available the Llama\
48
+ \ Materials (or any derivative works thereof), or a product or service (including\
49
+ \ another AI model) that contains any of them, you shall (A) provide a copy of this\
50
+ \ Agreement with any such Llama Materials; and (B) prominently display “Built with\
51
+ \ Llama” on a related website, user interface, blogpost, about page, or product\
52
+ \ documentation. If you use the Llama Materials or any outputs or results of the\
53
+ \ Llama Materials to create, train, fine tune, or otherwise improve an AI model,\
54
+ \ which is distributed or made available, you shall also include “Llama” at the\
55
+ \ beginning of any such AI model name.\nii. If you receive Llama Materials, or any\
56
+ \ derivative works thereof, from a Licensee as part of an integrated end user product,\
57
+ \ then Section 2 of this Agreement will not apply to you. \niii. You must retain\
58
+ \ in all copies of the Llama Materials that you distribute the following attribution\
59
+ \ notice within a “Notice” text file distributed as a part of such copies: “Llama\
60
+ \ 3.2 is licensed under the Llama 3.2 Community License, Copyright © Meta Platforms,\
61
+ \ Inc. All Rights Reserved.”\niv. Your use of the Llama Materials must comply with\
62
+ \ applicable laws and regulations (including trade compliance laws and regulations)\
63
+ \ and adhere to the Acceptable Use Policy for the Llama Materials (available at\
64
+ \ https://www.llama.com/llama3_2/use-policy), which is hereby incorporated by reference\
65
+ \ into this Agreement.\n \n2. Additional Commercial Terms. If, on the Llama 3.2\
66
+ \ version release date, the monthly active users of the products or services made\
67
+ \ available by or for Licensee, or Licensee’s affiliates, is greater than 700 million\
68
+ \ monthly active users in the preceding calendar month, you must request a license\
69
+ \ from Meta, which Meta may grant to you in its sole discretion, and you are not\
70
+ \ authorized to exercise any of the rights under this Agreement unless or until\
71
+ \ Meta otherwise expressly grants you such rights.\n3. Disclaimer of Warranty. UNLESS\
72
+ \ REQUIRED BY APPLICABLE LAW, THE LLAMA MATERIALS AND ANY OUTPUT AND RESULTS THEREFROM\
73
+ \ ARE PROVIDED ON AN “AS IS” BASIS, WITHOUT WARRANTIES OF ANY KIND, AND META DISCLAIMS\
74
+ \ ALL WARRANTIES OF ANY KIND, BOTH EXPRESS AND IMPLIED, INCLUDING, WITHOUT LIMITATION,\
75
+ \ ANY WARRANTIES OF TITLE, NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A PARTICULAR\
76
+ \ PURPOSE. YOU ARE SOLELY RESPONSIBLE FOR DETERMINING THE APPROPRIATENESS OF USING\
77
+ \ OR REDISTRIBUTING THE LLAMA MATERIALS AND ASSUME ANY RISKS ASSOCIATED WITH YOUR\
78
+ \ USE OF THE LLAMA MATERIALS AND ANY OUTPUT AND RESULTS.\n4. Limitation of Liability.\
79
+ \ IN NO EVENT WILL META OR ITS AFFILIATES BE LIABLE UNDER ANY THEORY OF LIABILITY,\
80
+ \ WHETHER IN CONTRACT, TORT, NEGLIGENCE, PRODUCTS LIABILITY, OR OTHERWISE, ARISING\
81
+ \ OUT OF THIS AGREEMENT, FOR ANY LOST PROFITS OR ANY INDIRECT, SPECIAL, CONSEQUENTIAL,\
82
+ \ INCIDENTAL, EXEMPLARY OR PUNITIVE DAMAGES, EVEN IF META OR ITS AFFILIATES HAVE\
83
+ \ BEEN ADVISED OF THE POSSIBILITY OF ANY OF THE FOREGOING.\n5. Intellectual Property.\n\
84
+ a. No trademark licenses are granted under this Agreement, and in connection with\
85
+ \ the Llama Materials, neither Meta nor Licensee may use any name or mark owned\
86
+ \ by or associated with the other or any of its affiliates, except as required\
87
+ \ for reasonable and customary use in describing and redistributing the Llama Materials\
88
+ \ or as set forth in this Section 5(a). Meta hereby grants you a license to use\
89
+ \ “Llama” (the “Mark”) solely as required to comply with the last sentence of Section\
90
+ \ 1.b.i. You will comply with Meta’s brand guidelines (currently accessible at\
91
+ \ https://about.meta.com/brand/resources/meta/company-brand/). All goodwill arising\
92
+ \ out of your use of the Mark will inure to the benefit of Meta.\nb. Subject to\
93
+ \ Meta’s ownership of Llama Materials and derivatives made by or for Meta, with\
94
+ \ respect to any derivative works and modifications of the Llama Materials that\
95
+ \ are made by you, as between you and Meta, you are and will be the owner of such\
96
+ \ derivative works and modifications.\nc. If you institute litigation or other proceedings\
97
+ \ against Meta or any entity (including a cross-claim or counterclaim in a lawsuit)\
98
+ \ alleging that the Llama Materials or Llama 3.2 outputs or results, or any portion\
99
+ \ of any of the foregoing, constitutes infringement of intellectual property or\
100
+ \ other rights owned or licensable by you, then any licenses granted to you under\
101
+ \ this Agreement shall terminate as of the date such litigation or claim is filed\
102
+ \ or instituted. You will indemnify and hold harmless Meta from and against any\
103
+ \ claim by any third party arising out of or related to your use or distribution\
104
+ \ of the Llama Materials.\n6. Term and Termination. The term of this Agreement will\
105
+ \ commence upon your acceptance of this Agreement or access to the Llama Materials\
106
+ \ and will continue in full force and effect until terminated in accordance with\
107
+ \ the terms and conditions herein. Meta may terminate this Agreement if you are\
108
+ \ in breach of any term or condition of this Agreement. Upon termination of this\
109
+ \ Agreement, you shall delete and cease use of the Llama Materials. Sections 3,\
110
+ \ 4 and 7 shall survive the termination of this Agreement. \n7. Governing Law and\
111
+ \ Jurisdiction. This Agreement will be governed and construed under the laws of\
112
+ \ the State of California without regard to choice of law principles, and the UN\
113
+ \ Convention on Contracts for the International Sale of Goods does not apply to\
114
+ \ this Agreement. The courts of California shall have exclusive jurisdiction of\
115
+ \ any dispute arising out of this Agreement. \n### Llama 3.2 Acceptable Use Policy\n\
116
+ Meta is committed to promoting safe and fair use of its tools and features, including\
117
+ \ Llama 3.2. If you access or use Llama 3.2, you agree to this Acceptable Use Policy\
118
+ \ (“**Policy**”). The most recent copy of this policy can be found at [https://www.llama.com/llama3_2/use-policy](https://www.llama.com/llama3_2/use-policy).\n\
119
+ #### Prohibited Uses\nWe want everyone to use Llama 3.2 safely and responsibly.\
120
+ \ You agree you will not use, or allow others to use, Llama 3.2 to:\n1. Violate\
121
+ \ the law or others’ rights, including to:\n 1. Engage in, promote, generate,\
122
+ \ contribute to, encourage, plan, incite, or further illegal or unlawful activity\
123
+ \ or content, such as:\n 1. Violence or terrorism\n 2. Exploitation\
124
+ \ or harm to children, including the solicitation, creation, acquisition, or dissemination\
125
+ \ of child exploitative content or failure to report Child Sexual Abuse Material\n\
126
+ \ 3. Human trafficking, exploitation, and sexual violence\n 4. The\
127
+ \ illegal distribution of information or materials to minors, including obscene\
128
+ \ materials, or failure to employ legally required age-gating in connection with\
129
+ \ such information or materials.\n 5. Sexual solicitation\n 6. Any\
130
+ \ other criminal activity\n 1. Engage in, promote, incite, or facilitate the\
131
+ \ harassment, abuse, threatening, or bullying of individuals or groups of individuals\n\
132
+ \ 2. Engage in, promote, incite, or facilitate discrimination or other unlawful\
133
+ \ or harmful conduct in the provision of employment, employment benefits, credit,\
134
+ \ housing, other economic benefits, or other essential goods and services\n 3.\
135
+ \ Engage in the unauthorized or unlicensed practice of any profession including,\
136
+ \ but not limited to, financial, legal, medical/health, or related professional\
137
+ \ practices\n 4. Collect, process, disclose, generate, or infer private or sensitive\
138
+ \ information about individuals, including information about individuals’ identity,\
139
+ \ health, or demographic information, unless you have obtained the right to do so\
140
+ \ in accordance with applicable law\n 5. Engage in or facilitate any action or\
141
+ \ generate any content that infringes, misappropriates, or otherwise violates any\
142
+ \ third-party rights, including the outputs or results of any products or services\
143
+ \ using the Llama Materials\n 6. Create, generate, or facilitate the creation\
144
+ \ of malicious code, malware, computer viruses or do anything else that could disable,\
145
+ \ overburden, interfere with or impair the proper working, integrity, operation\
146
+ \ or appearance of a website or computer system\n 7. Engage in any action, or\
147
+ \ facilitate any action, to intentionally circumvent or remove usage restrictions\
148
+ \ or other safety measures, or to enable functionality disabled by Meta \n2. Engage\
149
+ \ in, promote, incite, facilitate, or assist in the planning or development of activities\
150
+ \ that present a risk of death or bodily harm to individuals, including use of Llama\
151
+ \ 3.2 related to the following:\n 8. Military, warfare, nuclear industries or\
152
+ \ applications, espionage, use for materials or activities that are subject to the\
153
+ \ International Traffic Arms Regulations (ITAR) maintained by the United States\
154
+ \ Department of State or to the U.S. Biological Weapons Anti-Terrorism Act of 1989\
155
+ \ or the Chemical Weapons Convention Implementation Act of 1997\n 9. Guns and\
156
+ \ illegal weapons (including weapon development)\n 10. Illegal drugs and regulated/controlled\
157
+ \ substances\n 11. Operation of critical infrastructure, transportation technologies,\
158
+ \ or heavy machinery\n 12. Self-harm or harm to others, including suicide, cutting,\
159
+ \ and eating disorders\n 13. Any content intended to incite or promote violence,\
160
+ \ abuse, or any infliction of bodily harm to an individual\n3. Intentionally deceive\
161
+ \ or mislead others, including use of Llama 3.2 related to the following:\n 14.\
162
+ \ Generating, promoting, or furthering fraud or the creation or promotion of disinformation\n\
163
+ \ 15. Generating, promoting, or furthering defamatory content, including the\
164
+ \ creation of defamatory statements, images, or other content\n 16. Generating,\
165
+ \ promoting, or further distributing spam\n 17. Impersonating another individual\
166
+ \ without consent, authorization, or legal right\n 18. Representing that the\
167
+ \ use of Llama 3.2 or outputs are human-generated\n 19. Generating or facilitating\
168
+ \ false online engagement, including fake reviews and other means of fake online\
169
+ \ engagement \n4. Fail to appropriately disclose to end users any known dangers\
170
+ \ of your AI system 5. Interact with third party tools, models, or software designed\
171
+ \ to generate unlawful content or engage in unlawful or harmful conduct and/or represent\
172
+ \ that the outputs of such tools, models, or software are associated with Meta or\
173
+ \ Llama 3.2\n\nWith respect to any multimodal models included in Llama 3.2, the\
174
+ \ rights granted under Section 1(a) of the Llama 3.2 Community License Agreement\
175
+ \ are not being granted to you if you are an individual domiciled in, or a company\
176
+ \ with a principal place of business in, the European Union. This restriction does\
177
+ \ not apply to end users of a product or service that incorporates any such multimodal\
178
+ \ models.\n\nPlease report any violation of this Policy, software “bug,” or other\
179
+ \ problems that could lead to a violation of this Policy through one of the following\
180
+ \ means:\n\n* Reporting issues with the model: [https://github.com/meta-llama/llama-models/issues](https://l.workplace.com/l.php?u=https%3A%2F%2Fgithub.com%2Fmeta-llama%2Fllama-models%2Fissues&h=AT0qV8W9BFT6NwihiOHRuKYQM_UnkzN_NmHMy91OT55gkLpgi4kQupHUl0ssR4dQsIQ8n3tfd0vtkobvsEvt1l4Ic6GXI2EeuHV8N08OG2WnbAmm0FL4ObkazC6G_256vN0lN9DsykCvCqGZ)\n\
181
+ * Reporting risky content generated by the model: [developers.facebook.com/llama_output_feedback](http://developers.facebook.com/llama_output_feedback)\n\
182
+ * Reporting bugs and security concerns: [facebook.com/whitehat/info](http://facebook.com/whitehat/info)\n\
183
+ * Reporting violations of the Acceptable Use Policy or unlicensed uses of Llama\
184
+ \ 3.2: LlamaUseReport@meta.com"
185
+ extra_gated_fields:
186
+ First Name: text
187
+ Last Name: text
188
+ Date of birth: date_picker
189
+ Country: country
190
+ Affiliation: text
191
+ Job title:
192
+ type: select
193
+ options:
194
+ - Student
195
+ - Research Graduate
196
+ - AI researcher
197
+ - AI developer/engineer
198
+ - Reporter
199
+ - Other
200
+ geo: ip_location
201
+ ? By clicking Submit below I accept the terms of the license and acknowledge that
202
+ the information I provide will be collected stored processed and shared in accordance
203
+ with the Meta Privacy Policy
204
+ : checkbox
205
+ extra_gated_description: The information you provide will be collected, stored, processed
206
+ and shared in accordance with the [Meta Privacy Policy](https://www.facebook.com/privacy/policy/).
207
+ extra_gated_button_content: Submit
208
+ ---
209
+
210
+ # schaye/llama-3.2-3b-instruct-mlx-finetuned-bedtimestory1
211
+
212
+ The Model [schaye/llama-3.2-3b-instruct-mlx-finetuned-bedtimestory1](https://huggingface.co/schaye/llama-3.2-3b-instruct-mlx-finetuned-bedtimestory1) was converted to MLX format from [meta-llama/Llama-3.2-3B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-3B-Instruct) using mlx-lm version **0.19.0**.
213
+
214
+ ## Use with mlx
215
+
216
+ ```bash
217
+ pip install mlx-lm
218
+ ```
219
+
220
+ ```python
221
+ from mlx_lm import load, generate
222
+
223
+ model, tokenizer = load("schaye/llama-3.2-3b-instruct-mlx-finetuned-bedtimestory1")
224
+
225
+ prompt="hello"
226
+
227
+ if hasattr(tokenizer, "apply_chat_template") and tokenizer.chat_template is not None:
228
+ messages = [{"role": "user", "content": prompt}]
229
+ prompt = tokenizer.apply_chat_template(
230
+ messages, tokenize=False, add_generation_prompt=True
231
+ )
232
+
233
+ response = generate(model, tokenizer, prompt=prompt, verbose=True)
234
+ ```
config.json ADDED
@@ -0,0 +1,47 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architectures": [
3
+ "LlamaForCausalLM"
4
+ ],
5
+ "attention_bias": false,
6
+ "attention_dropout": 0.0,
7
+ "bos_token_id": 128000,
8
+ "eos_token_id": [
9
+ 128001,
10
+ 128008,
11
+ 128009
12
+ ],
13
+ "head_dim": 128,
14
+ "hidden_act": "silu",
15
+ "hidden_size": 3072,
16
+ "initializer_range": 0.02,
17
+ "intermediate_size": 8192,
18
+ "max_position_embeddings": 131072,
19
+ "mlp_bias": false,
20
+ "model_type": "llama",
21
+ "num_attention_heads": 24,
22
+ "num_hidden_layers": 28,
23
+ "num_key_value_heads": 8,
24
+ "pretraining_tp": 1,
25
+ "quantization": {
26
+ "group_size": 64,
27
+ "bits": 4
28
+ },
29
+ "quantization_config": {
30
+ "group_size": 64,
31
+ "bits": 4
32
+ },
33
+ "rms_norm_eps": 1e-05,
34
+ "rope_scaling": {
35
+ "factor": 32.0,
36
+ "high_freq_factor": 4.0,
37
+ "low_freq_factor": 1.0,
38
+ "original_max_position_embeddings": 8192,
39
+ "rope_type": "llama3"
40
+ },
41
+ "rope_theta": 500000.0,
42
+ "tie_word_embeddings": true,
43
+ "torch_dtype": "bfloat16",
44
+ "transformers_version": "4.45.0.dev0",
45
+ "use_cache": true,
46
+ "vocab_size": 128256
47
+ }
model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4a880fda5d15b41510a9232285162a4fcd7279988e414d9dc7100e1f64ef0699
3
+ size 1807496278
model.safetensors.index.json ADDED
@@ -0,0 +1,655 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metadata": {
3
+ "total_size": 1807423488
4
+ },
5
+ "weight_map": {
6
+ "model.embed_tokens.biases": "model.safetensors",
7
+ "model.embed_tokens.scales": "model.safetensors",
8
+ "model.embed_tokens.weight": "model.safetensors",
9
+ "model.layers.0.input_layernorm.weight": "model.safetensors",
10
+ "model.layers.0.mlp.down_proj.biases": "model.safetensors",
11
+ "model.layers.0.mlp.down_proj.scales": "model.safetensors",
12
+ "model.layers.0.mlp.down_proj.weight": "model.safetensors",
13
+ "model.layers.0.mlp.gate_proj.biases": "model.safetensors",
14
+ "model.layers.0.mlp.gate_proj.scales": "model.safetensors",
15
+ "model.layers.0.mlp.gate_proj.weight": "model.safetensors",
16
+ "model.layers.0.mlp.up_proj.biases": "model.safetensors",
17
+ "model.layers.0.mlp.up_proj.scales": "model.safetensors",
18
+ "model.layers.0.mlp.up_proj.weight": "model.safetensors",
19
+ "model.layers.0.post_attention_layernorm.weight": "model.safetensors",
20
+ "model.layers.0.self_attn.k_proj.biases": "model.safetensors",
21
+ "model.layers.0.self_attn.k_proj.scales": "model.safetensors",
22
+ "model.layers.0.self_attn.k_proj.weight": "model.safetensors",
23
+ "model.layers.0.self_attn.o_proj.biases": "model.safetensors",
24
+ "model.layers.0.self_attn.o_proj.scales": "model.safetensors",
25
+ "model.layers.0.self_attn.o_proj.weight": "model.safetensors",
26
+ "model.layers.0.self_attn.q_proj.biases": "model.safetensors",
27
+ "model.layers.0.self_attn.q_proj.scales": "model.safetensors",
28
+ "model.layers.0.self_attn.q_proj.weight": "model.safetensors",
29
+ "model.layers.0.self_attn.v_proj.biases": "model.safetensors",
30
+ "model.layers.0.self_attn.v_proj.scales": "model.safetensors",
31
+ "model.layers.0.self_attn.v_proj.weight": "model.safetensors",
32
+ "model.layers.1.input_layernorm.weight": "model.safetensors",
33
+ "model.layers.1.mlp.down_proj.biases": "model.safetensors",
34
+ "model.layers.1.mlp.down_proj.scales": "model.safetensors",
35
+ "model.layers.1.mlp.down_proj.weight": "model.safetensors",
36
+ "model.layers.1.mlp.gate_proj.biases": "model.safetensors",
37
+ "model.layers.1.mlp.gate_proj.scales": "model.safetensors",
38
+ "model.layers.1.mlp.gate_proj.weight": "model.safetensors",
39
+ "model.layers.1.mlp.up_proj.biases": "model.safetensors",
40
+ "model.layers.1.mlp.up_proj.scales": "model.safetensors",
41
+ "model.layers.1.mlp.up_proj.weight": "model.safetensors",
42
+ "model.layers.1.post_attention_layernorm.weight": "model.safetensors",
43
+ "model.layers.1.self_attn.k_proj.biases": "model.safetensors",
44
+ "model.layers.1.self_attn.k_proj.scales": "model.safetensors",
45
+ "model.layers.1.self_attn.k_proj.weight": "model.safetensors",
46
+ "model.layers.1.self_attn.o_proj.biases": "model.safetensors",
47
+ "model.layers.1.self_attn.o_proj.scales": "model.safetensors",
48
+ "model.layers.1.self_attn.o_proj.weight": "model.safetensors",
49
+ "model.layers.1.self_attn.q_proj.biases": "model.safetensors",
50
+ "model.layers.1.self_attn.q_proj.scales": "model.safetensors",
51
+ "model.layers.1.self_attn.q_proj.weight": "model.safetensors",
52
+ "model.layers.1.self_attn.v_proj.biases": "model.safetensors",
53
+ "model.layers.1.self_attn.v_proj.scales": "model.safetensors",
54
+ "model.layers.1.self_attn.v_proj.weight": "model.safetensors",
55
+ "model.layers.10.input_layernorm.weight": "model.safetensors",
56
+ "model.layers.10.mlp.down_proj.biases": "model.safetensors",
57
+ "model.layers.10.mlp.down_proj.scales": "model.safetensors",
58
+ "model.layers.10.mlp.down_proj.weight": "model.safetensors",
59
+ "model.layers.10.mlp.gate_proj.biases": "model.safetensors",
60
+ "model.layers.10.mlp.gate_proj.scales": "model.safetensors",
61
+ "model.layers.10.mlp.gate_proj.weight": "model.safetensors",
62
+ "model.layers.10.mlp.up_proj.biases": "model.safetensors",
63
+ "model.layers.10.mlp.up_proj.scales": "model.safetensors",
64
+ "model.layers.10.mlp.up_proj.weight": "model.safetensors",
65
+ "model.layers.10.post_attention_layernorm.weight": "model.safetensors",
66
+ "model.layers.10.self_attn.k_proj.biases": "model.safetensors",
67
+ "model.layers.10.self_attn.k_proj.scales": "model.safetensors",
68
+ "model.layers.10.self_attn.k_proj.weight": "model.safetensors",
69
+ "model.layers.10.self_attn.o_proj.biases": "model.safetensors",
70
+ "model.layers.10.self_attn.o_proj.scales": "model.safetensors",
71
+ "model.layers.10.self_attn.o_proj.weight": "model.safetensors",
72
+ "model.layers.10.self_attn.q_proj.biases": "model.safetensors",
73
+ "model.layers.10.self_attn.q_proj.scales": "model.safetensors",
74
+ "model.layers.10.self_attn.q_proj.weight": "model.safetensors",
75
+ "model.layers.10.self_attn.v_proj.biases": "model.safetensors",
76
+ "model.layers.10.self_attn.v_proj.scales": "model.safetensors",
77
+ "model.layers.10.self_attn.v_proj.weight": "model.safetensors",
78
+ "model.layers.11.input_layernorm.weight": "model.safetensors",
79
+ "model.layers.11.mlp.down_proj.biases": "model.safetensors",
80
+ "model.layers.11.mlp.down_proj.scales": "model.safetensors",
81
+ "model.layers.11.mlp.down_proj.weight": "model.safetensors",
82
+ "model.layers.11.mlp.gate_proj.biases": "model.safetensors",
83
+ "model.layers.11.mlp.gate_proj.scales": "model.safetensors",
84
+ "model.layers.11.mlp.gate_proj.weight": "model.safetensors",
85
+ "model.layers.11.mlp.up_proj.biases": "model.safetensors",
86
+ "model.layers.11.mlp.up_proj.scales": "model.safetensors",
87
+ "model.layers.11.mlp.up_proj.weight": "model.safetensors",
88
+ "model.layers.11.post_attention_layernorm.weight": "model.safetensors",
89
+ "model.layers.11.self_attn.k_proj.biases": "model.safetensors",
90
+ "model.layers.11.self_attn.k_proj.scales": "model.safetensors",
91
+ "model.layers.11.self_attn.k_proj.weight": "model.safetensors",
92
+ "model.layers.11.self_attn.o_proj.biases": "model.safetensors",
93
+ "model.layers.11.self_attn.o_proj.scales": "model.safetensors",
94
+ "model.layers.11.self_attn.o_proj.weight": "model.safetensors",
95
+ "model.layers.11.self_attn.q_proj.biases": "model.safetensors",
96
+ "model.layers.11.self_attn.q_proj.scales": "model.safetensors",
97
+ "model.layers.11.self_attn.q_proj.weight": "model.safetensors",
98
+ "model.layers.11.self_attn.v_proj.biases": "model.safetensors",
99
+ "model.layers.11.self_attn.v_proj.scales": "model.safetensors",
100
+ "model.layers.11.self_attn.v_proj.weight": "model.safetensors",
101
+ "model.layers.12.input_layernorm.weight": "model.safetensors",
102
+ "model.layers.12.mlp.down_proj.biases": "model.safetensors",
103
+ "model.layers.12.mlp.down_proj.scales": "model.safetensors",
104
+ "model.layers.12.mlp.down_proj.weight": "model.safetensors",
105
+ "model.layers.12.mlp.gate_proj.biases": "model.safetensors",
106
+ "model.layers.12.mlp.gate_proj.scales": "model.safetensors",
107
+ "model.layers.12.mlp.gate_proj.weight": "model.safetensors",
108
+ "model.layers.12.mlp.up_proj.biases": "model.safetensors",
109
+ "model.layers.12.mlp.up_proj.scales": "model.safetensors",
110
+ "model.layers.12.mlp.up_proj.weight": "model.safetensors",
111
+ "model.layers.12.post_attention_layernorm.weight": "model.safetensors",
112
+ "model.layers.12.self_attn.k_proj.biases": "model.safetensors",
113
+ "model.layers.12.self_attn.k_proj.scales": "model.safetensors",
114
+ "model.layers.12.self_attn.k_proj.weight": "model.safetensors",
115
+ "model.layers.12.self_attn.o_proj.biases": "model.safetensors",
116
+ "model.layers.12.self_attn.o_proj.scales": "model.safetensors",
117
+ "model.layers.12.self_attn.o_proj.weight": "model.safetensors",
118
+ "model.layers.12.self_attn.q_proj.biases": "model.safetensors",
119
+ "model.layers.12.self_attn.q_proj.scales": "model.safetensors",
120
+ "model.layers.12.self_attn.q_proj.weight": "model.safetensors",
121
+ "model.layers.12.self_attn.v_proj.biases": "model.safetensors",
122
+ "model.layers.12.self_attn.v_proj.scales": "model.safetensors",
123
+ "model.layers.12.self_attn.v_proj.weight": "model.safetensors",
124
+ "model.layers.13.input_layernorm.weight": "model.safetensors",
125
+ "model.layers.13.mlp.down_proj.biases": "model.safetensors",
126
+ "model.layers.13.mlp.down_proj.scales": "model.safetensors",
127
+ "model.layers.13.mlp.down_proj.weight": "model.safetensors",
128
+ "model.layers.13.mlp.gate_proj.biases": "model.safetensors",
129
+ "model.layers.13.mlp.gate_proj.scales": "model.safetensors",
130
+ "model.layers.13.mlp.gate_proj.weight": "model.safetensors",
131
+ "model.layers.13.mlp.up_proj.biases": "model.safetensors",
132
+ "model.layers.13.mlp.up_proj.scales": "model.safetensors",
133
+ "model.layers.13.mlp.up_proj.weight": "model.safetensors",
134
+ "model.layers.13.post_attention_layernorm.weight": "model.safetensors",
135
+ "model.layers.13.self_attn.k_proj.biases": "model.safetensors",
136
+ "model.layers.13.self_attn.k_proj.scales": "model.safetensors",
137
+ "model.layers.13.self_attn.k_proj.weight": "model.safetensors",
138
+ "model.layers.13.self_attn.o_proj.biases": "model.safetensors",
139
+ "model.layers.13.self_attn.o_proj.scales": "model.safetensors",
140
+ "model.layers.13.self_attn.o_proj.weight": "model.safetensors",
141
+ "model.layers.13.self_attn.q_proj.biases": "model.safetensors",
142
+ "model.layers.13.self_attn.q_proj.scales": "model.safetensors",
143
+ "model.layers.13.self_attn.q_proj.weight": "model.safetensors",
144
+ "model.layers.13.self_attn.v_proj.biases": "model.safetensors",
145
+ "model.layers.13.self_attn.v_proj.scales": "model.safetensors",
146
+ "model.layers.13.self_attn.v_proj.weight": "model.safetensors",
147
+ "model.layers.14.input_layernorm.weight": "model.safetensors",
148
+ "model.layers.14.mlp.down_proj.biases": "model.safetensors",
149
+ "model.layers.14.mlp.down_proj.scales": "model.safetensors",
150
+ "model.layers.14.mlp.down_proj.weight": "model.safetensors",
151
+ "model.layers.14.mlp.gate_proj.biases": "model.safetensors",
152
+ "model.layers.14.mlp.gate_proj.scales": "model.safetensors",
153
+ "model.layers.14.mlp.gate_proj.weight": "model.safetensors",
154
+ "model.layers.14.mlp.up_proj.biases": "model.safetensors",
155
+ "model.layers.14.mlp.up_proj.scales": "model.safetensors",
156
+ "model.layers.14.mlp.up_proj.weight": "model.safetensors",
157
+ "model.layers.14.post_attention_layernorm.weight": "model.safetensors",
158
+ "model.layers.14.self_attn.k_proj.biases": "model.safetensors",
159
+ "model.layers.14.self_attn.k_proj.scales": "model.safetensors",
160
+ "model.layers.14.self_attn.k_proj.weight": "model.safetensors",
161
+ "model.layers.14.self_attn.o_proj.biases": "model.safetensors",
162
+ "model.layers.14.self_attn.o_proj.scales": "model.safetensors",
163
+ "model.layers.14.self_attn.o_proj.weight": "model.safetensors",
164
+ "model.layers.14.self_attn.q_proj.biases": "model.safetensors",
165
+ "model.layers.14.self_attn.q_proj.scales": "model.safetensors",
166
+ "model.layers.14.self_attn.q_proj.weight": "model.safetensors",
167
+ "model.layers.14.self_attn.v_proj.biases": "model.safetensors",
168
+ "model.layers.14.self_attn.v_proj.scales": "model.safetensors",
169
+ "model.layers.14.self_attn.v_proj.weight": "model.safetensors",
170
+ "model.layers.15.input_layernorm.weight": "model.safetensors",
171
+ "model.layers.15.mlp.down_proj.biases": "model.safetensors",
172
+ "model.layers.15.mlp.down_proj.scales": "model.safetensors",
173
+ "model.layers.15.mlp.down_proj.weight": "model.safetensors",
174
+ "model.layers.15.mlp.gate_proj.biases": "model.safetensors",
175
+ "model.layers.15.mlp.gate_proj.scales": "model.safetensors",
176
+ "model.layers.15.mlp.gate_proj.weight": "model.safetensors",
177
+ "model.layers.15.mlp.up_proj.biases": "model.safetensors",
178
+ "model.layers.15.mlp.up_proj.scales": "model.safetensors",
179
+ "model.layers.15.mlp.up_proj.weight": "model.safetensors",
180
+ "model.layers.15.post_attention_layernorm.weight": "model.safetensors",
181
+ "model.layers.15.self_attn.k_proj.biases": "model.safetensors",
182
+ "model.layers.15.self_attn.k_proj.scales": "model.safetensors",
183
+ "model.layers.15.self_attn.k_proj.weight": "model.safetensors",
184
+ "model.layers.15.self_attn.o_proj.biases": "model.safetensors",
185
+ "model.layers.15.self_attn.o_proj.scales": "model.safetensors",
186
+ "model.layers.15.self_attn.o_proj.weight": "model.safetensors",
187
+ "model.layers.15.self_attn.q_proj.biases": "model.safetensors",
188
+ "model.layers.15.self_attn.q_proj.scales": "model.safetensors",
189
+ "model.layers.15.self_attn.q_proj.weight": "model.safetensors",
190
+ "model.layers.15.self_attn.v_proj.biases": "model.safetensors",
191
+ "model.layers.15.self_attn.v_proj.scales": "model.safetensors",
192
+ "model.layers.15.self_attn.v_proj.weight": "model.safetensors",
193
+ "model.layers.16.input_layernorm.weight": "model.safetensors",
194
+ "model.layers.16.mlp.down_proj.biases": "model.safetensors",
195
+ "model.layers.16.mlp.down_proj.scales": "model.safetensors",
196
+ "model.layers.16.mlp.down_proj.weight": "model.safetensors",
197
+ "model.layers.16.mlp.gate_proj.biases": "model.safetensors",
198
+ "model.layers.16.mlp.gate_proj.scales": "model.safetensors",
199
+ "model.layers.16.mlp.gate_proj.weight": "model.safetensors",
200
+ "model.layers.16.mlp.up_proj.biases": "model.safetensors",
201
+ "model.layers.16.mlp.up_proj.scales": "model.safetensors",
202
+ "model.layers.16.mlp.up_proj.weight": "model.safetensors",
203
+ "model.layers.16.post_attention_layernorm.weight": "model.safetensors",
204
+ "model.layers.16.self_attn.k_proj.biases": "model.safetensors",
205
+ "model.layers.16.self_attn.k_proj.scales": "model.safetensors",
206
+ "model.layers.16.self_attn.k_proj.weight": "model.safetensors",
207
+ "model.layers.16.self_attn.o_proj.biases": "model.safetensors",
208
+ "model.layers.16.self_attn.o_proj.scales": "model.safetensors",
209
+ "model.layers.16.self_attn.o_proj.weight": "model.safetensors",
210
+ "model.layers.16.self_attn.q_proj.biases": "model.safetensors",
211
+ "model.layers.16.self_attn.q_proj.scales": "model.safetensors",
212
+ "model.layers.16.self_attn.q_proj.weight": "model.safetensors",
213
+ "model.layers.16.self_attn.v_proj.biases": "model.safetensors",
214
+ "model.layers.16.self_attn.v_proj.scales": "model.safetensors",
215
+ "model.layers.16.self_attn.v_proj.weight": "model.safetensors",
216
+ "model.layers.17.input_layernorm.weight": "model.safetensors",
217
+ "model.layers.17.mlp.down_proj.biases": "model.safetensors",
218
+ "model.layers.17.mlp.down_proj.scales": "model.safetensors",
219
+ "model.layers.17.mlp.down_proj.weight": "model.safetensors",
220
+ "model.layers.17.mlp.gate_proj.biases": "model.safetensors",
221
+ "model.layers.17.mlp.gate_proj.scales": "model.safetensors",
222
+ "model.layers.17.mlp.gate_proj.weight": "model.safetensors",
223
+ "model.layers.17.mlp.up_proj.biases": "model.safetensors",
224
+ "model.layers.17.mlp.up_proj.scales": "model.safetensors",
225
+ "model.layers.17.mlp.up_proj.weight": "model.safetensors",
226
+ "model.layers.17.post_attention_layernorm.weight": "model.safetensors",
227
+ "model.layers.17.self_attn.k_proj.biases": "model.safetensors",
228
+ "model.layers.17.self_attn.k_proj.scales": "model.safetensors",
229
+ "model.layers.17.self_attn.k_proj.weight": "model.safetensors",
230
+ "model.layers.17.self_attn.o_proj.biases": "model.safetensors",
231
+ "model.layers.17.self_attn.o_proj.scales": "model.safetensors",
232
+ "model.layers.17.self_attn.o_proj.weight": "model.safetensors",
233
+ "model.layers.17.self_attn.q_proj.biases": "model.safetensors",
234
+ "model.layers.17.self_attn.q_proj.scales": "model.safetensors",
235
+ "model.layers.17.self_attn.q_proj.weight": "model.safetensors",
236
+ "model.layers.17.self_attn.v_proj.biases": "model.safetensors",
237
+ "model.layers.17.self_attn.v_proj.scales": "model.safetensors",
238
+ "model.layers.17.self_attn.v_proj.weight": "model.safetensors",
239
+ "model.layers.18.input_layernorm.weight": "model.safetensors",
240
+ "model.layers.18.mlp.down_proj.biases": "model.safetensors",
241
+ "model.layers.18.mlp.down_proj.scales": "model.safetensors",
242
+ "model.layers.18.mlp.down_proj.weight": "model.safetensors",
243
+ "model.layers.18.mlp.gate_proj.biases": "model.safetensors",
244
+ "model.layers.18.mlp.gate_proj.scales": "model.safetensors",
245
+ "model.layers.18.mlp.gate_proj.weight": "model.safetensors",
246
+ "model.layers.18.mlp.up_proj.biases": "model.safetensors",
247
+ "model.layers.18.mlp.up_proj.scales": "model.safetensors",
248
+ "model.layers.18.mlp.up_proj.weight": "model.safetensors",
249
+ "model.layers.18.post_attention_layernorm.weight": "model.safetensors",
250
+ "model.layers.18.self_attn.k_proj.biases": "model.safetensors",
251
+ "model.layers.18.self_attn.k_proj.scales": "model.safetensors",
252
+ "model.layers.18.self_attn.k_proj.weight": "model.safetensors",
253
+ "model.layers.18.self_attn.o_proj.biases": "model.safetensors",
254
+ "model.layers.18.self_attn.o_proj.scales": "model.safetensors",
255
+ "model.layers.18.self_attn.o_proj.weight": "model.safetensors",
256
+ "model.layers.18.self_attn.q_proj.biases": "model.safetensors",
257
+ "model.layers.18.self_attn.q_proj.scales": "model.safetensors",
258
+ "model.layers.18.self_attn.q_proj.weight": "model.safetensors",
259
+ "model.layers.18.self_attn.v_proj.biases": "model.safetensors",
260
+ "model.layers.18.self_attn.v_proj.scales": "model.safetensors",
261
+ "model.layers.18.self_attn.v_proj.weight": "model.safetensors",
262
+ "model.layers.19.input_layernorm.weight": "model.safetensors",
263
+ "model.layers.19.mlp.down_proj.biases": "model.safetensors",
264
+ "model.layers.19.mlp.down_proj.scales": "model.safetensors",
265
+ "model.layers.19.mlp.down_proj.weight": "model.safetensors",
266
+ "model.layers.19.mlp.gate_proj.biases": "model.safetensors",
267
+ "model.layers.19.mlp.gate_proj.scales": "model.safetensors",
268
+ "model.layers.19.mlp.gate_proj.weight": "model.safetensors",
269
+ "model.layers.19.mlp.up_proj.biases": "model.safetensors",
270
+ "model.layers.19.mlp.up_proj.scales": "model.safetensors",
271
+ "model.layers.19.mlp.up_proj.weight": "model.safetensors",
272
+ "model.layers.19.post_attention_layernorm.weight": "model.safetensors",
273
+ "model.layers.19.self_attn.k_proj.biases": "model.safetensors",
274
+ "model.layers.19.self_attn.k_proj.scales": "model.safetensors",
275
+ "model.layers.19.self_attn.k_proj.weight": "model.safetensors",
276
+ "model.layers.19.self_attn.o_proj.biases": "model.safetensors",
277
+ "model.layers.19.self_attn.o_proj.scales": "model.safetensors",
278
+ "model.layers.19.self_attn.o_proj.weight": "model.safetensors",
279
+ "model.layers.19.self_attn.q_proj.biases": "model.safetensors",
280
+ "model.layers.19.self_attn.q_proj.scales": "model.safetensors",
281
+ "model.layers.19.self_attn.q_proj.weight": "model.safetensors",
282
+ "model.layers.19.self_attn.v_proj.biases": "model.safetensors",
283
+ "model.layers.19.self_attn.v_proj.scales": "model.safetensors",
284
+ "model.layers.19.self_attn.v_proj.weight": "model.safetensors",
285
+ "model.layers.2.input_layernorm.weight": "model.safetensors",
286
+ "model.layers.2.mlp.down_proj.biases": "model.safetensors",
287
+ "model.layers.2.mlp.down_proj.scales": "model.safetensors",
288
+ "model.layers.2.mlp.down_proj.weight": "model.safetensors",
289
+ "model.layers.2.mlp.gate_proj.biases": "model.safetensors",
290
+ "model.layers.2.mlp.gate_proj.scales": "model.safetensors",
291
+ "model.layers.2.mlp.gate_proj.weight": "model.safetensors",
292
+ "model.layers.2.mlp.up_proj.biases": "model.safetensors",
293
+ "model.layers.2.mlp.up_proj.scales": "model.safetensors",
294
+ "model.layers.2.mlp.up_proj.weight": "model.safetensors",
295
+ "model.layers.2.post_attention_layernorm.weight": "model.safetensors",
296
+ "model.layers.2.self_attn.k_proj.biases": "model.safetensors",
297
+ "model.layers.2.self_attn.k_proj.scales": "model.safetensors",
298
+ "model.layers.2.self_attn.k_proj.weight": "model.safetensors",
299
+ "model.layers.2.self_attn.o_proj.biases": "model.safetensors",
300
+ "model.layers.2.self_attn.o_proj.scales": "model.safetensors",
301
+ "model.layers.2.self_attn.o_proj.weight": "model.safetensors",
302
+ "model.layers.2.self_attn.q_proj.biases": "model.safetensors",
303
+ "model.layers.2.self_attn.q_proj.scales": "model.safetensors",
304
+ "model.layers.2.self_attn.q_proj.weight": "model.safetensors",
305
+ "model.layers.2.self_attn.v_proj.biases": "model.safetensors",
306
+ "model.layers.2.self_attn.v_proj.scales": "model.safetensors",
307
+ "model.layers.2.self_attn.v_proj.weight": "model.safetensors",
308
+ "model.layers.20.input_layernorm.weight": "model.safetensors",
309
+ "model.layers.20.mlp.down_proj.biases": "model.safetensors",
310
+ "model.layers.20.mlp.down_proj.scales": "model.safetensors",
311
+ "model.layers.20.mlp.down_proj.weight": "model.safetensors",
312
+ "model.layers.20.mlp.gate_proj.biases": "model.safetensors",
313
+ "model.layers.20.mlp.gate_proj.scales": "model.safetensors",
314
+ "model.layers.20.mlp.gate_proj.weight": "model.safetensors",
315
+ "model.layers.20.mlp.up_proj.biases": "model.safetensors",
316
+ "model.layers.20.mlp.up_proj.scales": "model.safetensors",
317
+ "model.layers.20.mlp.up_proj.weight": "model.safetensors",
318
+ "model.layers.20.post_attention_layernorm.weight": "model.safetensors",
319
+ "model.layers.20.self_attn.k_proj.biases": "model.safetensors",
320
+ "model.layers.20.self_attn.k_proj.scales": "model.safetensors",
321
+ "model.layers.20.self_attn.k_proj.weight": "model.safetensors",
322
+ "model.layers.20.self_attn.o_proj.biases": "model.safetensors",
323
+ "model.layers.20.self_attn.o_proj.scales": "model.safetensors",
324
+ "model.layers.20.self_attn.o_proj.weight": "model.safetensors",
325
+ "model.layers.20.self_attn.q_proj.biases": "model.safetensors",
326
+ "model.layers.20.self_attn.q_proj.scales": "model.safetensors",
327
+ "model.layers.20.self_attn.q_proj.weight": "model.safetensors",
328
+ "model.layers.20.self_attn.v_proj.biases": "model.safetensors",
329
+ "model.layers.20.self_attn.v_proj.scales": "model.safetensors",
330
+ "model.layers.20.self_attn.v_proj.weight": "model.safetensors",
331
+ "model.layers.21.input_layernorm.weight": "model.safetensors",
332
+ "model.layers.21.mlp.down_proj.biases": "model.safetensors",
333
+ "model.layers.21.mlp.down_proj.scales": "model.safetensors",
334
+ "model.layers.21.mlp.down_proj.weight": "model.safetensors",
335
+ "model.layers.21.mlp.gate_proj.biases": "model.safetensors",
336
+ "model.layers.21.mlp.gate_proj.scales": "model.safetensors",
337
+ "model.layers.21.mlp.gate_proj.weight": "model.safetensors",
338
+ "model.layers.21.mlp.up_proj.biases": "model.safetensors",
339
+ "model.layers.21.mlp.up_proj.scales": "model.safetensors",
340
+ "model.layers.21.mlp.up_proj.weight": "model.safetensors",
341
+ "model.layers.21.post_attention_layernorm.weight": "model.safetensors",
342
+ "model.layers.21.self_attn.k_proj.biases": "model.safetensors",
343
+ "model.layers.21.self_attn.k_proj.scales": "model.safetensors",
344
+ "model.layers.21.self_attn.k_proj.weight": "model.safetensors",
345
+ "model.layers.21.self_attn.o_proj.biases": "model.safetensors",
346
+ "model.layers.21.self_attn.o_proj.scales": "model.safetensors",
347
+ "model.layers.21.self_attn.o_proj.weight": "model.safetensors",
348
+ "model.layers.21.self_attn.q_proj.biases": "model.safetensors",
349
+ "model.layers.21.self_attn.q_proj.scales": "model.safetensors",
350
+ "model.layers.21.self_attn.q_proj.weight": "model.safetensors",
351
+ "model.layers.21.self_attn.v_proj.biases": "model.safetensors",
352
+ "model.layers.21.self_attn.v_proj.scales": "model.safetensors",
353
+ "model.layers.21.self_attn.v_proj.weight": "model.safetensors",
354
+ "model.layers.22.input_layernorm.weight": "model.safetensors",
355
+ "model.layers.22.mlp.down_proj.biases": "model.safetensors",
356
+ "model.layers.22.mlp.down_proj.scales": "model.safetensors",
357
+ "model.layers.22.mlp.down_proj.weight": "model.safetensors",
358
+ "model.layers.22.mlp.gate_proj.biases": "model.safetensors",
359
+ "model.layers.22.mlp.gate_proj.scales": "model.safetensors",
360
+ "model.layers.22.mlp.gate_proj.weight": "model.safetensors",
361
+ "model.layers.22.mlp.up_proj.biases": "model.safetensors",
362
+ "model.layers.22.mlp.up_proj.scales": "model.safetensors",
363
+ "model.layers.22.mlp.up_proj.weight": "model.safetensors",
364
+ "model.layers.22.post_attention_layernorm.weight": "model.safetensors",
365
+ "model.layers.22.self_attn.k_proj.biases": "model.safetensors",
366
+ "model.layers.22.self_attn.k_proj.scales": "model.safetensors",
367
+ "model.layers.22.self_attn.k_proj.weight": "model.safetensors",
368
+ "model.layers.22.self_attn.o_proj.biases": "model.safetensors",
369
+ "model.layers.22.self_attn.o_proj.scales": "model.safetensors",
370
+ "model.layers.22.self_attn.o_proj.weight": "model.safetensors",
371
+ "model.layers.22.self_attn.q_proj.biases": "model.safetensors",
372
+ "model.layers.22.self_attn.q_proj.scales": "model.safetensors",
373
+ "model.layers.22.self_attn.q_proj.weight": "model.safetensors",
374
+ "model.layers.22.self_attn.v_proj.biases": "model.safetensors",
375
+ "model.layers.22.self_attn.v_proj.scales": "model.safetensors",
376
+ "model.layers.22.self_attn.v_proj.weight": "model.safetensors",
377
+ "model.layers.23.input_layernorm.weight": "model.safetensors",
378
+ "model.layers.23.mlp.down_proj.biases": "model.safetensors",
379
+ "model.layers.23.mlp.down_proj.scales": "model.safetensors",
380
+ "model.layers.23.mlp.down_proj.weight": "model.safetensors",
381
+ "model.layers.23.mlp.gate_proj.biases": "model.safetensors",
382
+ "model.layers.23.mlp.gate_proj.scales": "model.safetensors",
383
+ "model.layers.23.mlp.gate_proj.weight": "model.safetensors",
384
+ "model.layers.23.mlp.up_proj.biases": "model.safetensors",
385
+ "model.layers.23.mlp.up_proj.scales": "model.safetensors",
386
+ "model.layers.23.mlp.up_proj.weight": "model.safetensors",
387
+ "model.layers.23.post_attention_layernorm.weight": "model.safetensors",
388
+ "model.layers.23.self_attn.k_proj.biases": "model.safetensors",
389
+ "model.layers.23.self_attn.k_proj.scales": "model.safetensors",
390
+ "model.layers.23.self_attn.k_proj.weight": "model.safetensors",
391
+ "model.layers.23.self_attn.o_proj.biases": "model.safetensors",
392
+ "model.layers.23.self_attn.o_proj.scales": "model.safetensors",
393
+ "model.layers.23.self_attn.o_proj.weight": "model.safetensors",
394
+ "model.layers.23.self_attn.q_proj.biases": "model.safetensors",
395
+ "model.layers.23.self_attn.q_proj.scales": "model.safetensors",
396
+ "model.layers.23.self_attn.q_proj.weight": "model.safetensors",
397
+ "model.layers.23.self_attn.v_proj.biases": "model.safetensors",
398
+ "model.layers.23.self_attn.v_proj.scales": "model.safetensors",
399
+ "model.layers.23.self_attn.v_proj.weight": "model.safetensors",
400
+ "model.layers.24.input_layernorm.weight": "model.safetensors",
401
+ "model.layers.24.mlp.down_proj.biases": "model.safetensors",
402
+ "model.layers.24.mlp.down_proj.scales": "model.safetensors",
403
+ "model.layers.24.mlp.down_proj.weight": "model.safetensors",
404
+ "model.layers.24.mlp.gate_proj.biases": "model.safetensors",
405
+ "model.layers.24.mlp.gate_proj.scales": "model.safetensors",
406
+ "model.layers.24.mlp.gate_proj.weight": "model.safetensors",
407
+ "model.layers.24.mlp.up_proj.biases": "model.safetensors",
408
+ "model.layers.24.mlp.up_proj.scales": "model.safetensors",
409
+ "model.layers.24.mlp.up_proj.weight": "model.safetensors",
410
+ "model.layers.24.post_attention_layernorm.weight": "model.safetensors",
411
+ "model.layers.24.self_attn.k_proj.biases": "model.safetensors",
412
+ "model.layers.24.self_attn.k_proj.scales": "model.safetensors",
413
+ "model.layers.24.self_attn.k_proj.weight": "model.safetensors",
414
+ "model.layers.24.self_attn.o_proj.biases": "model.safetensors",
415
+ "model.layers.24.self_attn.o_proj.scales": "model.safetensors",
416
+ "model.layers.24.self_attn.o_proj.weight": "model.safetensors",
417
+ "model.layers.24.self_attn.q_proj.biases": "model.safetensors",
418
+ "model.layers.24.self_attn.q_proj.scales": "model.safetensors",
419
+ "model.layers.24.self_attn.q_proj.weight": "model.safetensors",
420
+ "model.layers.24.self_attn.v_proj.biases": "model.safetensors",
421
+ "model.layers.24.self_attn.v_proj.scales": "model.safetensors",
422
+ "model.layers.24.self_attn.v_proj.weight": "model.safetensors",
423
+ "model.layers.25.input_layernorm.weight": "model.safetensors",
424
+ "model.layers.25.mlp.down_proj.biases": "model.safetensors",
425
+ "model.layers.25.mlp.down_proj.scales": "model.safetensors",
426
+ "model.layers.25.mlp.down_proj.weight": "model.safetensors",
427
+ "model.layers.25.mlp.gate_proj.biases": "model.safetensors",
428
+ "model.layers.25.mlp.gate_proj.scales": "model.safetensors",
429
+ "model.layers.25.mlp.gate_proj.weight": "model.safetensors",
430
+ "model.layers.25.mlp.up_proj.biases": "model.safetensors",
431
+ "model.layers.25.mlp.up_proj.scales": "model.safetensors",
432
+ "model.layers.25.mlp.up_proj.weight": "model.safetensors",
433
+ "model.layers.25.post_attention_layernorm.weight": "model.safetensors",
434
+ "model.layers.25.self_attn.k_proj.biases": "model.safetensors",
435
+ "model.layers.25.self_attn.k_proj.scales": "model.safetensors",
436
+ "model.layers.25.self_attn.k_proj.weight": "model.safetensors",
437
+ "model.layers.25.self_attn.o_proj.biases": "model.safetensors",
438
+ "model.layers.25.self_attn.o_proj.scales": "model.safetensors",
439
+ "model.layers.25.self_attn.o_proj.weight": "model.safetensors",
440
+ "model.layers.25.self_attn.q_proj.biases": "model.safetensors",
441
+ "model.layers.25.self_attn.q_proj.scales": "model.safetensors",
442
+ "model.layers.25.self_attn.q_proj.weight": "model.safetensors",
443
+ "model.layers.25.self_attn.v_proj.biases": "model.safetensors",
444
+ "model.layers.25.self_attn.v_proj.scales": "model.safetensors",
445
+ "model.layers.25.self_attn.v_proj.weight": "model.safetensors",
446
+ "model.layers.26.input_layernorm.weight": "model.safetensors",
447
+ "model.layers.26.mlp.down_proj.biases": "model.safetensors",
448
+ "model.layers.26.mlp.down_proj.scales": "model.safetensors",
449
+ "model.layers.26.mlp.down_proj.weight": "model.safetensors",
450
+ "model.layers.26.mlp.gate_proj.biases": "model.safetensors",
451
+ "model.layers.26.mlp.gate_proj.scales": "model.safetensors",
452
+ "model.layers.26.mlp.gate_proj.weight": "model.safetensors",
453
+ "model.layers.26.mlp.up_proj.biases": "model.safetensors",
454
+ "model.layers.26.mlp.up_proj.scales": "model.safetensors",
455
+ "model.layers.26.mlp.up_proj.weight": "model.safetensors",
456
+ "model.layers.26.post_attention_layernorm.weight": "model.safetensors",
457
+ "model.layers.26.self_attn.k_proj.biases": "model.safetensors",
458
+ "model.layers.26.self_attn.k_proj.scales": "model.safetensors",
459
+ "model.layers.26.self_attn.k_proj.weight": "model.safetensors",
460
+ "model.layers.26.self_attn.o_proj.biases": "model.safetensors",
461
+ "model.layers.26.self_attn.o_proj.scales": "model.safetensors",
462
+ "model.layers.26.self_attn.o_proj.weight": "model.safetensors",
463
+ "model.layers.26.self_attn.q_proj.biases": "model.safetensors",
464
+ "model.layers.26.self_attn.q_proj.scales": "model.safetensors",
465
+ "model.layers.26.self_attn.q_proj.weight": "model.safetensors",
466
+ "model.layers.26.self_attn.v_proj.biases": "model.safetensors",
467
+ "model.layers.26.self_attn.v_proj.scales": "model.safetensors",
468
+ "model.layers.26.self_attn.v_proj.weight": "model.safetensors",
469
+ "model.layers.27.input_layernorm.weight": "model.safetensors",
470
+ "model.layers.27.mlp.down_proj.biases": "model.safetensors",
471
+ "model.layers.27.mlp.down_proj.scales": "model.safetensors",
472
+ "model.layers.27.mlp.down_proj.weight": "model.safetensors",
473
+ "model.layers.27.mlp.gate_proj.biases": "model.safetensors",
474
+ "model.layers.27.mlp.gate_proj.scales": "model.safetensors",
475
+ "model.layers.27.mlp.gate_proj.weight": "model.safetensors",
476
+ "model.layers.27.mlp.up_proj.biases": "model.safetensors",
477
+ "model.layers.27.mlp.up_proj.scales": "model.safetensors",
478
+ "model.layers.27.mlp.up_proj.weight": "model.safetensors",
479
+ "model.layers.27.post_attention_layernorm.weight": "model.safetensors",
480
+ "model.layers.27.self_attn.k_proj.biases": "model.safetensors",
481
+ "model.layers.27.self_attn.k_proj.scales": "model.safetensors",
482
+ "model.layers.27.self_attn.k_proj.weight": "model.safetensors",
483
+ "model.layers.27.self_attn.o_proj.biases": "model.safetensors",
484
+ "model.layers.27.self_attn.o_proj.scales": "model.safetensors",
485
+ "model.layers.27.self_attn.o_proj.weight": "model.safetensors",
486
+ "model.layers.27.self_attn.q_proj.biases": "model.safetensors",
487
+ "model.layers.27.self_attn.q_proj.scales": "model.safetensors",
488
+ "model.layers.27.self_attn.q_proj.weight": "model.safetensors",
489
+ "model.layers.27.self_attn.v_proj.biases": "model.safetensors",
490
+ "model.layers.27.self_attn.v_proj.scales": "model.safetensors",
491
+ "model.layers.27.self_attn.v_proj.weight": "model.safetensors",
492
+ "model.layers.3.input_layernorm.weight": "model.safetensors",
493
+ "model.layers.3.mlp.down_proj.biases": "model.safetensors",
494
+ "model.layers.3.mlp.down_proj.scales": "model.safetensors",
495
+ "model.layers.3.mlp.down_proj.weight": "model.safetensors",
496
+ "model.layers.3.mlp.gate_proj.biases": "model.safetensors",
497
+ "model.layers.3.mlp.gate_proj.scales": "model.safetensors",
498
+ "model.layers.3.mlp.gate_proj.weight": "model.safetensors",
499
+ "model.layers.3.mlp.up_proj.biases": "model.safetensors",
500
+ "model.layers.3.mlp.up_proj.scales": "model.safetensors",
501
+ "model.layers.3.mlp.up_proj.weight": "model.safetensors",
502
+ "model.layers.3.post_attention_layernorm.weight": "model.safetensors",
503
+ "model.layers.3.self_attn.k_proj.biases": "model.safetensors",
504
+ "model.layers.3.self_attn.k_proj.scales": "model.safetensors",
505
+ "model.layers.3.self_attn.k_proj.weight": "model.safetensors",
506
+ "model.layers.3.self_attn.o_proj.biases": "model.safetensors",
507
+ "model.layers.3.self_attn.o_proj.scales": "model.safetensors",
508
+ "model.layers.3.self_attn.o_proj.weight": "model.safetensors",
509
+ "model.layers.3.self_attn.q_proj.biases": "model.safetensors",
510
+ "model.layers.3.self_attn.q_proj.scales": "model.safetensors",
511
+ "model.layers.3.self_attn.q_proj.weight": "model.safetensors",
512
+ "model.layers.3.self_attn.v_proj.biases": "model.safetensors",
513
+ "model.layers.3.self_attn.v_proj.scales": "model.safetensors",
514
+ "model.layers.3.self_attn.v_proj.weight": "model.safetensors",
515
+ "model.layers.4.input_layernorm.weight": "model.safetensors",
516
+ "model.layers.4.mlp.down_proj.biases": "model.safetensors",
517
+ "model.layers.4.mlp.down_proj.scales": "model.safetensors",
518
+ "model.layers.4.mlp.down_proj.weight": "model.safetensors",
519
+ "model.layers.4.mlp.gate_proj.biases": "model.safetensors",
520
+ "model.layers.4.mlp.gate_proj.scales": "model.safetensors",
521
+ "model.layers.4.mlp.gate_proj.weight": "model.safetensors",
522
+ "model.layers.4.mlp.up_proj.biases": "model.safetensors",
523
+ "model.layers.4.mlp.up_proj.scales": "model.safetensors",
524
+ "model.layers.4.mlp.up_proj.weight": "model.safetensors",
525
+ "model.layers.4.post_attention_layernorm.weight": "model.safetensors",
526
+ "model.layers.4.self_attn.k_proj.biases": "model.safetensors",
527
+ "model.layers.4.self_attn.k_proj.scales": "model.safetensors",
528
+ "model.layers.4.self_attn.k_proj.weight": "model.safetensors",
529
+ "model.layers.4.self_attn.o_proj.biases": "model.safetensors",
530
+ "model.layers.4.self_attn.o_proj.scales": "model.safetensors",
531
+ "model.layers.4.self_attn.o_proj.weight": "model.safetensors",
532
+ "model.layers.4.self_attn.q_proj.biases": "model.safetensors",
533
+ "model.layers.4.self_attn.q_proj.scales": "model.safetensors",
534
+ "model.layers.4.self_attn.q_proj.weight": "model.safetensors",
535
+ "model.layers.4.self_attn.v_proj.biases": "model.safetensors",
536
+ "model.layers.4.self_attn.v_proj.scales": "model.safetensors",
537
+ "model.layers.4.self_attn.v_proj.weight": "model.safetensors",
538
+ "model.layers.5.input_layernorm.weight": "model.safetensors",
539
+ "model.layers.5.mlp.down_proj.biases": "model.safetensors",
540
+ "model.layers.5.mlp.down_proj.scales": "model.safetensors",
541
+ "model.layers.5.mlp.down_proj.weight": "model.safetensors",
542
+ "model.layers.5.mlp.gate_proj.biases": "model.safetensors",
543
+ "model.layers.5.mlp.gate_proj.scales": "model.safetensors",
544
+ "model.layers.5.mlp.gate_proj.weight": "model.safetensors",
545
+ "model.layers.5.mlp.up_proj.biases": "model.safetensors",
546
+ "model.layers.5.mlp.up_proj.scales": "model.safetensors",
547
+ "model.layers.5.mlp.up_proj.weight": "model.safetensors",
548
+ "model.layers.5.post_attention_layernorm.weight": "model.safetensors",
549
+ "model.layers.5.self_attn.k_proj.biases": "model.safetensors",
550
+ "model.layers.5.self_attn.k_proj.scales": "model.safetensors",
551
+ "model.layers.5.self_attn.k_proj.weight": "model.safetensors",
552
+ "model.layers.5.self_attn.o_proj.biases": "model.safetensors",
553
+ "model.layers.5.self_attn.o_proj.scales": "model.safetensors",
554
+ "model.layers.5.self_attn.o_proj.weight": "model.safetensors",
555
+ "model.layers.5.self_attn.q_proj.biases": "model.safetensors",
556
+ "model.layers.5.self_attn.q_proj.scales": "model.safetensors",
557
+ "model.layers.5.self_attn.q_proj.weight": "model.safetensors",
558
+ "model.layers.5.self_attn.v_proj.biases": "model.safetensors",
559
+ "model.layers.5.self_attn.v_proj.scales": "model.safetensors",
560
+ "model.layers.5.self_attn.v_proj.weight": "model.safetensors",
561
+ "model.layers.6.input_layernorm.weight": "model.safetensors",
562
+ "model.layers.6.mlp.down_proj.biases": "model.safetensors",
563
+ "model.layers.6.mlp.down_proj.scales": "model.safetensors",
564
+ "model.layers.6.mlp.down_proj.weight": "model.safetensors",
565
+ "model.layers.6.mlp.gate_proj.biases": "model.safetensors",
566
+ "model.layers.6.mlp.gate_proj.scales": "model.safetensors",
567
+ "model.layers.6.mlp.gate_proj.weight": "model.safetensors",
568
+ "model.layers.6.mlp.up_proj.biases": "model.safetensors",
569
+ "model.layers.6.mlp.up_proj.scales": "model.safetensors",
570
+ "model.layers.6.mlp.up_proj.weight": "model.safetensors",
571
+ "model.layers.6.post_attention_layernorm.weight": "model.safetensors",
572
+ "model.layers.6.self_attn.k_proj.biases": "model.safetensors",
573
+ "model.layers.6.self_attn.k_proj.scales": "model.safetensors",
574
+ "model.layers.6.self_attn.k_proj.weight": "model.safetensors",
575
+ "model.layers.6.self_attn.o_proj.biases": "model.safetensors",
576
+ "model.layers.6.self_attn.o_proj.scales": "model.safetensors",
577
+ "model.layers.6.self_attn.o_proj.weight": "model.safetensors",
578
+ "model.layers.6.self_attn.q_proj.biases": "model.safetensors",
579
+ "model.layers.6.self_attn.q_proj.scales": "model.safetensors",
580
+ "model.layers.6.self_attn.q_proj.weight": "model.safetensors",
581
+ "model.layers.6.self_attn.v_proj.biases": "model.safetensors",
582
+ "model.layers.6.self_attn.v_proj.scales": "model.safetensors",
583
+ "model.layers.6.self_attn.v_proj.weight": "model.safetensors",
584
+ "model.layers.7.input_layernorm.weight": "model.safetensors",
585
+ "model.layers.7.mlp.down_proj.biases": "model.safetensors",
586
+ "model.layers.7.mlp.down_proj.scales": "model.safetensors",
587
+ "model.layers.7.mlp.down_proj.weight": "model.safetensors",
588
+ "model.layers.7.mlp.gate_proj.biases": "model.safetensors",
589
+ "model.layers.7.mlp.gate_proj.scales": "model.safetensors",
590
+ "model.layers.7.mlp.gate_proj.weight": "model.safetensors",
591
+ "model.layers.7.mlp.up_proj.biases": "model.safetensors",
592
+ "model.layers.7.mlp.up_proj.scales": "model.safetensors",
593
+ "model.layers.7.mlp.up_proj.weight": "model.safetensors",
594
+ "model.layers.7.post_attention_layernorm.weight": "model.safetensors",
595
+ "model.layers.7.self_attn.k_proj.biases": "model.safetensors",
596
+ "model.layers.7.self_attn.k_proj.scales": "model.safetensors",
597
+ "model.layers.7.self_attn.k_proj.weight": "model.safetensors",
598
+ "model.layers.7.self_attn.o_proj.biases": "model.safetensors",
599
+ "model.layers.7.self_attn.o_proj.scales": "model.safetensors",
600
+ "model.layers.7.self_attn.o_proj.weight": "model.safetensors",
601
+ "model.layers.7.self_attn.q_proj.biases": "model.safetensors",
602
+ "model.layers.7.self_attn.q_proj.scales": "model.safetensors",
603
+ "model.layers.7.self_attn.q_proj.weight": "model.safetensors",
604
+ "model.layers.7.self_attn.v_proj.biases": "model.safetensors",
605
+ "model.layers.7.self_attn.v_proj.scales": "model.safetensors",
606
+ "model.layers.7.self_attn.v_proj.weight": "model.safetensors",
607
+ "model.layers.8.input_layernorm.weight": "model.safetensors",
608
+ "model.layers.8.mlp.down_proj.biases": "model.safetensors",
609
+ "model.layers.8.mlp.down_proj.scales": "model.safetensors",
610
+ "model.layers.8.mlp.down_proj.weight": "model.safetensors",
611
+ "model.layers.8.mlp.gate_proj.biases": "model.safetensors",
612
+ "model.layers.8.mlp.gate_proj.scales": "model.safetensors",
613
+ "model.layers.8.mlp.gate_proj.weight": "model.safetensors",
614
+ "model.layers.8.mlp.up_proj.biases": "model.safetensors",
615
+ "model.layers.8.mlp.up_proj.scales": "model.safetensors",
616
+ "model.layers.8.mlp.up_proj.weight": "model.safetensors",
617
+ "model.layers.8.post_attention_layernorm.weight": "model.safetensors",
618
+ "model.layers.8.self_attn.k_proj.biases": "model.safetensors",
619
+ "model.layers.8.self_attn.k_proj.scales": "model.safetensors",
620
+ "model.layers.8.self_attn.k_proj.weight": "model.safetensors",
621
+ "model.layers.8.self_attn.o_proj.biases": "model.safetensors",
622
+ "model.layers.8.self_attn.o_proj.scales": "model.safetensors",
623
+ "model.layers.8.self_attn.o_proj.weight": "model.safetensors",
624
+ "model.layers.8.self_attn.q_proj.biases": "model.safetensors",
625
+ "model.layers.8.self_attn.q_proj.scales": "model.safetensors",
626
+ "model.layers.8.self_attn.q_proj.weight": "model.safetensors",
627
+ "model.layers.8.self_attn.v_proj.biases": "model.safetensors",
628
+ "model.layers.8.self_attn.v_proj.scales": "model.safetensors",
629
+ "model.layers.8.self_attn.v_proj.weight": "model.safetensors",
630
+ "model.layers.9.input_layernorm.weight": "model.safetensors",
631
+ "model.layers.9.mlp.down_proj.biases": "model.safetensors",
632
+ "model.layers.9.mlp.down_proj.scales": "model.safetensors",
633
+ "model.layers.9.mlp.down_proj.weight": "model.safetensors",
634
+ "model.layers.9.mlp.gate_proj.biases": "model.safetensors",
635
+ "model.layers.9.mlp.gate_proj.scales": "model.safetensors",
636
+ "model.layers.9.mlp.gate_proj.weight": "model.safetensors",
637
+ "model.layers.9.mlp.up_proj.biases": "model.safetensors",
638
+ "model.layers.9.mlp.up_proj.scales": "model.safetensors",
639
+ "model.layers.9.mlp.up_proj.weight": "model.safetensors",
640
+ "model.layers.9.post_attention_layernorm.weight": "model.safetensors",
641
+ "model.layers.9.self_attn.k_proj.biases": "model.safetensors",
642
+ "model.layers.9.self_attn.k_proj.scales": "model.safetensors",
643
+ "model.layers.9.self_attn.k_proj.weight": "model.safetensors",
644
+ "model.layers.9.self_attn.o_proj.biases": "model.safetensors",
645
+ "model.layers.9.self_attn.o_proj.scales": "model.safetensors",
646
+ "model.layers.9.self_attn.o_proj.weight": "model.safetensors",
647
+ "model.layers.9.self_attn.q_proj.biases": "model.safetensors",
648
+ "model.layers.9.self_attn.q_proj.scales": "model.safetensors",
649
+ "model.layers.9.self_attn.q_proj.weight": "model.safetensors",
650
+ "model.layers.9.self_attn.v_proj.biases": "model.safetensors",
651
+ "model.layers.9.self_attn.v_proj.scales": "model.safetensors",
652
+ "model.layers.9.self_attn.v_proj.weight": "model.safetensors",
653
+ "model.norm.weight": "model.safetensors"
654
+ }
655
+ }
special_tokens_map.json ADDED
@@ -0,0 +1,16 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": {
3
+ "content": "<|begin_of_text|>",
4
+ "lstrip": false,
5
+ "normalized": false,
6
+ "rstrip": false,
7
+ "single_word": false
8
+ },
9
+ "eos_token": {
10
+ "content": "<|eot_id|>",
11
+ "lstrip": false,
12
+ "normalized": false,
13
+ "rstrip": false,
14
+ "single_word": false
15
+ }
16
+ }
tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6b9e4e7fb171f92fd137b777cc2714bf87d11576700a1dcd7a399e7bbe39537b
3
+ size 17209920
tokenizer_config.json ADDED
@@ -0,0 +1,2062 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "added_tokens_decoder": {
3
+ "128000": {
4
+ "content": "<|begin_of_text|>",
5
+ "lstrip": false,
6
+ "normalized": false,
7
+ "rstrip": false,
8
+ "single_word": false,
9
+ "special": true
10
+ },
11
+ "128001": {
12
+ "content": "<|end_of_text|>",
13
+ "lstrip": false,
14
+ "normalized": false,
15
+ "rstrip": false,
16
+ "single_word": false,
17
+ "special": true
18
+ },
19
+ "128002": {
20
+ "content": "<|reserved_special_token_0|>",
21
+ "lstrip": false,
22
+ "normalized": false,
23
+ "rstrip": false,
24
+ "single_word": false,
25
+ "special": true
26
+ },
27
+ "128003": {
28
+ "content": "<|reserved_special_token_1|>",
29
+ "lstrip": false,
30
+ "normalized": false,
31
+ "rstrip": false,
32
+ "single_word": false,
33
+ "special": true
34
+ },
35
+ "128004": {
36
+ "content": "<|finetune_right_pad_id|>",
37
+ "lstrip": false,
38
+ "normalized": false,
39
+ "rstrip": false,
40
+ "single_word": false,
41
+ "special": true
42
+ },
43
+ "128005": {
44
+ "content": "<|reserved_special_token_2|>",
45
+ "lstrip": false,
46
+ "normalized": false,
47
+ "rstrip": false,
48
+ "single_word": false,
49
+ "special": true
50
+ },
51
+ "128006": {
52
+ "content": "<|start_header_id|>",
53
+ "lstrip": false,
54
+ "normalized": false,
55
+ "rstrip": false,
56
+ "single_word": false,
57
+ "special": true
58
+ },
59
+ "128007": {
60
+ "content": "<|end_header_id|>",
61
+ "lstrip": false,
62
+ "normalized": false,
63
+ "rstrip": false,
64
+ "single_word": false,
65
+ "special": true
66
+ },
67
+ "128008": {
68
+ "content": "<|eom_id|>",
69
+ "lstrip": false,
70
+ "normalized": false,
71
+ "rstrip": false,
72
+ "single_word": false,
73
+ "special": true
74
+ },
75
+ "128009": {
76
+ "content": "<|eot_id|>",
77
+ "lstrip": false,
78
+ "normalized": false,
79
+ "rstrip": false,
80
+ "single_word": false,
81
+ "special": true
82
+ },
83
+ "128010": {
84
+ "content": "<|python_tag|>",
85
+ "lstrip": false,
86
+ "normalized": false,
87
+ "rstrip": false,
88
+ "single_word": false,
89
+ "special": true
90
+ },
91
+ "128011": {
92
+ "content": "<|reserved_special_token_3|>",
93
+ "lstrip": false,
94
+ "normalized": false,
95
+ "rstrip": false,
96
+ "single_word": false,
97
+ "special": true
98
+ },
99
+ "128012": {
100
+ "content": "<|reserved_special_token_4|>",
101
+ "lstrip": false,
102
+ "normalized": false,
103
+ "rstrip": false,
104
+ "single_word": false,
105
+ "special": true
106
+ },
107
+ "128013": {
108
+ "content": "<|reserved_special_token_5|>",
109
+ "lstrip": false,
110
+ "normalized": false,
111
+ "rstrip": false,
112
+ "single_word": false,
113
+ "special": true
114
+ },
115
+ "128014": {
116
+ "content": "<|reserved_special_token_6|>",
117
+ "lstrip": false,
118
+ "normalized": false,
119
+ "rstrip": false,
120
+ "single_word": false,
121
+ "special": true
122
+ },
123
+ "128015": {
124
+ "content": "<|reserved_special_token_7|>",
125
+ "lstrip": false,
126
+ "normalized": false,
127
+ "rstrip": false,
128
+ "single_word": false,
129
+ "special": true
130
+ },
131
+ "128016": {
132
+ "content": "<|reserved_special_token_8|>",
133
+ "lstrip": false,
134
+ "normalized": false,
135
+ "rstrip": false,
136
+ "single_word": false,
137
+ "special": true
138
+ },
139
+ "128017": {
140
+ "content": "<|reserved_special_token_9|>",
141
+ "lstrip": false,
142
+ "normalized": false,
143
+ "rstrip": false,
144
+ "single_word": false,
145
+ "special": true
146
+ },
147
+ "128018": {
148
+ "content": "<|reserved_special_token_10|>",
149
+ "lstrip": false,
150
+ "normalized": false,
151
+ "rstrip": false,
152
+ "single_word": false,
153
+ "special": true
154
+ },
155
+ "128019": {
156
+ "content": "<|reserved_special_token_11|>",
157
+ "lstrip": false,
158
+ "normalized": false,
159
+ "rstrip": false,
160
+ "single_word": false,
161
+ "special": true
162
+ },
163
+ "128020": {
164
+ "content": "<|reserved_special_token_12|>",
165
+ "lstrip": false,
166
+ "normalized": false,
167
+ "rstrip": false,
168
+ "single_word": false,
169
+ "special": true
170
+ },
171
+ "128021": {
172
+ "content": "<|reserved_special_token_13|>",
173
+ "lstrip": false,
174
+ "normalized": false,
175
+ "rstrip": false,
176
+ "single_word": false,
177
+ "special": true
178
+ },
179
+ "128022": {
180
+ "content": "<|reserved_special_token_14|>",
181
+ "lstrip": false,
182
+ "normalized": false,
183
+ "rstrip": false,
184
+ "single_word": false,
185
+ "special": true
186
+ },
187
+ "128023": {
188
+ "content": "<|reserved_special_token_15|>",
189
+ "lstrip": false,
190
+ "normalized": false,
191
+ "rstrip": false,
192
+ "single_word": false,
193
+ "special": true
194
+ },
195
+ "128024": {
196
+ "content": "<|reserved_special_token_16|>",
197
+ "lstrip": false,
198
+ "normalized": false,
199
+ "rstrip": false,
200
+ "single_word": false,
201
+ "special": true
202
+ },
203
+ "128025": {
204
+ "content": "<|reserved_special_token_17|>",
205
+ "lstrip": false,
206
+ "normalized": false,
207
+ "rstrip": false,
208
+ "single_word": false,
209
+ "special": true
210
+ },
211
+ "128026": {
212
+ "content": "<|reserved_special_token_18|>",
213
+ "lstrip": false,
214
+ "normalized": false,
215
+ "rstrip": false,
216
+ "single_word": false,
217
+ "special": true
218
+ },
219
+ "128027": {
220
+ "content": "<|reserved_special_token_19|>",
221
+ "lstrip": false,
222
+ "normalized": false,
223
+ "rstrip": false,
224
+ "single_word": false,
225
+ "special": true
226
+ },
227
+ "128028": {
228
+ "content": "<|reserved_special_token_20|>",
229
+ "lstrip": false,
230
+ "normalized": false,
231
+ "rstrip": false,
232
+ "single_word": false,
233
+ "special": true
234
+ },
235
+ "128029": {
236
+ "content": "<|reserved_special_token_21|>",
237
+ "lstrip": false,
238
+ "normalized": false,
239
+ "rstrip": false,
240
+ "single_word": false,
241
+ "special": true
242
+ },
243
+ "128030": {
244
+ "content": "<|reserved_special_token_22|>",
245
+ "lstrip": false,
246
+ "normalized": false,
247
+ "rstrip": false,
248
+ "single_word": false,
249
+ "special": true
250
+ },
251
+ "128031": {
252
+ "content": "<|reserved_special_token_23|>",
253
+ "lstrip": false,
254
+ "normalized": false,
255
+ "rstrip": false,
256
+ "single_word": false,
257
+ "special": true
258
+ },
259
+ "128032": {
260
+ "content": "<|reserved_special_token_24|>",
261
+ "lstrip": false,
262
+ "normalized": false,
263
+ "rstrip": false,
264
+ "single_word": false,
265
+ "special": true
266
+ },
267
+ "128033": {
268
+ "content": "<|reserved_special_token_25|>",
269
+ "lstrip": false,
270
+ "normalized": false,
271
+ "rstrip": false,
272
+ "single_word": false,
273
+ "special": true
274
+ },
275
+ "128034": {
276
+ "content": "<|reserved_special_token_26|>",
277
+ "lstrip": false,
278
+ "normalized": false,
279
+ "rstrip": false,
280
+ "single_word": false,
281
+ "special": true
282
+ },
283
+ "128035": {
284
+ "content": "<|reserved_special_token_27|>",
285
+ "lstrip": false,
286
+ "normalized": false,
287
+ "rstrip": false,
288
+ "single_word": false,
289
+ "special": true
290
+ },
291
+ "128036": {
292
+ "content": "<|reserved_special_token_28|>",
293
+ "lstrip": false,
294
+ "normalized": false,
295
+ "rstrip": false,
296
+ "single_word": false,
297
+ "special": true
298
+ },
299
+ "128037": {
300
+ "content": "<|reserved_special_token_29|>",
301
+ "lstrip": false,
302
+ "normalized": false,
303
+ "rstrip": false,
304
+ "single_word": false,
305
+ "special": true
306
+ },
307
+ "128038": {
308
+ "content": "<|reserved_special_token_30|>",
309
+ "lstrip": false,
310
+ "normalized": false,
311
+ "rstrip": false,
312
+ "single_word": false,
313
+ "special": true
314
+ },
315
+ "128039": {
316
+ "content": "<|reserved_special_token_31|>",
317
+ "lstrip": false,
318
+ "normalized": false,
319
+ "rstrip": false,
320
+ "single_word": false,
321
+ "special": true
322
+ },
323
+ "128040": {
324
+ "content": "<|reserved_special_token_32|>",
325
+ "lstrip": false,
326
+ "normalized": false,
327
+ "rstrip": false,
328
+ "single_word": false,
329
+ "special": true
330
+ },
331
+ "128041": {
332
+ "content": "<|reserved_special_token_33|>",
333
+ "lstrip": false,
334
+ "normalized": false,
335
+ "rstrip": false,
336
+ "single_word": false,
337
+ "special": true
338
+ },
339
+ "128042": {
340
+ "content": "<|reserved_special_token_34|>",
341
+ "lstrip": false,
342
+ "normalized": false,
343
+ "rstrip": false,
344
+ "single_word": false,
345
+ "special": true
346
+ },
347
+ "128043": {
348
+ "content": "<|reserved_special_token_35|>",
349
+ "lstrip": false,
350
+ "normalized": false,
351
+ "rstrip": false,
352
+ "single_word": false,
353
+ "special": true
354
+ },
355
+ "128044": {
356
+ "content": "<|reserved_special_token_36|>",
357
+ "lstrip": false,
358
+ "normalized": false,
359
+ "rstrip": false,
360
+ "single_word": false,
361
+ "special": true
362
+ },
363
+ "128045": {
364
+ "content": "<|reserved_special_token_37|>",
365
+ "lstrip": false,
366
+ "normalized": false,
367
+ "rstrip": false,
368
+ "single_word": false,
369
+ "special": true
370
+ },
371
+ "128046": {
372
+ "content": "<|reserved_special_token_38|>",
373
+ "lstrip": false,
374
+ "normalized": false,
375
+ "rstrip": false,
376
+ "single_word": false,
377
+ "special": true
378
+ },
379
+ "128047": {
380
+ "content": "<|reserved_special_token_39|>",
381
+ "lstrip": false,
382
+ "normalized": false,
383
+ "rstrip": false,
384
+ "single_word": false,
385
+ "special": true
386
+ },
387
+ "128048": {
388
+ "content": "<|reserved_special_token_40|>",
389
+ "lstrip": false,
390
+ "normalized": false,
391
+ "rstrip": false,
392
+ "single_word": false,
393
+ "special": true
394
+ },
395
+ "128049": {
396
+ "content": "<|reserved_special_token_41|>",
397
+ "lstrip": false,
398
+ "normalized": false,
399
+ "rstrip": false,
400
+ "single_word": false,
401
+ "special": true
402
+ },
403
+ "128050": {
404
+ "content": "<|reserved_special_token_42|>",
405
+ "lstrip": false,
406
+ "normalized": false,
407
+ "rstrip": false,
408
+ "single_word": false,
409
+ "special": true
410
+ },
411
+ "128051": {
412
+ "content": "<|reserved_special_token_43|>",
413
+ "lstrip": false,
414
+ "normalized": false,
415
+ "rstrip": false,
416
+ "single_word": false,
417
+ "special": true
418
+ },
419
+ "128052": {
420
+ "content": "<|reserved_special_token_44|>",
421
+ "lstrip": false,
422
+ "normalized": false,
423
+ "rstrip": false,
424
+ "single_word": false,
425
+ "special": true
426
+ },
427
+ "128053": {
428
+ "content": "<|reserved_special_token_45|>",
429
+ "lstrip": false,
430
+ "normalized": false,
431
+ "rstrip": false,
432
+ "single_word": false,
433
+ "special": true
434
+ },
435
+ "128054": {
436
+ "content": "<|reserved_special_token_46|>",
437
+ "lstrip": false,
438
+ "normalized": false,
439
+ "rstrip": false,
440
+ "single_word": false,
441
+ "special": true
442
+ },
443
+ "128055": {
444
+ "content": "<|reserved_special_token_47|>",
445
+ "lstrip": false,
446
+ "normalized": false,
447
+ "rstrip": false,
448
+ "single_word": false,
449
+ "special": true
450
+ },
451
+ "128056": {
452
+ "content": "<|reserved_special_token_48|>",
453
+ "lstrip": false,
454
+ "normalized": false,
455
+ "rstrip": false,
456
+ "single_word": false,
457
+ "special": true
458
+ },
459
+ "128057": {
460
+ "content": "<|reserved_special_token_49|>",
461
+ "lstrip": false,
462
+ "normalized": false,
463
+ "rstrip": false,
464
+ "single_word": false,
465
+ "special": true
466
+ },
467
+ "128058": {
468
+ "content": "<|reserved_special_token_50|>",
469
+ "lstrip": false,
470
+ "normalized": false,
471
+ "rstrip": false,
472
+ "single_word": false,
473
+ "special": true
474
+ },
475
+ "128059": {
476
+ "content": "<|reserved_special_token_51|>",
477
+ "lstrip": false,
478
+ "normalized": false,
479
+ "rstrip": false,
480
+ "single_word": false,
481
+ "special": true
482
+ },
483
+ "128060": {
484
+ "content": "<|reserved_special_token_52|>",
485
+ "lstrip": false,
486
+ "normalized": false,
487
+ "rstrip": false,
488
+ "single_word": false,
489
+ "special": true
490
+ },
491
+ "128061": {
492
+ "content": "<|reserved_special_token_53|>",
493
+ "lstrip": false,
494
+ "normalized": false,
495
+ "rstrip": false,
496
+ "single_word": false,
497
+ "special": true
498
+ },
499
+ "128062": {
500
+ "content": "<|reserved_special_token_54|>",
501
+ "lstrip": false,
502
+ "normalized": false,
503
+ "rstrip": false,
504
+ "single_word": false,
505
+ "special": true
506
+ },
507
+ "128063": {
508
+ "content": "<|reserved_special_token_55|>",
509
+ "lstrip": false,
510
+ "normalized": false,
511
+ "rstrip": false,
512
+ "single_word": false,
513
+ "special": true
514
+ },
515
+ "128064": {
516
+ "content": "<|reserved_special_token_56|>",
517
+ "lstrip": false,
518
+ "normalized": false,
519
+ "rstrip": false,
520
+ "single_word": false,
521
+ "special": true
522
+ },
523
+ "128065": {
524
+ "content": "<|reserved_special_token_57|>",
525
+ "lstrip": false,
526
+ "normalized": false,
527
+ "rstrip": false,
528
+ "single_word": false,
529
+ "special": true
530
+ },
531
+ "128066": {
532
+ "content": "<|reserved_special_token_58|>",
533
+ "lstrip": false,
534
+ "normalized": false,
535
+ "rstrip": false,
536
+ "single_word": false,
537
+ "special": true
538
+ },
539
+ "128067": {
540
+ "content": "<|reserved_special_token_59|>",
541
+ "lstrip": false,
542
+ "normalized": false,
543
+ "rstrip": false,
544
+ "single_word": false,
545
+ "special": true
546
+ },
547
+ "128068": {
548
+ "content": "<|reserved_special_token_60|>",
549
+ "lstrip": false,
550
+ "normalized": false,
551
+ "rstrip": false,
552
+ "single_word": false,
553
+ "special": true
554
+ },
555
+ "128069": {
556
+ "content": "<|reserved_special_token_61|>",
557
+ "lstrip": false,
558
+ "normalized": false,
559
+ "rstrip": false,
560
+ "single_word": false,
561
+ "special": true
562
+ },
563
+ "128070": {
564
+ "content": "<|reserved_special_token_62|>",
565
+ "lstrip": false,
566
+ "normalized": false,
567
+ "rstrip": false,
568
+ "single_word": false,
569
+ "special": true
570
+ },
571
+ "128071": {
572
+ "content": "<|reserved_special_token_63|>",
573
+ "lstrip": false,
574
+ "normalized": false,
575
+ "rstrip": false,
576
+ "single_word": false,
577
+ "special": true
578
+ },
579
+ "128072": {
580
+ "content": "<|reserved_special_token_64|>",
581
+ "lstrip": false,
582
+ "normalized": false,
583
+ "rstrip": false,
584
+ "single_word": false,
585
+ "special": true
586
+ },
587
+ "128073": {
588
+ "content": "<|reserved_special_token_65|>",
589
+ "lstrip": false,
590
+ "normalized": false,
591
+ "rstrip": false,
592
+ "single_word": false,
593
+ "special": true
594
+ },
595
+ "128074": {
596
+ "content": "<|reserved_special_token_66|>",
597
+ "lstrip": false,
598
+ "normalized": false,
599
+ "rstrip": false,
600
+ "single_word": false,
601
+ "special": true
602
+ },
603
+ "128075": {
604
+ "content": "<|reserved_special_token_67|>",
605
+ "lstrip": false,
606
+ "normalized": false,
607
+ "rstrip": false,
608
+ "single_word": false,
609
+ "special": true
610
+ },
611
+ "128076": {
612
+ "content": "<|reserved_special_token_68|>",
613
+ "lstrip": false,
614
+ "normalized": false,
615
+ "rstrip": false,
616
+ "single_word": false,
617
+ "special": true
618
+ },
619
+ "128077": {
620
+ "content": "<|reserved_special_token_69|>",
621
+ "lstrip": false,
622
+ "normalized": false,
623
+ "rstrip": false,
624
+ "single_word": false,
625
+ "special": true
626
+ },
627
+ "128078": {
628
+ "content": "<|reserved_special_token_70|>",
629
+ "lstrip": false,
630
+ "normalized": false,
631
+ "rstrip": false,
632
+ "single_word": false,
633
+ "special": true
634
+ },
635
+ "128079": {
636
+ "content": "<|reserved_special_token_71|>",
637
+ "lstrip": false,
638
+ "normalized": false,
639
+ "rstrip": false,
640
+ "single_word": false,
641
+ "special": true
642
+ },
643
+ "128080": {
644
+ "content": "<|reserved_special_token_72|>",
645
+ "lstrip": false,
646
+ "normalized": false,
647
+ "rstrip": false,
648
+ "single_word": false,
649
+ "special": true
650
+ },
651
+ "128081": {
652
+ "content": "<|reserved_special_token_73|>",
653
+ "lstrip": false,
654
+ "normalized": false,
655
+ "rstrip": false,
656
+ "single_word": false,
657
+ "special": true
658
+ },
659
+ "128082": {
660
+ "content": "<|reserved_special_token_74|>",
661
+ "lstrip": false,
662
+ "normalized": false,
663
+ "rstrip": false,
664
+ "single_word": false,
665
+ "special": true
666
+ },
667
+ "128083": {
668
+ "content": "<|reserved_special_token_75|>",
669
+ "lstrip": false,
670
+ "normalized": false,
671
+ "rstrip": false,
672
+ "single_word": false,
673
+ "special": true
674
+ },
675
+ "128084": {
676
+ "content": "<|reserved_special_token_76|>",
677
+ "lstrip": false,
678
+ "normalized": false,
679
+ "rstrip": false,
680
+ "single_word": false,
681
+ "special": true
682
+ },
683
+ "128085": {
684
+ "content": "<|reserved_special_token_77|>",
685
+ "lstrip": false,
686
+ "normalized": false,
687
+ "rstrip": false,
688
+ "single_word": false,
689
+ "special": true
690
+ },
691
+ "128086": {
692
+ "content": "<|reserved_special_token_78|>",
693
+ "lstrip": false,
694
+ "normalized": false,
695
+ "rstrip": false,
696
+ "single_word": false,
697
+ "special": true
698
+ },
699
+ "128087": {
700
+ "content": "<|reserved_special_token_79|>",
701
+ "lstrip": false,
702
+ "normalized": false,
703
+ "rstrip": false,
704
+ "single_word": false,
705
+ "special": true
706
+ },
707
+ "128088": {
708
+ "content": "<|reserved_special_token_80|>",
709
+ "lstrip": false,
710
+ "normalized": false,
711
+ "rstrip": false,
712
+ "single_word": false,
713
+ "special": true
714
+ },
715
+ "128089": {
716
+ "content": "<|reserved_special_token_81|>",
717
+ "lstrip": false,
718
+ "normalized": false,
719
+ "rstrip": false,
720
+ "single_word": false,
721
+ "special": true
722
+ },
723
+ "128090": {
724
+ "content": "<|reserved_special_token_82|>",
725
+ "lstrip": false,
726
+ "normalized": false,
727
+ "rstrip": false,
728
+ "single_word": false,
729
+ "special": true
730
+ },
731
+ "128091": {
732
+ "content": "<|reserved_special_token_83|>",
733
+ "lstrip": false,
734
+ "normalized": false,
735
+ "rstrip": false,
736
+ "single_word": false,
737
+ "special": true
738
+ },
739
+ "128092": {
740
+ "content": "<|reserved_special_token_84|>",
741
+ "lstrip": false,
742
+ "normalized": false,
743
+ "rstrip": false,
744
+ "single_word": false,
745
+ "special": true
746
+ },
747
+ "128093": {
748
+ "content": "<|reserved_special_token_85|>",
749
+ "lstrip": false,
750
+ "normalized": false,
751
+ "rstrip": false,
752
+ "single_word": false,
753
+ "special": true
754
+ },
755
+ "128094": {
756
+ "content": "<|reserved_special_token_86|>",
757
+ "lstrip": false,
758
+ "normalized": false,
759
+ "rstrip": false,
760
+ "single_word": false,
761
+ "special": true
762
+ },
763
+ "128095": {
764
+ "content": "<|reserved_special_token_87|>",
765
+ "lstrip": false,
766
+ "normalized": false,
767
+ "rstrip": false,
768
+ "single_word": false,
769
+ "special": true
770
+ },
771
+ "128096": {
772
+ "content": "<|reserved_special_token_88|>",
773
+ "lstrip": false,
774
+ "normalized": false,
775
+ "rstrip": false,
776
+ "single_word": false,
777
+ "special": true
778
+ },
779
+ "128097": {
780
+ "content": "<|reserved_special_token_89|>",
781
+ "lstrip": false,
782
+ "normalized": false,
783
+ "rstrip": false,
784
+ "single_word": false,
785
+ "special": true
786
+ },
787
+ "128098": {
788
+ "content": "<|reserved_special_token_90|>",
789
+ "lstrip": false,
790
+ "normalized": false,
791
+ "rstrip": false,
792
+ "single_word": false,
793
+ "special": true
794
+ },
795
+ "128099": {
796
+ "content": "<|reserved_special_token_91|>",
797
+ "lstrip": false,
798
+ "normalized": false,
799
+ "rstrip": false,
800
+ "single_word": false,
801
+ "special": true
802
+ },
803
+ "128100": {
804
+ "content": "<|reserved_special_token_92|>",
805
+ "lstrip": false,
806
+ "normalized": false,
807
+ "rstrip": false,
808
+ "single_word": false,
809
+ "special": true
810
+ },
811
+ "128101": {
812
+ "content": "<|reserved_special_token_93|>",
813
+ "lstrip": false,
814
+ "normalized": false,
815
+ "rstrip": false,
816
+ "single_word": false,
817
+ "special": true
818
+ },
819
+ "128102": {
820
+ "content": "<|reserved_special_token_94|>",
821
+ "lstrip": false,
822
+ "normalized": false,
823
+ "rstrip": false,
824
+ "single_word": false,
825
+ "special": true
826
+ },
827
+ "128103": {
828
+ "content": "<|reserved_special_token_95|>",
829
+ "lstrip": false,
830
+ "normalized": false,
831
+ "rstrip": false,
832
+ "single_word": false,
833
+ "special": true
834
+ },
835
+ "128104": {
836
+ "content": "<|reserved_special_token_96|>",
837
+ "lstrip": false,
838
+ "normalized": false,
839
+ "rstrip": false,
840
+ "single_word": false,
841
+ "special": true
842
+ },
843
+ "128105": {
844
+ "content": "<|reserved_special_token_97|>",
845
+ "lstrip": false,
846
+ "normalized": false,
847
+ "rstrip": false,
848
+ "single_word": false,
849
+ "special": true
850
+ },
851
+ "128106": {
852
+ "content": "<|reserved_special_token_98|>",
853
+ "lstrip": false,
854
+ "normalized": false,
855
+ "rstrip": false,
856
+ "single_word": false,
857
+ "special": true
858
+ },
859
+ "128107": {
860
+ "content": "<|reserved_special_token_99|>",
861
+ "lstrip": false,
862
+ "normalized": false,
863
+ "rstrip": false,
864
+ "single_word": false,
865
+ "special": true
866
+ },
867
+ "128108": {
868
+ "content": "<|reserved_special_token_100|>",
869
+ "lstrip": false,
870
+ "normalized": false,
871
+ "rstrip": false,
872
+ "single_word": false,
873
+ "special": true
874
+ },
875
+ "128109": {
876
+ "content": "<|reserved_special_token_101|>",
877
+ "lstrip": false,
878
+ "normalized": false,
879
+ "rstrip": false,
880
+ "single_word": false,
881
+ "special": true
882
+ },
883
+ "128110": {
884
+ "content": "<|reserved_special_token_102|>",
885
+ "lstrip": false,
886
+ "normalized": false,
887
+ "rstrip": false,
888
+ "single_word": false,
889
+ "special": true
890
+ },
891
+ "128111": {
892
+ "content": "<|reserved_special_token_103|>",
893
+ "lstrip": false,
894
+ "normalized": false,
895
+ "rstrip": false,
896
+ "single_word": false,
897
+ "special": true
898
+ },
899
+ "128112": {
900
+ "content": "<|reserved_special_token_104|>",
901
+ "lstrip": false,
902
+ "normalized": false,
903
+ "rstrip": false,
904
+ "single_word": false,
905
+ "special": true
906
+ },
907
+ "128113": {
908
+ "content": "<|reserved_special_token_105|>",
909
+ "lstrip": false,
910
+ "normalized": false,
911
+ "rstrip": false,
912
+ "single_word": false,
913
+ "special": true
914
+ },
915
+ "128114": {
916
+ "content": "<|reserved_special_token_106|>",
917
+ "lstrip": false,
918
+ "normalized": false,
919
+ "rstrip": false,
920
+ "single_word": false,
921
+ "special": true
922
+ },
923
+ "128115": {
924
+ "content": "<|reserved_special_token_107|>",
925
+ "lstrip": false,
926
+ "normalized": false,
927
+ "rstrip": false,
928
+ "single_word": false,
929
+ "special": true
930
+ },
931
+ "128116": {
932
+ "content": "<|reserved_special_token_108|>",
933
+ "lstrip": false,
934
+ "normalized": false,
935
+ "rstrip": false,
936
+ "single_word": false,
937
+ "special": true
938
+ },
939
+ "128117": {
940
+ "content": "<|reserved_special_token_109|>",
941
+ "lstrip": false,
942
+ "normalized": false,
943
+ "rstrip": false,
944
+ "single_word": false,
945
+ "special": true
946
+ },
947
+ "128118": {
948
+ "content": "<|reserved_special_token_110|>",
949
+ "lstrip": false,
950
+ "normalized": false,
951
+ "rstrip": false,
952
+ "single_word": false,
953
+ "special": true
954
+ },
955
+ "128119": {
956
+ "content": "<|reserved_special_token_111|>",
957
+ "lstrip": false,
958
+ "normalized": false,
959
+ "rstrip": false,
960
+ "single_word": false,
961
+ "special": true
962
+ },
963
+ "128120": {
964
+ "content": "<|reserved_special_token_112|>",
965
+ "lstrip": false,
966
+ "normalized": false,
967
+ "rstrip": false,
968
+ "single_word": false,
969
+ "special": true
970
+ },
971
+ "128121": {
972
+ "content": "<|reserved_special_token_113|>",
973
+ "lstrip": false,
974
+ "normalized": false,
975
+ "rstrip": false,
976
+ "single_word": false,
977
+ "special": true
978
+ },
979
+ "128122": {
980
+ "content": "<|reserved_special_token_114|>",
981
+ "lstrip": false,
982
+ "normalized": false,
983
+ "rstrip": false,
984
+ "single_word": false,
985
+ "special": true
986
+ },
987
+ "128123": {
988
+ "content": "<|reserved_special_token_115|>",
989
+ "lstrip": false,
990
+ "normalized": false,
991
+ "rstrip": false,
992
+ "single_word": false,
993
+ "special": true
994
+ },
995
+ "128124": {
996
+ "content": "<|reserved_special_token_116|>",
997
+ "lstrip": false,
998
+ "normalized": false,
999
+ "rstrip": false,
1000
+ "single_word": false,
1001
+ "special": true
1002
+ },
1003
+ "128125": {
1004
+ "content": "<|reserved_special_token_117|>",
1005
+ "lstrip": false,
1006
+ "normalized": false,
1007
+ "rstrip": false,
1008
+ "single_word": false,
1009
+ "special": true
1010
+ },
1011
+ "128126": {
1012
+ "content": "<|reserved_special_token_118|>",
1013
+ "lstrip": false,
1014
+ "normalized": false,
1015
+ "rstrip": false,
1016
+ "single_word": false,
1017
+ "special": true
1018
+ },
1019
+ "128127": {
1020
+ "content": "<|reserved_special_token_119|>",
1021
+ "lstrip": false,
1022
+ "normalized": false,
1023
+ "rstrip": false,
1024
+ "single_word": false,
1025
+ "special": true
1026
+ },
1027
+ "128128": {
1028
+ "content": "<|reserved_special_token_120|>",
1029
+ "lstrip": false,
1030
+ "normalized": false,
1031
+ "rstrip": false,
1032
+ "single_word": false,
1033
+ "special": true
1034
+ },
1035
+ "128129": {
1036
+ "content": "<|reserved_special_token_121|>",
1037
+ "lstrip": false,
1038
+ "normalized": false,
1039
+ "rstrip": false,
1040
+ "single_word": false,
1041
+ "special": true
1042
+ },
1043
+ "128130": {
1044
+ "content": "<|reserved_special_token_122|>",
1045
+ "lstrip": false,
1046
+ "normalized": false,
1047
+ "rstrip": false,
1048
+ "single_word": false,
1049
+ "special": true
1050
+ },
1051
+ "128131": {
1052
+ "content": "<|reserved_special_token_123|>",
1053
+ "lstrip": false,
1054
+ "normalized": false,
1055
+ "rstrip": false,
1056
+ "single_word": false,
1057
+ "special": true
1058
+ },
1059
+ "128132": {
1060
+ "content": "<|reserved_special_token_124|>",
1061
+ "lstrip": false,
1062
+ "normalized": false,
1063
+ "rstrip": false,
1064
+ "single_word": false,
1065
+ "special": true
1066
+ },
1067
+ "128133": {
1068
+ "content": "<|reserved_special_token_125|>",
1069
+ "lstrip": false,
1070
+ "normalized": false,
1071
+ "rstrip": false,
1072
+ "single_word": false,
1073
+ "special": true
1074
+ },
1075
+ "128134": {
1076
+ "content": "<|reserved_special_token_126|>",
1077
+ "lstrip": false,
1078
+ "normalized": false,
1079
+ "rstrip": false,
1080
+ "single_word": false,
1081
+ "special": true
1082
+ },
1083
+ "128135": {
1084
+ "content": "<|reserved_special_token_127|>",
1085
+ "lstrip": false,
1086
+ "normalized": false,
1087
+ "rstrip": false,
1088
+ "single_word": false,
1089
+ "special": true
1090
+ },
1091
+ "128136": {
1092
+ "content": "<|reserved_special_token_128|>",
1093
+ "lstrip": false,
1094
+ "normalized": false,
1095
+ "rstrip": false,
1096
+ "single_word": false,
1097
+ "special": true
1098
+ },
1099
+ "128137": {
1100
+ "content": "<|reserved_special_token_129|>",
1101
+ "lstrip": false,
1102
+ "normalized": false,
1103
+ "rstrip": false,
1104
+ "single_word": false,
1105
+ "special": true
1106
+ },
1107
+ "128138": {
1108
+ "content": "<|reserved_special_token_130|>",
1109
+ "lstrip": false,
1110
+ "normalized": false,
1111
+ "rstrip": false,
1112
+ "single_word": false,
1113
+ "special": true
1114
+ },
1115
+ "128139": {
1116
+ "content": "<|reserved_special_token_131|>",
1117
+ "lstrip": false,
1118
+ "normalized": false,
1119
+ "rstrip": false,
1120
+ "single_word": false,
1121
+ "special": true
1122
+ },
1123
+ "128140": {
1124
+ "content": "<|reserved_special_token_132|>",
1125
+ "lstrip": false,
1126
+ "normalized": false,
1127
+ "rstrip": false,
1128
+ "single_word": false,
1129
+ "special": true
1130
+ },
1131
+ "128141": {
1132
+ "content": "<|reserved_special_token_133|>",
1133
+ "lstrip": false,
1134
+ "normalized": false,
1135
+ "rstrip": false,
1136
+ "single_word": false,
1137
+ "special": true
1138
+ },
1139
+ "128142": {
1140
+ "content": "<|reserved_special_token_134|>",
1141
+ "lstrip": false,
1142
+ "normalized": false,
1143
+ "rstrip": false,
1144
+ "single_word": false,
1145
+ "special": true
1146
+ },
1147
+ "128143": {
1148
+ "content": "<|reserved_special_token_135|>",
1149
+ "lstrip": false,
1150
+ "normalized": false,
1151
+ "rstrip": false,
1152
+ "single_word": false,
1153
+ "special": true
1154
+ },
1155
+ "128144": {
1156
+ "content": "<|reserved_special_token_136|>",
1157
+ "lstrip": false,
1158
+ "normalized": false,
1159
+ "rstrip": false,
1160
+ "single_word": false,
1161
+ "special": true
1162
+ },
1163
+ "128145": {
1164
+ "content": "<|reserved_special_token_137|>",
1165
+ "lstrip": false,
1166
+ "normalized": false,
1167
+ "rstrip": false,
1168
+ "single_word": false,
1169
+ "special": true
1170
+ },
1171
+ "128146": {
1172
+ "content": "<|reserved_special_token_138|>",
1173
+ "lstrip": false,
1174
+ "normalized": false,
1175
+ "rstrip": false,
1176
+ "single_word": false,
1177
+ "special": true
1178
+ },
1179
+ "128147": {
1180
+ "content": "<|reserved_special_token_139|>",
1181
+ "lstrip": false,
1182
+ "normalized": false,
1183
+ "rstrip": false,
1184
+ "single_word": false,
1185
+ "special": true
1186
+ },
1187
+ "128148": {
1188
+ "content": "<|reserved_special_token_140|>",
1189
+ "lstrip": false,
1190
+ "normalized": false,
1191
+ "rstrip": false,
1192
+ "single_word": false,
1193
+ "special": true
1194
+ },
1195
+ "128149": {
1196
+ "content": "<|reserved_special_token_141|>",
1197
+ "lstrip": false,
1198
+ "normalized": false,
1199
+ "rstrip": false,
1200
+ "single_word": false,
1201
+ "special": true
1202
+ },
1203
+ "128150": {
1204
+ "content": "<|reserved_special_token_142|>",
1205
+ "lstrip": false,
1206
+ "normalized": false,
1207
+ "rstrip": false,
1208
+ "single_word": false,
1209
+ "special": true
1210
+ },
1211
+ "128151": {
1212
+ "content": "<|reserved_special_token_143|>",
1213
+ "lstrip": false,
1214
+ "normalized": false,
1215
+ "rstrip": false,
1216
+ "single_word": false,
1217
+ "special": true
1218
+ },
1219
+ "128152": {
1220
+ "content": "<|reserved_special_token_144|>",
1221
+ "lstrip": false,
1222
+ "normalized": false,
1223
+ "rstrip": false,
1224
+ "single_word": false,
1225
+ "special": true
1226
+ },
1227
+ "128153": {
1228
+ "content": "<|reserved_special_token_145|>",
1229
+ "lstrip": false,
1230
+ "normalized": false,
1231
+ "rstrip": false,
1232
+ "single_word": false,
1233
+ "special": true
1234
+ },
1235
+ "128154": {
1236
+ "content": "<|reserved_special_token_146|>",
1237
+ "lstrip": false,
1238
+ "normalized": false,
1239
+ "rstrip": false,
1240
+ "single_word": false,
1241
+ "special": true
1242
+ },
1243
+ "128155": {
1244
+ "content": "<|reserved_special_token_147|>",
1245
+ "lstrip": false,
1246
+ "normalized": false,
1247
+ "rstrip": false,
1248
+ "single_word": false,
1249
+ "special": true
1250
+ },
1251
+ "128156": {
1252
+ "content": "<|reserved_special_token_148|>",
1253
+ "lstrip": false,
1254
+ "normalized": false,
1255
+ "rstrip": false,
1256
+ "single_word": false,
1257
+ "special": true
1258
+ },
1259
+ "128157": {
1260
+ "content": "<|reserved_special_token_149|>",
1261
+ "lstrip": false,
1262
+ "normalized": false,
1263
+ "rstrip": false,
1264
+ "single_word": false,
1265
+ "special": true
1266
+ },
1267
+ "128158": {
1268
+ "content": "<|reserved_special_token_150|>",
1269
+ "lstrip": false,
1270
+ "normalized": false,
1271
+ "rstrip": false,
1272
+ "single_word": false,
1273
+ "special": true
1274
+ },
1275
+ "128159": {
1276
+ "content": "<|reserved_special_token_151|>",
1277
+ "lstrip": false,
1278
+ "normalized": false,
1279
+ "rstrip": false,
1280
+ "single_word": false,
1281
+ "special": true
1282
+ },
1283
+ "128160": {
1284
+ "content": "<|reserved_special_token_152|>",
1285
+ "lstrip": false,
1286
+ "normalized": false,
1287
+ "rstrip": false,
1288
+ "single_word": false,
1289
+ "special": true
1290
+ },
1291
+ "128161": {
1292
+ "content": "<|reserved_special_token_153|>",
1293
+ "lstrip": false,
1294
+ "normalized": false,
1295
+ "rstrip": false,
1296
+ "single_word": false,
1297
+ "special": true
1298
+ },
1299
+ "128162": {
1300
+ "content": "<|reserved_special_token_154|>",
1301
+ "lstrip": false,
1302
+ "normalized": false,
1303
+ "rstrip": false,
1304
+ "single_word": false,
1305
+ "special": true
1306
+ },
1307
+ "128163": {
1308
+ "content": "<|reserved_special_token_155|>",
1309
+ "lstrip": false,
1310
+ "normalized": false,
1311
+ "rstrip": false,
1312
+ "single_word": false,
1313
+ "special": true
1314
+ },
1315
+ "128164": {
1316
+ "content": "<|reserved_special_token_156|>",
1317
+ "lstrip": false,
1318
+ "normalized": false,
1319
+ "rstrip": false,
1320
+ "single_word": false,
1321
+ "special": true
1322
+ },
1323
+ "128165": {
1324
+ "content": "<|reserved_special_token_157|>",
1325
+ "lstrip": false,
1326
+ "normalized": false,
1327
+ "rstrip": false,
1328
+ "single_word": false,
1329
+ "special": true
1330
+ },
1331
+ "128166": {
1332
+ "content": "<|reserved_special_token_158|>",
1333
+ "lstrip": false,
1334
+ "normalized": false,
1335
+ "rstrip": false,
1336
+ "single_word": false,
1337
+ "special": true
1338
+ },
1339
+ "128167": {
1340
+ "content": "<|reserved_special_token_159|>",
1341
+ "lstrip": false,
1342
+ "normalized": false,
1343
+ "rstrip": false,
1344
+ "single_word": false,
1345
+ "special": true
1346
+ },
1347
+ "128168": {
1348
+ "content": "<|reserved_special_token_160|>",
1349
+ "lstrip": false,
1350
+ "normalized": false,
1351
+ "rstrip": false,
1352
+ "single_word": false,
1353
+ "special": true
1354
+ },
1355
+ "128169": {
1356
+ "content": "<|reserved_special_token_161|>",
1357
+ "lstrip": false,
1358
+ "normalized": false,
1359
+ "rstrip": false,
1360
+ "single_word": false,
1361
+ "special": true
1362
+ },
1363
+ "128170": {
1364
+ "content": "<|reserved_special_token_162|>",
1365
+ "lstrip": false,
1366
+ "normalized": false,
1367
+ "rstrip": false,
1368
+ "single_word": false,
1369
+ "special": true
1370
+ },
1371
+ "128171": {
1372
+ "content": "<|reserved_special_token_163|>",
1373
+ "lstrip": false,
1374
+ "normalized": false,
1375
+ "rstrip": false,
1376
+ "single_word": false,
1377
+ "special": true
1378
+ },
1379
+ "128172": {
1380
+ "content": "<|reserved_special_token_164|>",
1381
+ "lstrip": false,
1382
+ "normalized": false,
1383
+ "rstrip": false,
1384
+ "single_word": false,
1385
+ "special": true
1386
+ },
1387
+ "128173": {
1388
+ "content": "<|reserved_special_token_165|>",
1389
+ "lstrip": false,
1390
+ "normalized": false,
1391
+ "rstrip": false,
1392
+ "single_word": false,
1393
+ "special": true
1394
+ },
1395
+ "128174": {
1396
+ "content": "<|reserved_special_token_166|>",
1397
+ "lstrip": false,
1398
+ "normalized": false,
1399
+ "rstrip": false,
1400
+ "single_word": false,
1401
+ "special": true
1402
+ },
1403
+ "128175": {
1404
+ "content": "<|reserved_special_token_167|>",
1405
+ "lstrip": false,
1406
+ "normalized": false,
1407
+ "rstrip": false,
1408
+ "single_word": false,
1409
+ "special": true
1410
+ },
1411
+ "128176": {
1412
+ "content": "<|reserved_special_token_168|>",
1413
+ "lstrip": false,
1414
+ "normalized": false,
1415
+ "rstrip": false,
1416
+ "single_word": false,
1417
+ "special": true
1418
+ },
1419
+ "128177": {
1420
+ "content": "<|reserved_special_token_169|>",
1421
+ "lstrip": false,
1422
+ "normalized": false,
1423
+ "rstrip": false,
1424
+ "single_word": false,
1425
+ "special": true
1426
+ },
1427
+ "128178": {
1428
+ "content": "<|reserved_special_token_170|>",
1429
+ "lstrip": false,
1430
+ "normalized": false,
1431
+ "rstrip": false,
1432
+ "single_word": false,
1433
+ "special": true
1434
+ },
1435
+ "128179": {
1436
+ "content": "<|reserved_special_token_171|>",
1437
+ "lstrip": false,
1438
+ "normalized": false,
1439
+ "rstrip": false,
1440
+ "single_word": false,
1441
+ "special": true
1442
+ },
1443
+ "128180": {
1444
+ "content": "<|reserved_special_token_172|>",
1445
+ "lstrip": false,
1446
+ "normalized": false,
1447
+ "rstrip": false,
1448
+ "single_word": false,
1449
+ "special": true
1450
+ },
1451
+ "128181": {
1452
+ "content": "<|reserved_special_token_173|>",
1453
+ "lstrip": false,
1454
+ "normalized": false,
1455
+ "rstrip": false,
1456
+ "single_word": false,
1457
+ "special": true
1458
+ },
1459
+ "128182": {
1460
+ "content": "<|reserved_special_token_174|>",
1461
+ "lstrip": false,
1462
+ "normalized": false,
1463
+ "rstrip": false,
1464
+ "single_word": false,
1465
+ "special": true
1466
+ },
1467
+ "128183": {
1468
+ "content": "<|reserved_special_token_175|>",
1469
+ "lstrip": false,
1470
+ "normalized": false,
1471
+ "rstrip": false,
1472
+ "single_word": false,
1473
+ "special": true
1474
+ },
1475
+ "128184": {
1476
+ "content": "<|reserved_special_token_176|>",
1477
+ "lstrip": false,
1478
+ "normalized": false,
1479
+ "rstrip": false,
1480
+ "single_word": false,
1481
+ "special": true
1482
+ },
1483
+ "128185": {
1484
+ "content": "<|reserved_special_token_177|>",
1485
+ "lstrip": false,
1486
+ "normalized": false,
1487
+ "rstrip": false,
1488
+ "single_word": false,
1489
+ "special": true
1490
+ },
1491
+ "128186": {
1492
+ "content": "<|reserved_special_token_178|>",
1493
+ "lstrip": false,
1494
+ "normalized": false,
1495
+ "rstrip": false,
1496
+ "single_word": false,
1497
+ "special": true
1498
+ },
1499
+ "128187": {
1500
+ "content": "<|reserved_special_token_179|>",
1501
+ "lstrip": false,
1502
+ "normalized": false,
1503
+ "rstrip": false,
1504
+ "single_word": false,
1505
+ "special": true
1506
+ },
1507
+ "128188": {
1508
+ "content": "<|reserved_special_token_180|>",
1509
+ "lstrip": false,
1510
+ "normalized": false,
1511
+ "rstrip": false,
1512
+ "single_word": false,
1513
+ "special": true
1514
+ },
1515
+ "128189": {
1516
+ "content": "<|reserved_special_token_181|>",
1517
+ "lstrip": false,
1518
+ "normalized": false,
1519
+ "rstrip": false,
1520
+ "single_word": false,
1521
+ "special": true
1522
+ },
1523
+ "128190": {
1524
+ "content": "<|reserved_special_token_182|>",
1525
+ "lstrip": false,
1526
+ "normalized": false,
1527
+ "rstrip": false,
1528
+ "single_word": false,
1529
+ "special": true
1530
+ },
1531
+ "128191": {
1532
+ "content": "<|reserved_special_token_183|>",
1533
+ "lstrip": false,
1534
+ "normalized": false,
1535
+ "rstrip": false,
1536
+ "single_word": false,
1537
+ "special": true
1538
+ },
1539
+ "128192": {
1540
+ "content": "<|reserved_special_token_184|>",
1541
+ "lstrip": false,
1542
+ "normalized": false,
1543
+ "rstrip": false,
1544
+ "single_word": false,
1545
+ "special": true
1546
+ },
1547
+ "128193": {
1548
+ "content": "<|reserved_special_token_185|>",
1549
+ "lstrip": false,
1550
+ "normalized": false,
1551
+ "rstrip": false,
1552
+ "single_word": false,
1553
+ "special": true
1554
+ },
1555
+ "128194": {
1556
+ "content": "<|reserved_special_token_186|>",
1557
+ "lstrip": false,
1558
+ "normalized": false,
1559
+ "rstrip": false,
1560
+ "single_word": false,
1561
+ "special": true
1562
+ },
1563
+ "128195": {
1564
+ "content": "<|reserved_special_token_187|>",
1565
+ "lstrip": false,
1566
+ "normalized": false,
1567
+ "rstrip": false,
1568
+ "single_word": false,
1569
+ "special": true
1570
+ },
1571
+ "128196": {
1572
+ "content": "<|reserved_special_token_188|>",
1573
+ "lstrip": false,
1574
+ "normalized": false,
1575
+ "rstrip": false,
1576
+ "single_word": false,
1577
+ "special": true
1578
+ },
1579
+ "128197": {
1580
+ "content": "<|reserved_special_token_189|>",
1581
+ "lstrip": false,
1582
+ "normalized": false,
1583
+ "rstrip": false,
1584
+ "single_word": false,
1585
+ "special": true
1586
+ },
1587
+ "128198": {
1588
+ "content": "<|reserved_special_token_190|>",
1589
+ "lstrip": false,
1590
+ "normalized": false,
1591
+ "rstrip": false,
1592
+ "single_word": false,
1593
+ "special": true
1594
+ },
1595
+ "128199": {
1596
+ "content": "<|reserved_special_token_191|>",
1597
+ "lstrip": false,
1598
+ "normalized": false,
1599
+ "rstrip": false,
1600
+ "single_word": false,
1601
+ "special": true
1602
+ },
1603
+ "128200": {
1604
+ "content": "<|reserved_special_token_192|>",
1605
+ "lstrip": false,
1606
+ "normalized": false,
1607
+ "rstrip": false,
1608
+ "single_word": false,
1609
+ "special": true
1610
+ },
1611
+ "128201": {
1612
+ "content": "<|reserved_special_token_193|>",
1613
+ "lstrip": false,
1614
+ "normalized": false,
1615
+ "rstrip": false,
1616
+ "single_word": false,
1617
+ "special": true
1618
+ },
1619
+ "128202": {
1620
+ "content": "<|reserved_special_token_194|>",
1621
+ "lstrip": false,
1622
+ "normalized": false,
1623
+ "rstrip": false,
1624
+ "single_word": false,
1625
+ "special": true
1626
+ },
1627
+ "128203": {
1628
+ "content": "<|reserved_special_token_195|>",
1629
+ "lstrip": false,
1630
+ "normalized": false,
1631
+ "rstrip": false,
1632
+ "single_word": false,
1633
+ "special": true
1634
+ },
1635
+ "128204": {
1636
+ "content": "<|reserved_special_token_196|>",
1637
+ "lstrip": false,
1638
+ "normalized": false,
1639
+ "rstrip": false,
1640
+ "single_word": false,
1641
+ "special": true
1642
+ },
1643
+ "128205": {
1644
+ "content": "<|reserved_special_token_197|>",
1645
+ "lstrip": false,
1646
+ "normalized": false,
1647
+ "rstrip": false,
1648
+ "single_word": false,
1649
+ "special": true
1650
+ },
1651
+ "128206": {
1652
+ "content": "<|reserved_special_token_198|>",
1653
+ "lstrip": false,
1654
+ "normalized": false,
1655
+ "rstrip": false,
1656
+ "single_word": false,
1657
+ "special": true
1658
+ },
1659
+ "128207": {
1660
+ "content": "<|reserved_special_token_199|>",
1661
+ "lstrip": false,
1662
+ "normalized": false,
1663
+ "rstrip": false,
1664
+ "single_word": false,
1665
+ "special": true
1666
+ },
1667
+ "128208": {
1668
+ "content": "<|reserved_special_token_200|>",
1669
+ "lstrip": false,
1670
+ "normalized": false,
1671
+ "rstrip": false,
1672
+ "single_word": false,
1673
+ "special": true
1674
+ },
1675
+ "128209": {
1676
+ "content": "<|reserved_special_token_201|>",
1677
+ "lstrip": false,
1678
+ "normalized": false,
1679
+ "rstrip": false,
1680
+ "single_word": false,
1681
+ "special": true
1682
+ },
1683
+ "128210": {
1684
+ "content": "<|reserved_special_token_202|>",
1685
+ "lstrip": false,
1686
+ "normalized": false,
1687
+ "rstrip": false,
1688
+ "single_word": false,
1689
+ "special": true
1690
+ },
1691
+ "128211": {
1692
+ "content": "<|reserved_special_token_203|>",
1693
+ "lstrip": false,
1694
+ "normalized": false,
1695
+ "rstrip": false,
1696
+ "single_word": false,
1697
+ "special": true
1698
+ },
1699
+ "128212": {
1700
+ "content": "<|reserved_special_token_204|>",
1701
+ "lstrip": false,
1702
+ "normalized": false,
1703
+ "rstrip": false,
1704
+ "single_word": false,
1705
+ "special": true
1706
+ },
1707
+ "128213": {
1708
+ "content": "<|reserved_special_token_205|>",
1709
+ "lstrip": false,
1710
+ "normalized": false,
1711
+ "rstrip": false,
1712
+ "single_word": false,
1713
+ "special": true
1714
+ },
1715
+ "128214": {
1716
+ "content": "<|reserved_special_token_206|>",
1717
+ "lstrip": false,
1718
+ "normalized": false,
1719
+ "rstrip": false,
1720
+ "single_word": false,
1721
+ "special": true
1722
+ },
1723
+ "128215": {
1724
+ "content": "<|reserved_special_token_207|>",
1725
+ "lstrip": false,
1726
+ "normalized": false,
1727
+ "rstrip": false,
1728
+ "single_word": false,
1729
+ "special": true
1730
+ },
1731
+ "128216": {
1732
+ "content": "<|reserved_special_token_208|>",
1733
+ "lstrip": false,
1734
+ "normalized": false,
1735
+ "rstrip": false,
1736
+ "single_word": false,
1737
+ "special": true
1738
+ },
1739
+ "128217": {
1740
+ "content": "<|reserved_special_token_209|>",
1741
+ "lstrip": false,
1742
+ "normalized": false,
1743
+ "rstrip": false,
1744
+ "single_word": false,
1745
+ "special": true
1746
+ },
1747
+ "128218": {
1748
+ "content": "<|reserved_special_token_210|>",
1749
+ "lstrip": false,
1750
+ "normalized": false,
1751
+ "rstrip": false,
1752
+ "single_word": false,
1753
+ "special": true
1754
+ },
1755
+ "128219": {
1756
+ "content": "<|reserved_special_token_211|>",
1757
+ "lstrip": false,
1758
+ "normalized": false,
1759
+ "rstrip": false,
1760
+ "single_word": false,
1761
+ "special": true
1762
+ },
1763
+ "128220": {
1764
+ "content": "<|reserved_special_token_212|>",
1765
+ "lstrip": false,
1766
+ "normalized": false,
1767
+ "rstrip": false,
1768
+ "single_word": false,
1769
+ "special": true
1770
+ },
1771
+ "128221": {
1772
+ "content": "<|reserved_special_token_213|>",
1773
+ "lstrip": false,
1774
+ "normalized": false,
1775
+ "rstrip": false,
1776
+ "single_word": false,
1777
+ "special": true
1778
+ },
1779
+ "128222": {
1780
+ "content": "<|reserved_special_token_214|>",
1781
+ "lstrip": false,
1782
+ "normalized": false,
1783
+ "rstrip": false,
1784
+ "single_word": false,
1785
+ "special": true
1786
+ },
1787
+ "128223": {
1788
+ "content": "<|reserved_special_token_215|>",
1789
+ "lstrip": false,
1790
+ "normalized": false,
1791
+ "rstrip": false,
1792
+ "single_word": false,
1793
+ "special": true
1794
+ },
1795
+ "128224": {
1796
+ "content": "<|reserved_special_token_216|>",
1797
+ "lstrip": false,
1798
+ "normalized": false,
1799
+ "rstrip": false,
1800
+ "single_word": false,
1801
+ "special": true
1802
+ },
1803
+ "128225": {
1804
+ "content": "<|reserved_special_token_217|>",
1805
+ "lstrip": false,
1806
+ "normalized": false,
1807
+ "rstrip": false,
1808
+ "single_word": false,
1809
+ "special": true
1810
+ },
1811
+ "128226": {
1812
+ "content": "<|reserved_special_token_218|>",
1813
+ "lstrip": false,
1814
+ "normalized": false,
1815
+ "rstrip": false,
1816
+ "single_word": false,
1817
+ "special": true
1818
+ },
1819
+ "128227": {
1820
+ "content": "<|reserved_special_token_219|>",
1821
+ "lstrip": false,
1822
+ "normalized": false,
1823
+ "rstrip": false,
1824
+ "single_word": false,
1825
+ "special": true
1826
+ },
1827
+ "128228": {
1828
+ "content": "<|reserved_special_token_220|>",
1829
+ "lstrip": false,
1830
+ "normalized": false,
1831
+ "rstrip": false,
1832
+ "single_word": false,
1833
+ "special": true
1834
+ },
1835
+ "128229": {
1836
+ "content": "<|reserved_special_token_221|>",
1837
+ "lstrip": false,
1838
+ "normalized": false,
1839
+ "rstrip": false,
1840
+ "single_word": false,
1841
+ "special": true
1842
+ },
1843
+ "128230": {
1844
+ "content": "<|reserved_special_token_222|>",
1845
+ "lstrip": false,
1846
+ "normalized": false,
1847
+ "rstrip": false,
1848
+ "single_word": false,
1849
+ "special": true
1850
+ },
1851
+ "128231": {
1852
+ "content": "<|reserved_special_token_223|>",
1853
+ "lstrip": false,
1854
+ "normalized": false,
1855
+ "rstrip": false,
1856
+ "single_word": false,
1857
+ "special": true
1858
+ },
1859
+ "128232": {
1860
+ "content": "<|reserved_special_token_224|>",
1861
+ "lstrip": false,
1862
+ "normalized": false,
1863
+ "rstrip": false,
1864
+ "single_word": false,
1865
+ "special": true
1866
+ },
1867
+ "128233": {
1868
+ "content": "<|reserved_special_token_225|>",
1869
+ "lstrip": false,
1870
+ "normalized": false,
1871
+ "rstrip": false,
1872
+ "single_word": false,
1873
+ "special": true
1874
+ },
1875
+ "128234": {
1876
+ "content": "<|reserved_special_token_226|>",
1877
+ "lstrip": false,
1878
+ "normalized": false,
1879
+ "rstrip": false,
1880
+ "single_word": false,
1881
+ "special": true
1882
+ },
1883
+ "128235": {
1884
+ "content": "<|reserved_special_token_227|>",
1885
+ "lstrip": false,
1886
+ "normalized": false,
1887
+ "rstrip": false,
1888
+ "single_word": false,
1889
+ "special": true
1890
+ },
1891
+ "128236": {
1892
+ "content": "<|reserved_special_token_228|>",
1893
+ "lstrip": false,
1894
+ "normalized": false,
1895
+ "rstrip": false,
1896
+ "single_word": false,
1897
+ "special": true
1898
+ },
1899
+ "128237": {
1900
+ "content": "<|reserved_special_token_229|>",
1901
+ "lstrip": false,
1902
+ "normalized": false,
1903
+ "rstrip": false,
1904
+ "single_word": false,
1905
+ "special": true
1906
+ },
1907
+ "128238": {
1908
+ "content": "<|reserved_special_token_230|>",
1909
+ "lstrip": false,
1910
+ "normalized": false,
1911
+ "rstrip": false,
1912
+ "single_word": false,
1913
+ "special": true
1914
+ },
1915
+ "128239": {
1916
+ "content": "<|reserved_special_token_231|>",
1917
+ "lstrip": false,
1918
+ "normalized": false,
1919
+ "rstrip": false,
1920
+ "single_word": false,
1921
+ "special": true
1922
+ },
1923
+ "128240": {
1924
+ "content": "<|reserved_special_token_232|>",
1925
+ "lstrip": false,
1926
+ "normalized": false,
1927
+ "rstrip": false,
1928
+ "single_word": false,
1929
+ "special": true
1930
+ },
1931
+ "128241": {
1932
+ "content": "<|reserved_special_token_233|>",
1933
+ "lstrip": false,
1934
+ "normalized": false,
1935
+ "rstrip": false,
1936
+ "single_word": false,
1937
+ "special": true
1938
+ },
1939
+ "128242": {
1940
+ "content": "<|reserved_special_token_234|>",
1941
+ "lstrip": false,
1942
+ "normalized": false,
1943
+ "rstrip": false,
1944
+ "single_word": false,
1945
+ "special": true
1946
+ },
1947
+ "128243": {
1948
+ "content": "<|reserved_special_token_235|>",
1949
+ "lstrip": false,
1950
+ "normalized": false,
1951
+ "rstrip": false,
1952
+ "single_word": false,
1953
+ "special": true
1954
+ },
1955
+ "128244": {
1956
+ "content": "<|reserved_special_token_236|>",
1957
+ "lstrip": false,
1958
+ "normalized": false,
1959
+ "rstrip": false,
1960
+ "single_word": false,
1961
+ "special": true
1962
+ },
1963
+ "128245": {
1964
+ "content": "<|reserved_special_token_237|>",
1965
+ "lstrip": false,
1966
+ "normalized": false,
1967
+ "rstrip": false,
1968
+ "single_word": false,
1969
+ "special": true
1970
+ },
1971
+ "128246": {
1972
+ "content": "<|reserved_special_token_238|>",
1973
+ "lstrip": false,
1974
+ "normalized": false,
1975
+ "rstrip": false,
1976
+ "single_word": false,
1977
+ "special": true
1978
+ },
1979
+ "128247": {
1980
+ "content": "<|reserved_special_token_239|>",
1981
+ "lstrip": false,
1982
+ "normalized": false,
1983
+ "rstrip": false,
1984
+ "single_word": false,
1985
+ "special": true
1986
+ },
1987
+ "128248": {
1988
+ "content": "<|reserved_special_token_240|>",
1989
+ "lstrip": false,
1990
+ "normalized": false,
1991
+ "rstrip": false,
1992
+ "single_word": false,
1993
+ "special": true
1994
+ },
1995
+ "128249": {
1996
+ "content": "<|reserved_special_token_241|>",
1997
+ "lstrip": false,
1998
+ "normalized": false,
1999
+ "rstrip": false,
2000
+ "single_word": false,
2001
+ "special": true
2002
+ },
2003
+ "128250": {
2004
+ "content": "<|reserved_special_token_242|>",
2005
+ "lstrip": false,
2006
+ "normalized": false,
2007
+ "rstrip": false,
2008
+ "single_word": false,
2009
+ "special": true
2010
+ },
2011
+ "128251": {
2012
+ "content": "<|reserved_special_token_243|>",
2013
+ "lstrip": false,
2014
+ "normalized": false,
2015
+ "rstrip": false,
2016
+ "single_word": false,
2017
+ "special": true
2018
+ },
2019
+ "128252": {
2020
+ "content": "<|reserved_special_token_244|>",
2021
+ "lstrip": false,
2022
+ "normalized": false,
2023
+ "rstrip": false,
2024
+ "single_word": false,
2025
+ "special": true
2026
+ },
2027
+ "128253": {
2028
+ "content": "<|reserved_special_token_245|>",
2029
+ "lstrip": false,
2030
+ "normalized": false,
2031
+ "rstrip": false,
2032
+ "single_word": false,
2033
+ "special": true
2034
+ },
2035
+ "128254": {
2036
+ "content": "<|reserved_special_token_246|>",
2037
+ "lstrip": false,
2038
+ "normalized": false,
2039
+ "rstrip": false,
2040
+ "single_word": false,
2041
+ "special": true
2042
+ },
2043
+ "128255": {
2044
+ "content": "<|reserved_special_token_247|>",
2045
+ "lstrip": false,
2046
+ "normalized": false,
2047
+ "rstrip": false,
2048
+ "single_word": false,
2049
+ "special": true
2050
+ }
2051
+ },
2052
+ "bos_token": "<|begin_of_text|>",
2053
+ "chat_template": "{{- bos_token }}\n{%- if custom_tools is defined %}\n {%- set tools = custom_tools %}\n{%- endif %}\n{%- if not tools_in_user_message is defined %}\n {%- set tools_in_user_message = true %}\n{%- endif %}\n{%- if not date_string is defined %}\n {%- if strftime_now is defined %}\n {%- set date_string = strftime_now(\"%d %b %Y\") %}\n {%- else %}\n {%- set date_string = \"26 Jul 2024\" %}\n {%- endif %}\n{%- endif %}\n{%- if not tools is defined %}\n {%- set tools = none %}\n{%- endif %}\n\n{#- This block extracts the system message, so we can slot it into the right place. #}\n{%- if messages[0]['role'] == 'system' %}\n {%- set system_message = messages[0]['content']|trim %}\n {%- set messages = messages[1:] %}\n{%- else %}\n {%- set system_message = \"\" %}\n{%- endif %}\n\n{#- System message #}\n{{- \"<|start_header_id|>system<|end_header_id|>\\n\\n\" }}\n{%- if tools is not none %}\n {{- \"Environment: ipython\\n\" }}\n{%- endif %}\n{{- \"Cutting Knowledge Date: December 2023\\n\" }}\n{{- \"Today Date: \" + date_string + \"\\n\\n\" }}\n{%- if tools is not none and not tools_in_user_message %}\n {{- \"You have access to the following functions. To call a function, please respond with JSON for a function call.\" }}\n {{- 'Respond in the format {\"name\": function name, \"parameters\": dictionary of argument name and its value}.' }}\n {{- \"Do not use variables.\\n\\n\" }}\n {%- for t in tools %}\n {{- t | tojson(indent=4) }}\n {{- \"\\n\\n\" }}\n {%- endfor %}\n{%- endif %}\n{{- system_message }}\n{{- \"<|eot_id|>\" }}\n\n{#- Custom tools are passed in a user message with some extra guidance #}\n{%- if tools_in_user_message and not tools is none %}\n {#- Extract the first user message so we can plug it in here #}\n {%- if messages | length != 0 %}\n {%- set first_user_message = messages[0]['content']|trim %}\n {%- set messages = messages[1:] %}\n {%- else %}\n {{- raise_exception(\"Cannot put tools in the first user message when there's no first user message!\") }}\n{%- endif %}\n {{- '<|start_header_id|>user<|end_header_id|>\\n\\n' -}}\n {{- \"Given the following functions, please respond with a JSON for a function call \" }}\n {{- \"with its proper arguments that best answers the given prompt.\\n\\n\" }}\n {{- 'Respond in the format {\"name\": function name, \"parameters\": dictionary of argument name and its value}.' }}\n {{- \"Do not use variables.\\n\\n\" }}\n {%- for t in tools %}\n {{- t | tojson(indent=4) }}\n {{- \"\\n\\n\" }}\n {%- endfor %}\n {{- first_user_message + \"<|eot_id|>\"}}\n{%- endif %}\n\n{%- for message in messages %}\n {%- if not (message.role == 'ipython' or message.role == 'tool' or 'tool_calls' in message) %}\n {{- '<|start_header_id|>' + message['role'] + '<|end_header_id|>\\n\\n'+ message['content'] | trim + '<|eot_id|>' }}\n {%- elif 'tool_calls' in message %}\n {%- if not message.tool_calls|length == 1 %}\n {{- raise_exception(\"This model only supports single tool-calls at once!\") }}\n {%- endif %}\n {%- set tool_call = message.tool_calls[0].function %}\n {{- '<|start_header_id|>assistant<|end_header_id|>\\n\\n' -}}\n {{- '{\"name\": \"' + tool_call.name + '\", ' }}\n {{- '\"parameters\": ' }}\n {{- tool_call.arguments | tojson }}\n {{- \"}\" }}\n {{- \"<|eot_id|>\" }}\n {%- elif message.role == \"tool\" or message.role == \"ipython\" %}\n {{- \"<|start_header_id|>ipython<|end_header_id|>\\n\\n\" }}\n {%- if message.content is mapping or message.content is iterable %}\n {{- message.content | tojson }}\n {%- else %}\n {{- message.content }}\n {%- endif %}\n {{- \"<|eot_id|>\" }}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|start_header_id|>assistant<|end_header_id|>\\n\\n' }}\n{%- endif %}\n",
2054
+ "clean_up_tokenization_spaces": true,
2055
+ "eos_token": "<|eot_id|>",
2056
+ "model_input_names": [
2057
+ "input_ids",
2058
+ "attention_mask"
2059
+ ],
2060
+ "model_max_length": 131072,
2061
+ "tokenizer_class": "PreTrainedTokenizerFast"
2062
+ }