Upload folder using huggingface_hub
Browse files- README.md +203 -2
- chat_template.jinja +81 -42
- config.json +28 -26
- generation_config.json +8 -10
- model-00001-of-00002.safetensors +3 -0
- model-00002-of-00002.safetensors +3 -0
- model.safetensors.index.json +256 -942
- special_tokens_map.json +4 -19
- tokenizer.json +2 -2
- tokenizer_config.json +1932 -77
README.md
CHANGED
|
@@ -1,7 +1,208 @@
|
|
| 1 |
---
|
| 2 |
-
language:
|
| 3 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 4 |
library_name: mlx
|
|
|
|
| 5 |
tags:
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 6 |
- mlx
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 7 |
---
|
|
|
|
| 1 |
---
|
| 2 |
+
language:
|
| 3 |
+
- en
|
| 4 |
+
- de
|
| 5 |
+
- fr
|
| 6 |
+
- it
|
| 7 |
+
- pt
|
| 8 |
+
- hi
|
| 9 |
+
- es
|
| 10 |
+
- th
|
| 11 |
library_name: mlx
|
| 12 |
+
pipeline_tag: text-generation
|
| 13 |
tags:
|
| 14 |
+
- facebook
|
| 15 |
+
- meta
|
| 16 |
+
- pytorch
|
| 17 |
+
- llama
|
| 18 |
+
- llama-3
|
| 19 |
- mlx
|
| 20 |
+
license: llama3.2
|
| 21 |
+
extra_gated_prompt: "### LLAMA 3.2 COMMUNITY LICENSE AGREEMENT\n\nLlama 3.2 Version\
|
| 22 |
+
\ Release Date: September 25, 2024\n\n“Agreement” means the terms and conditions\
|
| 23 |
+
\ for use, reproduction, distribution and modification of the Llama Materials set\
|
| 24 |
+
\ forth herein.\n\n“Documentation” means the specifications, manuals and documentation\
|
| 25 |
+
\ accompanying Llama 3.2 distributed by Meta at https://llama.meta.com/doc/overview.\n\
|
| 26 |
+
\n“Licensee” or “you” means you, or your employer or any other person or entity\
|
| 27 |
+
\ (if you are entering into this Agreement on such person or entity’s behalf),\
|
| 28 |
+
\ of the age required under applicable laws, rules or regulations to provide legal\
|
| 29 |
+
\ consent and that has legal authority to bind your employer or such other person\
|
| 30 |
+
\ or entity if you are entering in this Agreement on their behalf.\n\n“Llama 3.2”\
|
| 31 |
+
\ means the foundational large language models and software and algorithms, including\
|
| 32 |
+
\ machine-learning model code, trained model weights, inference-enabling code, training-enabling\
|
| 33 |
+
\ code, fine-tuning enabling code and other elements of the foregoing distributed\
|
| 34 |
+
\ by Meta at https://www.llama.com/llama-downloads.\n\n“Llama Materials” means,\
|
| 35 |
+
\ collectively, Meta’s proprietary Llama 3.2 and Documentation (and any portion\
|
| 36 |
+
\ thereof) made available under this Agreement.\n\n“Meta” or “we” means Meta Platforms\
|
| 37 |
+
\ Ireland Limited (if you are located in or, if you are an entity, your principal\
|
| 38 |
+
\ place of business is in the EEA or Switzerland) and Meta Platforms, Inc. (if\
|
| 39 |
+
\ you are located outside of the EEA or Switzerland). \n\nBy clicking “I Accept”\
|
| 40 |
+
\ below or by using or distributing any portion or element of the Llama Materials,\
|
| 41 |
+
\ you agree to be bound by this Agreement.\n\n1. License Rights and Redistribution.\n\
|
| 42 |
+
a. Grant of Rights. You are granted a non-exclusive, worldwide, non-transferable\
|
| 43 |
+
\ and royalty-free limited license under Meta’s intellectual property or other rights\
|
| 44 |
+
\ owned by Meta embodied in the Llama Materials to use, reproduce, distribute,\
|
| 45 |
+
\ copy, create derivative works of, and make modifications to the Llama Materials.\
|
| 46 |
+
\ \nb. Redistribution and Use. \ni. If you distribute or make available the Llama\
|
| 47 |
+
\ Materials (or any derivative works thereof), or a product or service (including\
|
| 48 |
+
\ another AI model) that contains any of them, you shall (A) provide a copy of this\
|
| 49 |
+
\ Agreement with any such Llama Materials; and (B) prominently display “Built with\
|
| 50 |
+
\ Llama” on a related website, user interface, blogpost, about page, or product\
|
| 51 |
+
\ documentation. If you use the Llama Materials or any outputs or results of the\
|
| 52 |
+
\ Llama Materials to create, train, fine tune, or otherwise improve an AI model,\
|
| 53 |
+
\ which is distributed or made available, you shall also include “Llama” at the\
|
| 54 |
+
\ beginning of any such AI model name.\nii. If you receive Llama Materials, or any\
|
| 55 |
+
\ derivative works thereof, from a Licensee as part of an integrated end user product,\
|
| 56 |
+
\ then Section 2 of this Agreement will not apply to you. \niii. You must retain\
|
| 57 |
+
\ in all copies of the Llama Materials that you distribute the following attribution\
|
| 58 |
+
\ notice within a “Notice” text file distributed as a part of such copies: “Llama\
|
| 59 |
+
\ 3.2 is licensed under the Llama 3.2 Community License, Copyright © Meta Platforms,\
|
| 60 |
+
\ Inc. All Rights Reserved.”\niv. Your use of the Llama Materials must comply with\
|
| 61 |
+
\ applicable laws and regulations (including trade compliance laws and regulations)\
|
| 62 |
+
\ and adhere to the Acceptable Use Policy for the Llama Materials (available at\
|
| 63 |
+
\ https://www.llama.com/llama3_2/use-policy), which is hereby incorporated by reference\
|
| 64 |
+
\ into this Agreement.\n \n2. Additional Commercial Terms. If, on the Llama 3.2\
|
| 65 |
+
\ version release date, the monthly active users of the products or services made\
|
| 66 |
+
\ available by or for Licensee, or Licensee’s affiliates, is greater than 700 million\
|
| 67 |
+
\ monthly active users in the preceding calendar month, you must request a license\
|
| 68 |
+
\ from Meta, which Meta may grant to you in its sole discretion, and you are not\
|
| 69 |
+
\ authorized to exercise any of the rights under this Agreement unless or until\
|
| 70 |
+
\ Meta otherwise expressly grants you such rights.\n3. Disclaimer of Warranty. UNLESS\
|
| 71 |
+
\ REQUIRED BY APPLICABLE LAW, THE LLAMA MATERIALS AND ANY OUTPUT AND RESULTS THEREFROM\
|
| 72 |
+
\ ARE PROVIDED ON AN “AS IS” BASIS, WITHOUT WARRANTIES OF ANY KIND, AND META DISCLAIMS\
|
| 73 |
+
\ ALL WARRANTIES OF ANY KIND, BOTH EXPRESS AND IMPLIED, INCLUDING, WITHOUT LIMITATION,\
|
| 74 |
+
\ ANY WARRANTIES OF TITLE, NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A PARTICULAR\
|
| 75 |
+
\ PURPOSE. YOU ARE SOLELY RESPONSIBLE FOR DETERMINING THE APPROPRIATENESS OF USING\
|
| 76 |
+
\ OR REDISTRIBUTING THE LLAMA MATERIALS AND ASSUME ANY RISKS ASSOCIATED WITH YOUR\
|
| 77 |
+
\ USE OF THE LLAMA MATERIALS AND ANY OUTPUT AND RESULTS.\n4. Limitation of Liability.\
|
| 78 |
+
\ IN NO EVENT WILL META OR ITS AFFILIATES BE LIABLE UNDER ANY THEORY OF LIABILITY,\
|
| 79 |
+
\ WHETHER IN CONTRACT, TORT, NEGLIGENCE, PRODUCTS LIABILITY, OR OTHERWISE, ARISING\
|
| 80 |
+
\ OUT OF THIS AGREEMENT, FOR ANY LOST PROFITS OR ANY INDIRECT, SPECIAL, CONSEQUENTIAL,\
|
| 81 |
+
\ INCIDENTAL, EXEMPLARY OR PUNITIVE DAMAGES, EVEN IF META OR ITS AFFILIATES HAVE\
|
| 82 |
+
\ BEEN ADVISED OF THE POSSIBILITY OF ANY OF THE FOREGOING.\n5. Intellectual Property.\n\
|
| 83 |
+
a. No trademark licenses are granted under this Agreement, and in connection with\
|
| 84 |
+
\ the Llama Materials, neither Meta nor Licensee may use any name or mark owned\
|
| 85 |
+
\ by or associated with the other or any of its affiliates, except as required\
|
| 86 |
+
\ for reasonable and customary use in describing and redistributing the Llama Materials\
|
| 87 |
+
\ or as set forth in this Section 5(a). Meta hereby grants you a license to use\
|
| 88 |
+
\ “Llama” (the “Mark”) solely as required to comply with the last sentence of Section\
|
| 89 |
+
\ 1.b.i. You will comply with Meta’s brand guidelines (currently accessible at\
|
| 90 |
+
\ https://about.meta.com/brand/resources/meta/company-brand/). All goodwill arising\
|
| 91 |
+
\ out of your use of the Mark will inure to the benefit of Meta.\nb. Subject to\
|
| 92 |
+
\ Meta’s ownership of Llama Materials and derivatives made by or for Meta, with\
|
| 93 |
+
\ respect to any derivative works and modifications of the Llama Materials that\
|
| 94 |
+
\ are made by you, as between you and Meta, you are and will be the owner of such\
|
| 95 |
+
\ derivative works and modifications.\nc. If you institute litigation or other proceedings\
|
| 96 |
+
\ against Meta or any entity (including a cross-claim or counterclaim in a lawsuit)\
|
| 97 |
+
\ alleging that the Llama Materials or Llama 3.2 outputs or results, or any portion\
|
| 98 |
+
\ of any of the foregoing, constitutes infringement of intellectual property or\
|
| 99 |
+
\ other rights owned or licensable by you, then any licenses granted to you under\
|
| 100 |
+
\ this Agreement shall terminate as of the date such litigation or claim is filed\
|
| 101 |
+
\ or instituted. You will indemnify and hold harmless Meta from and against any\
|
| 102 |
+
\ claim by any third party arising out of or related to your use or distribution\
|
| 103 |
+
\ of the Llama Materials.\n6. Term and Termination. The term of this Agreement will\
|
| 104 |
+
\ commence upon your acceptance of this Agreement or access to the Llama Materials\
|
| 105 |
+
\ and will continue in full force and effect until terminated in accordance with\
|
| 106 |
+
\ the terms and conditions herein. Meta may terminate this Agreement if you are\
|
| 107 |
+
\ in breach of any term or condition of this Agreement. Upon termination of this\
|
| 108 |
+
\ Agreement, you shall delete and cease use of the Llama Materials. Sections 3,\
|
| 109 |
+
\ 4 and 7 shall survive the termination of this Agreement. \n7. Governing Law and\
|
| 110 |
+
\ Jurisdiction. This Agreement will be governed and construed under the laws of\
|
| 111 |
+
\ the State of California without regard to choice of law principles, and the UN\
|
| 112 |
+
\ Convention on Contracts for the International Sale of Goods does not apply to\
|
| 113 |
+
\ this Agreement. The courts of California shall have exclusive jurisdiction of\
|
| 114 |
+
\ any dispute arising out of this Agreement. \n### Llama 3.2 Acceptable Use Policy\n\
|
| 115 |
+
Meta is committed to promoting safe and fair use of its tools and features, including\
|
| 116 |
+
\ Llama 3.2. If you access or use Llama 3.2, you agree to this Acceptable Use Policy\
|
| 117 |
+
\ (“**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\
|
| 118 |
+
#### Prohibited Uses\nWe want everyone to use Llama 3.2 safely and responsibly.\
|
| 119 |
+
\ You agree you will not use, or allow others to use, Llama 3.2 to:\n1. Violate\
|
| 120 |
+
\ the law or others’ rights, including to:\n 1. Engage in, promote, generate,\
|
| 121 |
+
\ contribute to, encourage, plan, incite, or further illegal or unlawful activity\
|
| 122 |
+
\ or content, such as:\n 1. Violence or terrorism\n 2. Exploitation\
|
| 123 |
+
\ or harm to children, including the solicitation, creation, acquisition, or dissemination\
|
| 124 |
+
\ of child exploitative content or failure to report Child Sexual Abuse Material\n\
|
| 125 |
+
\ 3. Human trafficking, exploitation, and sexual violence\n 4. The\
|
| 126 |
+
\ illegal distribution of information or materials to minors, including obscene\
|
| 127 |
+
\ materials, or failure to employ legally required age-gating in connection with\
|
| 128 |
+
\ such information or materials.\n 5. Sexual solicitation\n 6. Any\
|
| 129 |
+
\ other criminal activity\n 1. Engage in, promote, incite, or facilitate the\
|
| 130 |
+
\ harassment, abuse, threatening, or bullying of individuals or groups of individuals\n\
|
| 131 |
+
\ 2. Engage in, promote, incite, or facilitate discrimination or other unlawful\
|
| 132 |
+
\ or harmful conduct in the provision of employment, employment benefits, credit,\
|
| 133 |
+
\ housing, other economic benefits, or other essential goods and services\n 3.\
|
| 134 |
+
\ Engage in the unauthorized or unlicensed practice of any profession including,\
|
| 135 |
+
\ but not limited to, financial, legal, medical/health, or related professional\
|
| 136 |
+
\ practices\n 4. Collect, process, disclose, generate, or infer private or sensitive\
|
| 137 |
+
\ information about individuals, including information about individuals’ identity,\
|
| 138 |
+
\ health, or demographic information, unless you have obtained the right to do so\
|
| 139 |
+
\ in accordance with applicable law\n 5. Engage in or facilitate any action or\
|
| 140 |
+
\ generate any content that infringes, misappropriates, or otherwise violates any\
|
| 141 |
+
\ third-party rights, including the outputs or results of any products or services\
|
| 142 |
+
\ using the Llama Materials\n 6. Create, generate, or facilitate the creation\
|
| 143 |
+
\ of malicious code, malware, computer viruses or do anything else that could disable,\
|
| 144 |
+
\ overburden, interfere with or impair the proper working, integrity, operation\
|
| 145 |
+
\ or appearance of a website or computer system\n 7. Engage in any action, or\
|
| 146 |
+
\ facilitate any action, to intentionally circumvent or remove usage restrictions\
|
| 147 |
+
\ or other safety measures, or to enable functionality disabled by Meta \n2. Engage\
|
| 148 |
+
\ in, promote, incite, facilitate, or assist in the planning or development of activities\
|
| 149 |
+
\ that present a risk of death or bodily harm to individuals, including use of Llama\
|
| 150 |
+
\ 3.2 related to the following:\n 8. Military, warfare, nuclear industries or\
|
| 151 |
+
\ applications, espionage, use for materials or activities that are subject to the\
|
| 152 |
+
\ International Traffic Arms Regulations (ITAR) maintained by the United States\
|
| 153 |
+
\ Department of State or to the U.S. Biological Weapons Anti-Terrorism Act of 1989\
|
| 154 |
+
\ or the Chemical Weapons Convention Implementation Act of 1997\n 9. Guns and\
|
| 155 |
+
\ illegal weapons (including weapon development)\n 10. Illegal drugs and regulated/controlled\
|
| 156 |
+
\ substances\n 11. Operation of critical infrastructure, transportation technologies,\
|
| 157 |
+
\ or heavy machinery\n 12. Self-harm or harm to others, including suicide, cutting,\
|
| 158 |
+
\ and eating disorders\n 13. Any content intended to incite or promote violence,\
|
| 159 |
+
\ abuse, or any infliction of bodily harm to an individual\n3. Intentionally deceive\
|
| 160 |
+
\ or mislead others, including use of Llama 3.2 related to the following:\n 14.\
|
| 161 |
+
\ Generating, promoting, or furthering fraud or the creation or promotion of disinformation\n\
|
| 162 |
+
\ 15. Generating, promoting, or furthering defamatory content, including the\
|
| 163 |
+
\ creation of defamatory statements, images, or other content\n 16. Generating,\
|
| 164 |
+
\ promoting, or further distributing spam\n 17. Impersonating another individual\
|
| 165 |
+
\ without consent, authorization, or legal right\n 18. Representing that the\
|
| 166 |
+
\ use of Llama 3.2 or outputs are human-generated\n 19. Generating or facilitating\
|
| 167 |
+
\ false online engagement, including fake reviews and other means of fake online\
|
| 168 |
+
\ engagement \n4. Fail to appropriately disclose to end users any known dangers\
|
| 169 |
+
\ of your AI system 5. Interact with third party tools, models, or software designed\
|
| 170 |
+
\ to generate unlawful content or engage in unlawful or harmful conduct and/or represent\
|
| 171 |
+
\ that the outputs of such tools, models, or software are associated with Meta or\
|
| 172 |
+
\ Llama 3.2\n\nWith respect to any multimodal models included in Llama 3.2, the\
|
| 173 |
+
\ rights granted under Section 1(a) of the Llama 3.2 Community License Agreement\
|
| 174 |
+
\ are not being granted to you if you are an individual domiciled in, or a company\
|
| 175 |
+
\ with a principal place of business in, the European Union. This restriction does\
|
| 176 |
+
\ not apply to end users of a product or service that incorporates any such multimodal\
|
| 177 |
+
\ models.\n\nPlease report any violation of this Policy, software “bug,” or other\
|
| 178 |
+
\ problems that could lead to a violation of this Policy through one of the following\
|
| 179 |
+
\ 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\
|
| 180 |
+
* Reporting risky content generated by the model: [developers.facebook.com/llama_output_feedback](http://developers.facebook.com/llama_output_feedback)\n\
|
| 181 |
+
* Reporting bugs and security concerns: [facebook.com/whitehat/info](http://facebook.com/whitehat/info)\n\
|
| 182 |
+
* Reporting violations of the Acceptable Use Policy or unlicensed uses of Llama\
|
| 183 |
+
\ 3.2: LlamaUseReport@meta.com"
|
| 184 |
+
extra_gated_fields:
|
| 185 |
+
First Name: text
|
| 186 |
+
Last Name: text
|
| 187 |
+
Date of birth: date_picker
|
| 188 |
+
Country: country
|
| 189 |
+
Affiliation: text
|
| 190 |
+
Job title:
|
| 191 |
+
type: select
|
| 192 |
+
options:
|
| 193 |
+
- Student
|
| 194 |
+
- Research Graduate
|
| 195 |
+
- AI researcher
|
| 196 |
+
- AI developer/engineer
|
| 197 |
+
- Reporter
|
| 198 |
+
- Other
|
| 199 |
+
geo: ip_location
|
| 200 |
+
? By clicking Submit below I accept the terms of the license and acknowledge that
|
| 201 |
+
the information I provide will be collected stored processed and shared in accordance
|
| 202 |
+
with the Meta Privacy Policy
|
| 203 |
+
: checkbox
|
| 204 |
+
extra_gated_description: The information you provide will be collected, stored, processed
|
| 205 |
+
and shared in accordance with the [Meta Privacy Policy](https://www.facebook.com/privacy/policy/).
|
| 206 |
+
extra_gated_button_content: Submit
|
| 207 |
+
base_model: meta-llama/Llama-3.2-3B-Instruct
|
| 208 |
---
|
chat_template.jinja
CHANGED
|
@@ -1,54 +1,93 @@
|
|
| 1 |
-
{
|
| 2 |
-
|
| 3 |
-
{%-
|
| 4 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 5 |
{%- else %}
|
| 6 |
-
{
|
| 7 |
{%- endif %}
|
| 8 |
-
|
| 9 |
-
|
| 10 |
-
|
| 11 |
-
|
| 12 |
-
|
| 13 |
-
|
|
|
|
|
|
|
|
|
|
| 14 |
{%- else %}
|
| 15 |
-
{%-
|
| 16 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 17 |
{%- else %}
|
| 18 |
-
{{-
|
| 19 |
-
{%- endif %}
|
| 20 |
{%- endif %}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 21 |
{%- for message in messages %}
|
| 22 |
-
{%- if (message.role ==
|
| 23 |
-
{{- '<|
|
| 24 |
-
{%- elif
|
| 25 |
-
{
|
| 26 |
-
|
| 27 |
-
{{- '\n' + message.content }}
|
| 28 |
-
{%- endif %}
|
| 29 |
-
{%- for tool_call in message.tool_calls %}
|
| 30 |
-
{%- if tool_call.function is defined %}
|
| 31 |
-
{%- set tool_call = tool_call.function %}
|
| 32 |
-
{%- endif %}
|
| 33 |
-
{{- '\n<tool_call>\n{"name": "' }}
|
| 34 |
-
{{- tool_call.name }}
|
| 35 |
-
{{- '", "arguments": ' }}
|
| 36 |
-
{{- tool_call.arguments | tojson }}
|
| 37 |
-
{{- '}\n</tool_call>' }}
|
| 38 |
-
{%- endfor %}
|
| 39 |
-
{{- '<|im_end|>\n' }}
|
| 40 |
-
{%- elif message.role == "tool" %}
|
| 41 |
-
{%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
|
| 42 |
-
{{- '<|im_start|>user' }}
|
| 43 |
{%- endif %}
|
| 44 |
-
{
|
| 45 |
-
{{-
|
| 46 |
-
{{- '
|
| 47 |
-
{
|
| 48 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 49 |
{%- endif %}
|
|
|
|
| 50 |
{%- endif %}
|
| 51 |
{%- endfor %}
|
| 52 |
{%- if add_generation_prompt %}
|
| 53 |
-
{{- '<|
|
| 54 |
{%- endif %}
|
|
|
|
| 1 |
+
{{- bos_token }}
|
| 2 |
+
{%- if custom_tools is defined %}
|
| 3 |
+
{%- set tools = custom_tools %}
|
| 4 |
+
{%- endif %}
|
| 5 |
+
{%- if not tools_in_user_message is defined %}
|
| 6 |
+
{%- set tools_in_user_message = true %}
|
| 7 |
+
{%- endif %}
|
| 8 |
+
{%- if not date_string is defined %}
|
| 9 |
+
{%- if strftime_now is defined %}
|
| 10 |
+
{%- set date_string = strftime_now("%d %b %Y") %}
|
| 11 |
{%- else %}
|
| 12 |
+
{%- set date_string = "26 Jul 2024" %}
|
| 13 |
{%- endif %}
|
| 14 |
+
{%- endif %}
|
| 15 |
+
{%- if not tools is defined %}
|
| 16 |
+
{%- set tools = none %}
|
| 17 |
+
{%- endif %}
|
| 18 |
+
|
| 19 |
+
{#- This block extracts the system message, so we can slot it into the right place. #}
|
| 20 |
+
{%- if messages[0]['role'] == 'system' %}
|
| 21 |
+
{%- set system_message = messages[0]['content']|trim %}
|
| 22 |
+
{%- set messages = messages[1:] %}
|
| 23 |
{%- else %}
|
| 24 |
+
{%- set system_message = "" %}
|
| 25 |
+
{%- endif %}
|
| 26 |
+
|
| 27 |
+
{#- System message #}
|
| 28 |
+
{{- "<|start_header_id|>system<|end_header_id|>\n\n" }}
|
| 29 |
+
{%- if tools is not none %}
|
| 30 |
+
{{- "Environment: ipython\n" }}
|
| 31 |
+
{%- endif %}
|
| 32 |
+
{{- "Cutting Knowledge Date: December 2023\n" }}
|
| 33 |
+
{{- "Today Date: " + date_string + "\n\n" }}
|
| 34 |
+
{%- if tools is not none and not tools_in_user_message %}
|
| 35 |
+
{{- "You have access to the following functions. To call a function, please respond with JSON for a function call." }}
|
| 36 |
+
{{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }}
|
| 37 |
+
{{- "Do not use variables.\n\n" }}
|
| 38 |
+
{%- for t in tools %}
|
| 39 |
+
{{- t | tojson(indent=4) }}
|
| 40 |
+
{{- "\n\n" }}
|
| 41 |
+
{%- endfor %}
|
| 42 |
+
{%- endif %}
|
| 43 |
+
{{- system_message }}
|
| 44 |
+
{{- "<|eot_id|>" }}
|
| 45 |
+
|
| 46 |
+
{#- Custom tools are passed in a user message with some extra guidance #}
|
| 47 |
+
{%- if tools_in_user_message and not tools is none %}
|
| 48 |
+
{#- Extract the first user message so we can plug it in here #}
|
| 49 |
+
{%- if messages | length != 0 %}
|
| 50 |
+
{%- set first_user_message = messages[0]['content']|trim %}
|
| 51 |
+
{%- set messages = messages[1:] %}
|
| 52 |
{%- else %}
|
| 53 |
+
{{- raise_exception("Cannot put tools in the first user message when there's no first user message!") }}
|
|
|
|
| 54 |
{%- endif %}
|
| 55 |
+
{{- '<|start_header_id|>user<|end_header_id|>\n\n' -}}
|
| 56 |
+
{{- "Given the following functions, please respond with a JSON for a function call " }}
|
| 57 |
+
{{- "with its proper arguments that best answers the given prompt.\n\n" }}
|
| 58 |
+
{{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }}
|
| 59 |
+
{{- "Do not use variables.\n\n" }}
|
| 60 |
+
{%- for t in tools %}
|
| 61 |
+
{{- t | tojson(indent=4) }}
|
| 62 |
+
{{- "\n\n" }}
|
| 63 |
+
{%- endfor %}
|
| 64 |
+
{{- first_user_message + "<|eot_id|>"}}
|
| 65 |
+
{%- endif %}
|
| 66 |
+
|
| 67 |
{%- for message in messages %}
|
| 68 |
+
{%- if not (message.role == 'ipython' or message.role == 'tool' or 'tool_calls' in message) %}
|
| 69 |
+
{{- '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' }}
|
| 70 |
+
{%- elif 'tool_calls' in message %}
|
| 71 |
+
{%- if not message.tool_calls|length == 1 %}
|
| 72 |
+
{{- raise_exception("This model only supports single tool-calls at once!") }}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 73 |
{%- endif %}
|
| 74 |
+
{%- set tool_call = message.tool_calls[0].function %}
|
| 75 |
+
{{- '<|start_header_id|>assistant<|end_header_id|>\n\n' -}}
|
| 76 |
+
{{- '{"name": "' + tool_call.name + '", ' }}
|
| 77 |
+
{{- '"parameters": ' }}
|
| 78 |
+
{{- tool_call.arguments | tojson }}
|
| 79 |
+
{{- "}" }}
|
| 80 |
+
{{- "<|eot_id|>" }}
|
| 81 |
+
{%- elif message.role == "tool" or message.role == "ipython" %}
|
| 82 |
+
{{- "<|start_header_id|>ipython<|end_header_id|>\n\n" }}
|
| 83 |
+
{%- if message.content is mapping or message.content is iterable %}
|
| 84 |
+
{{- message.content | tojson }}
|
| 85 |
+
{%- else %}
|
| 86 |
+
{{- message.content }}
|
| 87 |
{%- endif %}
|
| 88 |
+
{{- "<|eot_id|>" }}
|
| 89 |
{%- endif %}
|
| 90 |
{%- endfor %}
|
| 91 |
{%- if add_generation_prompt %}
|
| 92 |
+
{{- '<|start_header_id|>assistant<|end_header_id|>\n\n' }}
|
| 93 |
{%- endif %}
|
config.json
CHANGED
|
@@ -1,37 +1,39 @@
|
|
| 1 |
{
|
| 2 |
"architectures": [
|
| 3 |
-
"
|
| 4 |
],
|
|
|
|
| 5 |
"attention_dropout": 0.0,
|
| 6 |
-
"bos_token_id":
|
| 7 |
-
"eos_token_id":
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 8 |
"hidden_act": "silu",
|
| 9 |
-
"hidden_size":
|
| 10 |
"initializer_range": 0.02,
|
| 11 |
-
"intermediate_size":
|
| 12 |
-
"max_position_embeddings":
|
| 13 |
-
"
|
| 14 |
-
"model_type": "
|
| 15 |
-
"num_attention_heads":
|
| 16 |
-
"num_hidden_layers":
|
| 17 |
-
"num_key_value_heads":
|
| 18 |
-
"
|
| 19 |
-
|
| 20 |
-
|
| 21 |
-
"
|
| 22 |
-
|
| 23 |
-
|
| 24 |
-
"
|
| 25 |
-
"
|
| 26 |
-
"mode": "affine"
|
| 27 |
},
|
| 28 |
-
"
|
| 29 |
-
"rope_theta": 1000000.0,
|
| 30 |
-
"sliding_window": 32768,
|
| 31 |
"tie_word_embeddings": true,
|
| 32 |
"torch_dtype": "bfloat16",
|
| 33 |
-
"transformers_version": "4.
|
| 34 |
"use_cache": true,
|
| 35 |
-
"
|
| 36 |
-
"vocab_size": 151936
|
| 37 |
}
|
|
|
|
| 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 |
+
"rms_norm_eps": 1e-05,
|
| 26 |
+
"rope_scaling": {
|
| 27 |
+
"factor": 32.0,
|
| 28 |
+
"high_freq_factor": 4.0,
|
| 29 |
+
"low_freq_factor": 1.0,
|
| 30 |
+
"original_max_position_embeddings": 8192,
|
| 31 |
+
"rope_type": "llama3"
|
|
|
|
| 32 |
},
|
| 33 |
+
"rope_theta": 500000.0,
|
|
|
|
|
|
|
| 34 |
"tie_word_embeddings": true,
|
| 35 |
"torch_dtype": "bfloat16",
|
| 36 |
+
"transformers_version": "4.45.0.dev0",
|
| 37 |
"use_cache": true,
|
| 38 |
+
"vocab_size": 128256
|
|
|
|
| 39 |
}
|
generation_config.json
CHANGED
|
@@ -1,14 +1,12 @@
|
|
| 1 |
{
|
| 2 |
-
"bos_token_id":
|
| 3 |
-
"pad_token_id": 151643,
|
| 4 |
"do_sample": true,
|
| 5 |
"eos_token_id": [
|
| 6 |
-
|
| 7 |
-
|
|
|
|
| 8 |
],
|
| 9 |
-
"
|
| 10 |
-
"
|
| 11 |
-
"
|
| 12 |
-
|
| 13 |
-
"transformers_version": "4.37.0"
|
| 14 |
-
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"bos_token_id": 128000,
|
|
|
|
| 3 |
"do_sample": true,
|
| 4 |
"eos_token_id": [
|
| 5 |
+
128001,
|
| 6 |
+
128008,
|
| 7 |
+
128009
|
| 8 |
],
|
| 9 |
+
"temperature": 0.6,
|
| 10 |
+
"top_p": 0.9,
|
| 11 |
+
"transformers_version": "4.45.0.dev0"
|
| 12 |
+
}
|
|
|
|
|
|
model-00001-of-00002.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a54ef315cbced94efe169c60af9579a943e56ee341ca96f5211f5c4e739efa8a
|
| 3 |
+
size 5368478882
|
model-00002-of-00002.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:16cc60e523ed916bc8446d1e721b7532e4125c5ccf773ffd1b9f50910113c39e
|
| 3 |
+
size 1057050089
|
model.safetensors.index.json
CHANGED
|
@@ -1,948 +1,262 @@
|
|
| 1 |
{
|
| 2 |
"metadata": {
|
| 3 |
-
"total_size":
|
| 4 |
-
"total_parameters":
|
| 5 |
},
|
| 6 |
"weight_map": {
|
| 7 |
-
"model.embed_tokens.
|
| 8 |
-
"model.
|
| 9 |
-
"model.
|
| 10 |
-
"model.layers.0.
|
| 11 |
-
"model.layers.0.mlp.
|
| 12 |
-
"model.layers.0.
|
| 13 |
-
"model.layers.0.
|
| 14 |
-
"model.layers.0.
|
| 15 |
-
"model.layers.0.
|
| 16 |
-
"model.layers.0.
|
| 17 |
-
"model.layers.
|
| 18 |
-
"model.layers.
|
| 19 |
-
"model.layers.
|
| 20 |
-
"model.layers.
|
| 21 |
-
"model.layers.
|
| 22 |
-
"model.layers.
|
| 23 |
-
"model.layers.
|
| 24 |
-
"model.layers.
|
| 25 |
-
"model.layers.
|
| 26 |
-
"model.layers.
|
| 27 |
-
"model.layers.
|
| 28 |
-
"model.layers.
|
| 29 |
-
"model.layers.
|
| 30 |
-
"model.layers.
|
| 31 |
-
"model.layers.
|
| 32 |
-
"model.layers.
|
| 33 |
-
"model.layers.
|
| 34 |
-
"model.layers.
|
| 35 |
-
"model.layers.
|
| 36 |
-
"model.layers.
|
| 37 |
-
"model.layers.
|
| 38 |
-
"model.layers.
|
| 39 |
-
"model.layers.
|
| 40 |
-
"model.layers.
|
| 41 |
-
"model.layers.
|
| 42 |
-
"model.layers.
|
| 43 |
-
"model.layers.
|
| 44 |
-
"model.layers.
|
| 45 |
-
"model.layers.
|
| 46 |
-
"model.layers.
|
| 47 |
-
"model.layers.
|
| 48 |
-
"model.layers.
|
| 49 |
-
"model.layers.
|
| 50 |
-
"model.layers.
|
| 51 |
-
"model.layers.
|
| 52 |
-
"model.layers.
|
| 53 |
-
"model.layers.
|
| 54 |
-
"model.layers.
|
| 55 |
-
"model.layers.
|
| 56 |
-
"model.layers.
|
| 57 |
-
"model.layers.
|
| 58 |
-
"model.layers.
|
| 59 |
-
"model.layers.
|
| 60 |
-
"model.layers.
|
| 61 |
-
"model.layers.
|
| 62 |
-
"model.layers.
|
| 63 |
-
"model.layers.
|
| 64 |
-
"model.layers.
|
| 65 |
-
"model.layers.
|
| 66 |
-
"model.layers.
|
| 67 |
-
"model.layers.
|
| 68 |
-
"model.layers.
|
| 69 |
-
"model.layers.
|
| 70 |
-
"model.layers.
|
| 71 |
-
"model.layers.
|
| 72 |
-
"model.layers.
|
| 73 |
-
"model.layers.
|
| 74 |
-
"model.layers.
|
| 75 |
-
"model.layers.
|
| 76 |
-
"model.layers.
|
| 77 |
-
"model.layers.
|
| 78 |
-
"model.layers.
|
| 79 |
-
"model.layers.
|
| 80 |
-
"model.layers.
|
| 81 |
-
"model.layers.
|
| 82 |
-
"model.layers.
|
| 83 |
-
"model.layers.
|
| 84 |
-
"model.layers.
|
| 85 |
-
"model.layers.
|
| 86 |
-
"model.layers.
|
| 87 |
-
"model.layers.
|
| 88 |
-
"model.layers.
|
| 89 |
-
"model.layers.
|
| 90 |
-
"model.layers.
|
| 91 |
-
"model.layers.
|
| 92 |
-
"model.layers.
|
| 93 |
-
"model.layers.
|
| 94 |
-
"model.layers.
|
| 95 |
-
"model.layers.
|
| 96 |
-
"model.layers.
|
| 97 |
-
"model.layers.
|
| 98 |
-
"model.layers.
|
| 99 |
-
"model.layers.
|
| 100 |
-
"model.layers.
|
| 101 |
-
"model.layers.
|
| 102 |
-
"model.layers.
|
| 103 |
-
"model.layers.
|
| 104 |
-
"model.layers.
|
| 105 |
-
"model.layers.
|
| 106 |
-
"model.layers.
|
| 107 |
-
"model.layers.
|
| 108 |
-
"model.layers.
|
| 109 |
-
"model.layers.
|
| 110 |
-
"model.layers.
|
| 111 |
-
"model.layers.
|
| 112 |
-
"model.layers.
|
| 113 |
-
"model.layers.
|
| 114 |
-
"model.layers.
|
| 115 |
-
"model.layers.
|
| 116 |
-
"model.layers.
|
| 117 |
-
"model.layers.
|
| 118 |
-
"model.layers.
|
| 119 |
-
"model.layers.
|
| 120 |
-
"model.layers.
|
| 121 |
-
"model.layers.
|
| 122 |
-
"model.layers.
|
| 123 |
-
"model.layers.
|
| 124 |
-
"model.layers.
|
| 125 |
-
"model.layers.
|
| 126 |
-
"model.layers.
|
| 127 |
-
"model.layers.
|
| 128 |
-
"model.layers.
|
| 129 |
-
"model.layers.
|
| 130 |
-
"model.layers.
|
| 131 |
-
"model.layers.
|
| 132 |
-
"model.layers.
|
| 133 |
-
"model.layers.
|
| 134 |
-
"model.layers.
|
| 135 |
-
"model.layers.
|
| 136 |
-
"model.layers.
|
| 137 |
-
"model.layers.
|
| 138 |
-
"model.layers.
|
| 139 |
-
"model.layers.
|
| 140 |
-
"model.layers.
|
| 141 |
-
"model.layers.
|
| 142 |
-
"model.layers.
|
| 143 |
-
"model.layers.
|
| 144 |
-
"model.layers.
|
| 145 |
-
"model.layers.
|
| 146 |
-
"model.layers.
|
| 147 |
-
"model.layers.
|
| 148 |
-
"model.layers.
|
| 149 |
-
"model.layers.
|
| 150 |
-
"model.layers.
|
| 151 |
-
"model.layers.
|
| 152 |
-
"model.layers.
|
| 153 |
-
"model.layers.
|
| 154 |
-
"model.layers.
|
| 155 |
-
"model.layers.
|
| 156 |
-
"model.layers.
|
| 157 |
-
"model.layers.
|
| 158 |
-
"model.layers.
|
| 159 |
-
"model.layers.
|
| 160 |
-
"model.layers.
|
| 161 |
-
"model.layers.
|
| 162 |
-
"model.layers.
|
| 163 |
-
"model.layers.
|
| 164 |
-
"model.layers.
|
| 165 |
-
"model.layers.
|
| 166 |
-
"model.layers.
|
| 167 |
-
"model.layers.
|
| 168 |
-
"model.layers.
|
| 169 |
-
"model.layers.
|
| 170 |
-
"model.layers.
|
| 171 |
-
"model.layers.
|
| 172 |
-
"model.layers.
|
| 173 |
-
"model.layers.
|
| 174 |
-
"model.layers.
|
| 175 |
-
"model.layers.
|
| 176 |
-
"model.layers.
|
| 177 |
-
"model.layers.
|
| 178 |
-
"model.layers.
|
| 179 |
-
"model.layers.
|
| 180 |
-
"model.layers.
|
| 181 |
-
"model.layers.
|
| 182 |
-
"model.layers.
|
| 183 |
-
"model.layers.
|
| 184 |
-
"model.layers.
|
| 185 |
-
"model.layers.
|
| 186 |
-
"model.layers.
|
| 187 |
-
"model.layers.
|
| 188 |
-
"model.layers.
|
| 189 |
-
"model.layers.
|
| 190 |
-
"model.layers.
|
| 191 |
-
"model.layers.
|
| 192 |
-
"model.layers.
|
| 193 |
-
"model.layers.
|
| 194 |
-
"model.layers.
|
| 195 |
-
"model.layers.
|
| 196 |
-
"model.layers.
|
| 197 |
-
"model.layers.
|
| 198 |
-
"model.layers.
|
| 199 |
-
"model.layers.
|
| 200 |
-
"model.layers.
|
| 201 |
-
"model.layers.
|
| 202 |
-
"model.layers.
|
| 203 |
-
"model.layers.
|
| 204 |
-
"model.layers.
|
| 205 |
-
"model.layers.
|
| 206 |
-
"model.layers.
|
| 207 |
-
"model.layers.
|
| 208 |
-
"model.layers.
|
| 209 |
-
"model.layers.
|
| 210 |
-
"model.layers.
|
| 211 |
-
"model.layers.
|
| 212 |
-
"model.layers.
|
| 213 |
-
"model.layers.
|
| 214 |
-
"model.layers.
|
| 215 |
-
"model.layers.
|
| 216 |
-
"model.layers.
|
| 217 |
-
"model.layers.
|
| 218 |
-
"model.layers.
|
| 219 |
-
"model.layers.
|
| 220 |
-
"model.layers.
|
| 221 |
-
"model.layers.
|
| 222 |
-
"model.layers.
|
| 223 |
-
"model.layers.
|
| 224 |
-
"model.layers.
|
| 225 |
-
"model.layers.
|
| 226 |
-
"model.layers.
|
| 227 |
-
"model.layers.
|
| 228 |
-
"model.layers.
|
| 229 |
-
"model.layers.
|
| 230 |
-
"model.layers.
|
| 231 |
-
"model.layers.
|
| 232 |
-
"model.layers.
|
| 233 |
-
"model.layers.
|
| 234 |
-
"model.layers.
|
| 235 |
-
"model.layers.
|
| 236 |
-
"model.layers.
|
| 237 |
-
"model.layers.
|
| 238 |
-
"model.layers.
|
| 239 |
-
"model.layers.
|
| 240 |
-
"model.layers.
|
| 241 |
-
"model.layers.
|
| 242 |
-
"model.layers.
|
| 243 |
-
"model.layers.
|
| 244 |
-
"model.layers.
|
| 245 |
-
"model.layers.
|
| 246 |
-
"model.layers.
|
| 247 |
-
"model.layers.
|
| 248 |
-
"model.layers.
|
| 249 |
-
"model.layers.
|
| 250 |
-
"model.layers.
|
| 251 |
-
"model.layers.
|
| 252 |
-
"model.layers.
|
| 253 |
-
"model.layers.
|
| 254 |
-
"model.layers.
|
| 255 |
-
"model.layers.
|
| 256 |
-
"model.layers.
|
| 257 |
-
"model.layers.
|
| 258 |
-
"model.layers.
|
| 259 |
-
"model.layers.
|
| 260 |
-
"model.
|
| 261 |
-
"model.layers.17.self_attn.o_proj.weight": "model.safetensors",
|
| 262 |
-
"model.layers.17.self_attn.q_proj.bias": "model.safetensors",
|
| 263 |
-
"model.layers.17.self_attn.q_proj.biases": "model.safetensors",
|
| 264 |
-
"model.layers.17.self_attn.q_proj.scales": "model.safetensors",
|
| 265 |
-
"model.layers.17.self_attn.q_proj.weight": "model.safetensors",
|
| 266 |
-
"model.layers.17.self_attn.v_proj.bias": "model.safetensors",
|
| 267 |
-
"model.layers.17.self_attn.v_proj.biases": "model.safetensors",
|
| 268 |
-
"model.layers.17.self_attn.v_proj.scales": "model.safetensors",
|
| 269 |
-
"model.layers.17.self_attn.v_proj.weight": "model.safetensors",
|
| 270 |
-
"model.layers.18.input_layernorm.weight": "model.safetensors",
|
| 271 |
-
"model.layers.18.mlp.down_proj.biases": "model.safetensors",
|
| 272 |
-
"model.layers.18.mlp.down_proj.scales": "model.safetensors",
|
| 273 |
-
"model.layers.18.mlp.down_proj.weight": "model.safetensors",
|
| 274 |
-
"model.layers.18.mlp.gate_proj.biases": "model.safetensors",
|
| 275 |
-
"model.layers.18.mlp.gate_proj.scales": "model.safetensors",
|
| 276 |
-
"model.layers.18.mlp.gate_proj.weight": "model.safetensors",
|
| 277 |
-
"model.layers.18.mlp.up_proj.biases": "model.safetensors",
|
| 278 |
-
"model.layers.18.mlp.up_proj.scales": "model.safetensors",
|
| 279 |
-
"model.layers.18.mlp.up_proj.weight": "model.safetensors",
|
| 280 |
-
"model.layers.18.post_attention_layernorm.weight": "model.safetensors",
|
| 281 |
-
"model.layers.18.self_attn.k_proj.bias": "model.safetensors",
|
| 282 |
-
"model.layers.18.self_attn.k_proj.biases": "model.safetensors",
|
| 283 |
-
"model.layers.18.self_attn.k_proj.scales": "model.safetensors",
|
| 284 |
-
"model.layers.18.self_attn.k_proj.weight": "model.safetensors",
|
| 285 |
-
"model.layers.18.self_attn.o_proj.biases": "model.safetensors",
|
| 286 |
-
"model.layers.18.self_attn.o_proj.scales": "model.safetensors",
|
| 287 |
-
"model.layers.18.self_attn.o_proj.weight": "model.safetensors",
|
| 288 |
-
"model.layers.18.self_attn.q_proj.bias": "model.safetensors",
|
| 289 |
-
"model.layers.18.self_attn.q_proj.biases": "model.safetensors",
|
| 290 |
-
"model.layers.18.self_attn.q_proj.scales": "model.safetensors",
|
| 291 |
-
"model.layers.18.self_attn.q_proj.weight": "model.safetensors",
|
| 292 |
-
"model.layers.18.self_attn.v_proj.bias": "model.safetensors",
|
| 293 |
-
"model.layers.18.self_attn.v_proj.biases": "model.safetensors",
|
| 294 |
-
"model.layers.18.self_attn.v_proj.scales": "model.safetensors",
|
| 295 |
-
"model.layers.18.self_attn.v_proj.weight": "model.safetensors",
|
| 296 |
-
"model.layers.19.input_layernorm.weight": "model.safetensors",
|
| 297 |
-
"model.layers.19.mlp.down_proj.biases": "model.safetensors",
|
| 298 |
-
"model.layers.19.mlp.down_proj.scales": "model.safetensors",
|
| 299 |
-
"model.layers.19.mlp.down_proj.weight": "model.safetensors",
|
| 300 |
-
"model.layers.19.mlp.gate_proj.biases": "model.safetensors",
|
| 301 |
-
"model.layers.19.mlp.gate_proj.scales": "model.safetensors",
|
| 302 |
-
"model.layers.19.mlp.gate_proj.weight": "model.safetensors",
|
| 303 |
-
"model.layers.19.mlp.up_proj.biases": "model.safetensors",
|
| 304 |
-
"model.layers.19.mlp.up_proj.scales": "model.safetensors",
|
| 305 |
-
"model.layers.19.mlp.up_proj.weight": "model.safetensors",
|
| 306 |
-
"model.layers.19.post_attention_layernorm.weight": "model.safetensors",
|
| 307 |
-
"model.layers.19.self_attn.k_proj.bias": "model.safetensors",
|
| 308 |
-
"model.layers.19.self_attn.k_proj.biases": "model.safetensors",
|
| 309 |
-
"model.layers.19.self_attn.k_proj.scales": "model.safetensors",
|
| 310 |
-
"model.layers.19.self_attn.k_proj.weight": "model.safetensors",
|
| 311 |
-
"model.layers.19.self_attn.o_proj.biases": "model.safetensors",
|
| 312 |
-
"model.layers.19.self_attn.o_proj.scales": "model.safetensors",
|
| 313 |
-
"model.layers.19.self_attn.o_proj.weight": "model.safetensors",
|
| 314 |
-
"model.layers.19.self_attn.q_proj.bias": "model.safetensors",
|
| 315 |
-
"model.layers.19.self_attn.q_proj.biases": "model.safetensors",
|
| 316 |
-
"model.layers.19.self_attn.q_proj.scales": "model.safetensors",
|
| 317 |
-
"model.layers.19.self_attn.q_proj.weight": "model.safetensors",
|
| 318 |
-
"model.layers.19.self_attn.v_proj.bias": "model.safetensors",
|
| 319 |
-
"model.layers.19.self_attn.v_proj.biases": "model.safetensors",
|
| 320 |
-
"model.layers.19.self_attn.v_proj.scales": "model.safetensors",
|
| 321 |
-
"model.layers.19.self_attn.v_proj.weight": "model.safetensors",
|
| 322 |
-
"model.layers.2.input_layernorm.weight": "model.safetensors",
|
| 323 |
-
"model.layers.2.mlp.down_proj.biases": "model.safetensors",
|
| 324 |
-
"model.layers.2.mlp.down_proj.scales": "model.safetensors",
|
| 325 |
-
"model.layers.2.mlp.down_proj.weight": "model.safetensors",
|
| 326 |
-
"model.layers.2.mlp.gate_proj.biases": "model.safetensors",
|
| 327 |
-
"model.layers.2.mlp.gate_proj.scales": "model.safetensors",
|
| 328 |
-
"model.layers.2.mlp.gate_proj.weight": "model.safetensors",
|
| 329 |
-
"model.layers.2.mlp.up_proj.biases": "model.safetensors",
|
| 330 |
-
"model.layers.2.mlp.up_proj.scales": "model.safetensors",
|
| 331 |
-
"model.layers.2.mlp.up_proj.weight": "model.safetensors",
|
| 332 |
-
"model.layers.2.post_attention_layernorm.weight": "model.safetensors",
|
| 333 |
-
"model.layers.2.self_attn.k_proj.bias": "model.safetensors",
|
| 334 |
-
"model.layers.2.self_attn.k_proj.biases": "model.safetensors",
|
| 335 |
-
"model.layers.2.self_attn.k_proj.scales": "model.safetensors",
|
| 336 |
-
"model.layers.2.self_attn.k_proj.weight": "model.safetensors",
|
| 337 |
-
"model.layers.2.self_attn.o_proj.biases": "model.safetensors",
|
| 338 |
-
"model.layers.2.self_attn.o_proj.scales": "model.safetensors",
|
| 339 |
-
"model.layers.2.self_attn.o_proj.weight": "model.safetensors",
|
| 340 |
-
"model.layers.2.self_attn.q_proj.bias": "model.safetensors",
|
| 341 |
-
"model.layers.2.self_attn.q_proj.biases": "model.safetensors",
|
| 342 |
-
"model.layers.2.self_attn.q_proj.scales": "model.safetensors",
|
| 343 |
-
"model.layers.2.self_attn.q_proj.weight": "model.safetensors",
|
| 344 |
-
"model.layers.2.self_attn.v_proj.bias": "model.safetensors",
|
| 345 |
-
"model.layers.2.self_attn.v_proj.biases": "model.safetensors",
|
| 346 |
-
"model.layers.2.self_attn.v_proj.scales": "model.safetensors",
|
| 347 |
-
"model.layers.2.self_attn.v_proj.weight": "model.safetensors",
|
| 348 |
-
"model.layers.20.input_layernorm.weight": "model.safetensors",
|
| 349 |
-
"model.layers.20.mlp.down_proj.biases": "model.safetensors",
|
| 350 |
-
"model.layers.20.mlp.down_proj.scales": "model.safetensors",
|
| 351 |
-
"model.layers.20.mlp.down_proj.weight": "model.safetensors",
|
| 352 |
-
"model.layers.20.mlp.gate_proj.biases": "model.safetensors",
|
| 353 |
-
"model.layers.20.mlp.gate_proj.scales": "model.safetensors",
|
| 354 |
-
"model.layers.20.mlp.gate_proj.weight": "model.safetensors",
|
| 355 |
-
"model.layers.20.mlp.up_proj.biases": "model.safetensors",
|
| 356 |
-
"model.layers.20.mlp.up_proj.scales": "model.safetensors",
|
| 357 |
-
"model.layers.20.mlp.up_proj.weight": "model.safetensors",
|
| 358 |
-
"model.layers.20.post_attention_layernorm.weight": "model.safetensors",
|
| 359 |
-
"model.layers.20.self_attn.k_proj.bias": "model.safetensors",
|
| 360 |
-
"model.layers.20.self_attn.k_proj.biases": "model.safetensors",
|
| 361 |
-
"model.layers.20.self_attn.k_proj.scales": "model.safetensors",
|
| 362 |
-
"model.layers.20.self_attn.k_proj.weight": "model.safetensors",
|
| 363 |
-
"model.layers.20.self_attn.o_proj.biases": "model.safetensors",
|
| 364 |
-
"model.layers.20.self_attn.o_proj.scales": "model.safetensors",
|
| 365 |
-
"model.layers.20.self_attn.o_proj.weight": "model.safetensors",
|
| 366 |
-
"model.layers.20.self_attn.q_proj.bias": "model.safetensors",
|
| 367 |
-
"model.layers.20.self_attn.q_proj.biases": "model.safetensors",
|
| 368 |
-
"model.layers.20.self_attn.q_proj.scales": "model.safetensors",
|
| 369 |
-
"model.layers.20.self_attn.q_proj.weight": "model.safetensors",
|
| 370 |
-
"model.layers.20.self_attn.v_proj.bias": "model.safetensors",
|
| 371 |
-
"model.layers.20.self_attn.v_proj.biases": "model.safetensors",
|
| 372 |
-
"model.layers.20.self_attn.v_proj.scales": "model.safetensors",
|
| 373 |
-
"model.layers.20.self_attn.v_proj.weight": "model.safetensors",
|
| 374 |
-
"model.layers.21.input_layernorm.weight": "model.safetensors",
|
| 375 |
-
"model.layers.21.mlp.down_proj.biases": "model.safetensors",
|
| 376 |
-
"model.layers.21.mlp.down_proj.scales": "model.safetensors",
|
| 377 |
-
"model.layers.21.mlp.down_proj.weight": "model.safetensors",
|
| 378 |
-
"model.layers.21.mlp.gate_proj.biases": "model.safetensors",
|
| 379 |
-
"model.layers.21.mlp.gate_proj.scales": "model.safetensors",
|
| 380 |
-
"model.layers.21.mlp.gate_proj.weight": "model.safetensors",
|
| 381 |
-
"model.layers.21.mlp.up_proj.biases": "model.safetensors",
|
| 382 |
-
"model.layers.21.mlp.up_proj.scales": "model.safetensors",
|
| 383 |
-
"model.layers.21.mlp.up_proj.weight": "model.safetensors",
|
| 384 |
-
"model.layers.21.post_attention_layernorm.weight": "model.safetensors",
|
| 385 |
-
"model.layers.21.self_attn.k_proj.bias": "model.safetensors",
|
| 386 |
-
"model.layers.21.self_attn.k_proj.biases": "model.safetensors",
|
| 387 |
-
"model.layers.21.self_attn.k_proj.scales": "model.safetensors",
|
| 388 |
-
"model.layers.21.self_attn.k_proj.weight": "model.safetensors",
|
| 389 |
-
"model.layers.21.self_attn.o_proj.biases": "model.safetensors",
|
| 390 |
-
"model.layers.21.self_attn.o_proj.scales": "model.safetensors",
|
| 391 |
-
"model.layers.21.self_attn.o_proj.weight": "model.safetensors",
|
| 392 |
-
"model.layers.21.self_attn.q_proj.bias": "model.safetensors",
|
| 393 |
-
"model.layers.21.self_attn.q_proj.biases": "model.safetensors",
|
| 394 |
-
"model.layers.21.self_attn.q_proj.scales": "model.safetensors",
|
| 395 |
-
"model.layers.21.self_attn.q_proj.weight": "model.safetensors",
|
| 396 |
-
"model.layers.21.self_attn.v_proj.bias": "model.safetensors",
|
| 397 |
-
"model.layers.21.self_attn.v_proj.biases": "model.safetensors",
|
| 398 |
-
"model.layers.21.self_attn.v_proj.scales": "model.safetensors",
|
| 399 |
-
"model.layers.21.self_attn.v_proj.weight": "model.safetensors",
|
| 400 |
-
"model.layers.22.input_layernorm.weight": "model.safetensors",
|
| 401 |
-
"model.layers.22.mlp.down_proj.biases": "model.safetensors",
|
| 402 |
-
"model.layers.22.mlp.down_proj.scales": "model.safetensors",
|
| 403 |
-
"model.layers.22.mlp.down_proj.weight": "model.safetensors",
|
| 404 |
-
"model.layers.22.mlp.gate_proj.biases": "model.safetensors",
|
| 405 |
-
"model.layers.22.mlp.gate_proj.scales": "model.safetensors",
|
| 406 |
-
"model.layers.22.mlp.gate_proj.weight": "model.safetensors",
|
| 407 |
-
"model.layers.22.mlp.up_proj.biases": "model.safetensors",
|
| 408 |
-
"model.layers.22.mlp.up_proj.scales": "model.safetensors",
|
| 409 |
-
"model.layers.22.mlp.up_proj.weight": "model.safetensors",
|
| 410 |
-
"model.layers.22.post_attention_layernorm.weight": "model.safetensors",
|
| 411 |
-
"model.layers.22.self_attn.k_proj.bias": "model.safetensors",
|
| 412 |
-
"model.layers.22.self_attn.k_proj.biases": "model.safetensors",
|
| 413 |
-
"model.layers.22.self_attn.k_proj.scales": "model.safetensors",
|
| 414 |
-
"model.layers.22.self_attn.k_proj.weight": "model.safetensors",
|
| 415 |
-
"model.layers.22.self_attn.o_proj.biases": "model.safetensors",
|
| 416 |
-
"model.layers.22.self_attn.o_proj.scales": "model.safetensors",
|
| 417 |
-
"model.layers.22.self_attn.o_proj.weight": "model.safetensors",
|
| 418 |
-
"model.layers.22.self_attn.q_proj.bias": "model.safetensors",
|
| 419 |
-
"model.layers.22.self_attn.q_proj.biases": "model.safetensors",
|
| 420 |
-
"model.layers.22.self_attn.q_proj.scales": "model.safetensors",
|
| 421 |
-
"model.layers.22.self_attn.q_proj.weight": "model.safetensors",
|
| 422 |
-
"model.layers.22.self_attn.v_proj.bias": "model.safetensors",
|
| 423 |
-
"model.layers.22.self_attn.v_proj.biases": "model.safetensors",
|
| 424 |
-
"model.layers.22.self_attn.v_proj.scales": "model.safetensors",
|
| 425 |
-
"model.layers.22.self_attn.v_proj.weight": "model.safetensors",
|
| 426 |
-
"model.layers.23.input_layernorm.weight": "model.safetensors",
|
| 427 |
-
"model.layers.23.mlp.down_proj.biases": "model.safetensors",
|
| 428 |
-
"model.layers.23.mlp.down_proj.scales": "model.safetensors",
|
| 429 |
-
"model.layers.23.mlp.down_proj.weight": "model.safetensors",
|
| 430 |
-
"model.layers.23.mlp.gate_proj.biases": "model.safetensors",
|
| 431 |
-
"model.layers.23.mlp.gate_proj.scales": "model.safetensors",
|
| 432 |
-
"model.layers.23.mlp.gate_proj.weight": "model.safetensors",
|
| 433 |
-
"model.layers.23.mlp.up_proj.biases": "model.safetensors",
|
| 434 |
-
"model.layers.23.mlp.up_proj.scales": "model.safetensors",
|
| 435 |
-
"model.layers.23.mlp.up_proj.weight": "model.safetensors",
|
| 436 |
-
"model.layers.23.post_attention_layernorm.weight": "model.safetensors",
|
| 437 |
-
"model.layers.23.self_attn.k_proj.bias": "model.safetensors",
|
| 438 |
-
"model.layers.23.self_attn.k_proj.biases": "model.safetensors",
|
| 439 |
-
"model.layers.23.self_attn.k_proj.scales": "model.safetensors",
|
| 440 |
-
"model.layers.23.self_attn.k_proj.weight": "model.safetensors",
|
| 441 |
-
"model.layers.23.self_attn.o_proj.biases": "model.safetensors",
|
| 442 |
-
"model.layers.23.self_attn.o_proj.scales": "model.safetensors",
|
| 443 |
-
"model.layers.23.self_attn.o_proj.weight": "model.safetensors",
|
| 444 |
-
"model.layers.23.self_attn.q_proj.bias": "model.safetensors",
|
| 445 |
-
"model.layers.23.self_attn.q_proj.biases": "model.safetensors",
|
| 446 |
-
"model.layers.23.self_attn.q_proj.scales": "model.safetensors",
|
| 447 |
-
"model.layers.23.self_attn.q_proj.weight": "model.safetensors",
|
| 448 |
-
"model.layers.23.self_attn.v_proj.bias": "model.safetensors",
|
| 449 |
-
"model.layers.23.self_attn.v_proj.biases": "model.safetensors",
|
| 450 |
-
"model.layers.23.self_attn.v_proj.scales": "model.safetensors",
|
| 451 |
-
"model.layers.23.self_attn.v_proj.weight": "model.safetensors",
|
| 452 |
-
"model.layers.24.input_layernorm.weight": "model.safetensors",
|
| 453 |
-
"model.layers.24.mlp.down_proj.biases": "model.safetensors",
|
| 454 |
-
"model.layers.24.mlp.down_proj.scales": "model.safetensors",
|
| 455 |
-
"model.layers.24.mlp.down_proj.weight": "model.safetensors",
|
| 456 |
-
"model.layers.24.mlp.gate_proj.biases": "model.safetensors",
|
| 457 |
-
"model.layers.24.mlp.gate_proj.scales": "model.safetensors",
|
| 458 |
-
"model.layers.24.mlp.gate_proj.weight": "model.safetensors",
|
| 459 |
-
"model.layers.24.mlp.up_proj.biases": "model.safetensors",
|
| 460 |
-
"model.layers.24.mlp.up_proj.scales": "model.safetensors",
|
| 461 |
-
"model.layers.24.mlp.up_proj.weight": "model.safetensors",
|
| 462 |
-
"model.layers.24.post_attention_layernorm.weight": "model.safetensors",
|
| 463 |
-
"model.layers.24.self_attn.k_proj.bias": "model.safetensors",
|
| 464 |
-
"model.layers.24.self_attn.k_proj.biases": "model.safetensors",
|
| 465 |
-
"model.layers.24.self_attn.k_proj.scales": "model.safetensors",
|
| 466 |
-
"model.layers.24.self_attn.k_proj.weight": "model.safetensors",
|
| 467 |
-
"model.layers.24.self_attn.o_proj.biases": "model.safetensors",
|
| 468 |
-
"model.layers.24.self_attn.o_proj.scales": "model.safetensors",
|
| 469 |
-
"model.layers.24.self_attn.o_proj.weight": "model.safetensors",
|
| 470 |
-
"model.layers.24.self_attn.q_proj.bias": "model.safetensors",
|
| 471 |
-
"model.layers.24.self_attn.q_proj.biases": "model.safetensors",
|
| 472 |
-
"model.layers.24.self_attn.q_proj.scales": "model.safetensors",
|
| 473 |
-
"model.layers.24.self_attn.q_proj.weight": "model.safetensors",
|
| 474 |
-
"model.layers.24.self_attn.v_proj.bias": "model.safetensors",
|
| 475 |
-
"model.layers.24.self_attn.v_proj.biases": "model.safetensors",
|
| 476 |
-
"model.layers.24.self_attn.v_proj.scales": "model.safetensors",
|
| 477 |
-
"model.layers.24.self_attn.v_proj.weight": "model.safetensors",
|
| 478 |
-
"model.layers.25.input_layernorm.weight": "model.safetensors",
|
| 479 |
-
"model.layers.25.mlp.down_proj.biases": "model.safetensors",
|
| 480 |
-
"model.layers.25.mlp.down_proj.scales": "model.safetensors",
|
| 481 |
-
"model.layers.25.mlp.down_proj.weight": "model.safetensors",
|
| 482 |
-
"model.layers.25.mlp.gate_proj.biases": "model.safetensors",
|
| 483 |
-
"model.layers.25.mlp.gate_proj.scales": "model.safetensors",
|
| 484 |
-
"model.layers.25.mlp.gate_proj.weight": "model.safetensors",
|
| 485 |
-
"model.layers.25.mlp.up_proj.biases": "model.safetensors",
|
| 486 |
-
"model.layers.25.mlp.up_proj.scales": "model.safetensors",
|
| 487 |
-
"model.layers.25.mlp.up_proj.weight": "model.safetensors",
|
| 488 |
-
"model.layers.25.post_attention_layernorm.weight": "model.safetensors",
|
| 489 |
-
"model.layers.25.self_attn.k_proj.bias": "model.safetensors",
|
| 490 |
-
"model.layers.25.self_attn.k_proj.biases": "model.safetensors",
|
| 491 |
-
"model.layers.25.self_attn.k_proj.scales": "model.safetensors",
|
| 492 |
-
"model.layers.25.self_attn.k_proj.weight": "model.safetensors",
|
| 493 |
-
"model.layers.25.self_attn.o_proj.biases": "model.safetensors",
|
| 494 |
-
"model.layers.25.self_attn.o_proj.scales": "model.safetensors",
|
| 495 |
-
"model.layers.25.self_attn.o_proj.weight": "model.safetensors",
|
| 496 |
-
"model.layers.25.self_attn.q_proj.bias": "model.safetensors",
|
| 497 |
-
"model.layers.25.self_attn.q_proj.biases": "model.safetensors",
|
| 498 |
-
"model.layers.25.self_attn.q_proj.scales": "model.safetensors",
|
| 499 |
-
"model.layers.25.self_attn.q_proj.weight": "model.safetensors",
|
| 500 |
-
"model.layers.25.self_attn.v_proj.bias": "model.safetensors",
|
| 501 |
-
"model.layers.25.self_attn.v_proj.biases": "model.safetensors",
|
| 502 |
-
"model.layers.25.self_attn.v_proj.scales": "model.safetensors",
|
| 503 |
-
"model.layers.25.self_attn.v_proj.weight": "model.safetensors",
|
| 504 |
-
"model.layers.26.input_layernorm.weight": "model.safetensors",
|
| 505 |
-
"model.layers.26.mlp.down_proj.biases": "model.safetensors",
|
| 506 |
-
"model.layers.26.mlp.down_proj.scales": "model.safetensors",
|
| 507 |
-
"model.layers.26.mlp.down_proj.weight": "model.safetensors",
|
| 508 |
-
"model.layers.26.mlp.gate_proj.biases": "model.safetensors",
|
| 509 |
-
"model.layers.26.mlp.gate_proj.scales": "model.safetensors",
|
| 510 |
-
"model.layers.26.mlp.gate_proj.weight": "model.safetensors",
|
| 511 |
-
"model.layers.26.mlp.up_proj.biases": "model.safetensors",
|
| 512 |
-
"model.layers.26.mlp.up_proj.scales": "model.safetensors",
|
| 513 |
-
"model.layers.26.mlp.up_proj.weight": "model.safetensors",
|
| 514 |
-
"model.layers.26.post_attention_layernorm.weight": "model.safetensors",
|
| 515 |
-
"model.layers.26.self_attn.k_proj.bias": "model.safetensors",
|
| 516 |
-
"model.layers.26.self_attn.k_proj.biases": "model.safetensors",
|
| 517 |
-
"model.layers.26.self_attn.k_proj.scales": "model.safetensors",
|
| 518 |
-
"model.layers.26.self_attn.k_proj.weight": "model.safetensors",
|
| 519 |
-
"model.layers.26.self_attn.o_proj.biases": "model.safetensors",
|
| 520 |
-
"model.layers.26.self_attn.o_proj.scales": "model.safetensors",
|
| 521 |
-
"model.layers.26.self_attn.o_proj.weight": "model.safetensors",
|
| 522 |
-
"model.layers.26.self_attn.q_proj.bias": "model.safetensors",
|
| 523 |
-
"model.layers.26.self_attn.q_proj.biases": "model.safetensors",
|
| 524 |
-
"model.layers.26.self_attn.q_proj.scales": "model.safetensors",
|
| 525 |
-
"model.layers.26.self_attn.q_proj.weight": "model.safetensors",
|
| 526 |
-
"model.layers.26.self_attn.v_proj.bias": "model.safetensors",
|
| 527 |
-
"model.layers.26.self_attn.v_proj.biases": "model.safetensors",
|
| 528 |
-
"model.layers.26.self_attn.v_proj.scales": "model.safetensors",
|
| 529 |
-
"model.layers.26.self_attn.v_proj.weight": "model.safetensors",
|
| 530 |
-
"model.layers.27.input_layernorm.weight": "model.safetensors",
|
| 531 |
-
"model.layers.27.mlp.down_proj.biases": "model.safetensors",
|
| 532 |
-
"model.layers.27.mlp.down_proj.scales": "model.safetensors",
|
| 533 |
-
"model.layers.27.mlp.down_proj.weight": "model.safetensors",
|
| 534 |
-
"model.layers.27.mlp.gate_proj.biases": "model.safetensors",
|
| 535 |
-
"model.layers.27.mlp.gate_proj.scales": "model.safetensors",
|
| 536 |
-
"model.layers.27.mlp.gate_proj.weight": "model.safetensors",
|
| 537 |
-
"model.layers.27.mlp.up_proj.biases": "model.safetensors",
|
| 538 |
-
"model.layers.27.mlp.up_proj.scales": "model.safetensors",
|
| 539 |
-
"model.layers.27.mlp.up_proj.weight": "model.safetensors",
|
| 540 |
-
"model.layers.27.post_attention_layernorm.weight": "model.safetensors",
|
| 541 |
-
"model.layers.27.self_attn.k_proj.bias": "model.safetensors",
|
| 542 |
-
"model.layers.27.self_attn.k_proj.biases": "model.safetensors",
|
| 543 |
-
"model.layers.27.self_attn.k_proj.scales": "model.safetensors",
|
| 544 |
-
"model.layers.27.self_attn.k_proj.weight": "model.safetensors",
|
| 545 |
-
"model.layers.27.self_attn.o_proj.biases": "model.safetensors",
|
| 546 |
-
"model.layers.27.self_attn.o_proj.scales": "model.safetensors",
|
| 547 |
-
"model.layers.27.self_attn.o_proj.weight": "model.safetensors",
|
| 548 |
-
"model.layers.27.self_attn.q_proj.bias": "model.safetensors",
|
| 549 |
-
"model.layers.27.self_attn.q_proj.biases": "model.safetensors",
|
| 550 |
-
"model.layers.27.self_attn.q_proj.scales": "model.safetensors",
|
| 551 |
-
"model.layers.27.self_attn.q_proj.weight": "model.safetensors",
|
| 552 |
-
"model.layers.27.self_attn.v_proj.bias": "model.safetensors",
|
| 553 |
-
"model.layers.27.self_attn.v_proj.biases": "model.safetensors",
|
| 554 |
-
"model.layers.27.self_attn.v_proj.scales": "model.safetensors",
|
| 555 |
-
"model.layers.27.self_attn.v_proj.weight": "model.safetensors",
|
| 556 |
-
"model.layers.28.input_layernorm.weight": "model.safetensors",
|
| 557 |
-
"model.layers.28.mlp.down_proj.biases": "model.safetensors",
|
| 558 |
-
"model.layers.28.mlp.down_proj.scales": "model.safetensors",
|
| 559 |
-
"model.layers.28.mlp.down_proj.weight": "model.safetensors",
|
| 560 |
-
"model.layers.28.mlp.gate_proj.biases": "model.safetensors",
|
| 561 |
-
"model.layers.28.mlp.gate_proj.scales": "model.safetensors",
|
| 562 |
-
"model.layers.28.mlp.gate_proj.weight": "model.safetensors",
|
| 563 |
-
"model.layers.28.mlp.up_proj.biases": "model.safetensors",
|
| 564 |
-
"model.layers.28.mlp.up_proj.scales": "model.safetensors",
|
| 565 |
-
"model.layers.28.mlp.up_proj.weight": "model.safetensors",
|
| 566 |
-
"model.layers.28.post_attention_layernorm.weight": "model.safetensors",
|
| 567 |
-
"model.layers.28.self_attn.k_proj.bias": "model.safetensors",
|
| 568 |
-
"model.layers.28.self_attn.k_proj.biases": "model.safetensors",
|
| 569 |
-
"model.layers.28.self_attn.k_proj.scales": "model.safetensors",
|
| 570 |
-
"model.layers.28.self_attn.k_proj.weight": "model.safetensors",
|
| 571 |
-
"model.layers.28.self_attn.o_proj.biases": "model.safetensors",
|
| 572 |
-
"model.layers.28.self_attn.o_proj.scales": "model.safetensors",
|
| 573 |
-
"model.layers.28.self_attn.o_proj.weight": "model.safetensors",
|
| 574 |
-
"model.layers.28.self_attn.q_proj.bias": "model.safetensors",
|
| 575 |
-
"model.layers.28.self_attn.q_proj.biases": "model.safetensors",
|
| 576 |
-
"model.layers.28.self_attn.q_proj.scales": "model.safetensors",
|
| 577 |
-
"model.layers.28.self_attn.q_proj.weight": "model.safetensors",
|
| 578 |
-
"model.layers.28.self_attn.v_proj.bias": "model.safetensors",
|
| 579 |
-
"model.layers.28.self_attn.v_proj.biases": "model.safetensors",
|
| 580 |
-
"model.layers.28.self_attn.v_proj.scales": "model.safetensors",
|
| 581 |
-
"model.layers.28.self_attn.v_proj.weight": "model.safetensors",
|
| 582 |
-
"model.layers.29.input_layernorm.weight": "model.safetensors",
|
| 583 |
-
"model.layers.29.mlp.down_proj.biases": "model.safetensors",
|
| 584 |
-
"model.layers.29.mlp.down_proj.scales": "model.safetensors",
|
| 585 |
-
"model.layers.29.mlp.down_proj.weight": "model.safetensors",
|
| 586 |
-
"model.layers.29.mlp.gate_proj.biases": "model.safetensors",
|
| 587 |
-
"model.layers.29.mlp.gate_proj.scales": "model.safetensors",
|
| 588 |
-
"model.layers.29.mlp.gate_proj.weight": "model.safetensors",
|
| 589 |
-
"model.layers.29.mlp.up_proj.biases": "model.safetensors",
|
| 590 |
-
"model.layers.29.mlp.up_proj.scales": "model.safetensors",
|
| 591 |
-
"model.layers.29.mlp.up_proj.weight": "model.safetensors",
|
| 592 |
-
"model.layers.29.post_attention_layernorm.weight": "model.safetensors",
|
| 593 |
-
"model.layers.29.self_attn.k_proj.bias": "model.safetensors",
|
| 594 |
-
"model.layers.29.self_attn.k_proj.biases": "model.safetensors",
|
| 595 |
-
"model.layers.29.self_attn.k_proj.scales": "model.safetensors",
|
| 596 |
-
"model.layers.29.self_attn.k_proj.weight": "model.safetensors",
|
| 597 |
-
"model.layers.29.self_attn.o_proj.biases": "model.safetensors",
|
| 598 |
-
"model.layers.29.self_attn.o_proj.scales": "model.safetensors",
|
| 599 |
-
"model.layers.29.self_attn.o_proj.weight": "model.safetensors",
|
| 600 |
-
"model.layers.29.self_attn.q_proj.bias": "model.safetensors",
|
| 601 |
-
"model.layers.29.self_attn.q_proj.biases": "model.safetensors",
|
| 602 |
-
"model.layers.29.self_attn.q_proj.scales": "model.safetensors",
|
| 603 |
-
"model.layers.29.self_attn.q_proj.weight": "model.safetensors",
|
| 604 |
-
"model.layers.29.self_attn.v_proj.bias": "model.safetensors",
|
| 605 |
-
"model.layers.29.self_attn.v_proj.biases": "model.safetensors",
|
| 606 |
-
"model.layers.29.self_attn.v_proj.scales": "model.safetensors",
|
| 607 |
-
"model.layers.29.self_attn.v_proj.weight": "model.safetensors",
|
| 608 |
-
"model.layers.3.input_layernorm.weight": "model.safetensors",
|
| 609 |
-
"model.layers.3.mlp.down_proj.biases": "model.safetensors",
|
| 610 |
-
"model.layers.3.mlp.down_proj.scales": "model.safetensors",
|
| 611 |
-
"model.layers.3.mlp.down_proj.weight": "model.safetensors",
|
| 612 |
-
"model.layers.3.mlp.gate_proj.biases": "model.safetensors",
|
| 613 |
-
"model.layers.3.mlp.gate_proj.scales": "model.safetensors",
|
| 614 |
-
"model.layers.3.mlp.gate_proj.weight": "model.safetensors",
|
| 615 |
-
"model.layers.3.mlp.up_proj.biases": "model.safetensors",
|
| 616 |
-
"model.layers.3.mlp.up_proj.scales": "model.safetensors",
|
| 617 |
-
"model.layers.3.mlp.up_proj.weight": "model.safetensors",
|
| 618 |
-
"model.layers.3.post_attention_layernorm.weight": "model.safetensors",
|
| 619 |
-
"model.layers.3.self_attn.k_proj.bias": "model.safetensors",
|
| 620 |
-
"model.layers.3.self_attn.k_proj.biases": "model.safetensors",
|
| 621 |
-
"model.layers.3.self_attn.k_proj.scales": "model.safetensors",
|
| 622 |
-
"model.layers.3.self_attn.k_proj.weight": "model.safetensors",
|
| 623 |
-
"model.layers.3.self_attn.o_proj.biases": "model.safetensors",
|
| 624 |
-
"model.layers.3.self_attn.o_proj.scales": "model.safetensors",
|
| 625 |
-
"model.layers.3.self_attn.o_proj.weight": "model.safetensors",
|
| 626 |
-
"model.layers.3.self_attn.q_proj.bias": "model.safetensors",
|
| 627 |
-
"model.layers.3.self_attn.q_proj.biases": "model.safetensors",
|
| 628 |
-
"model.layers.3.self_attn.q_proj.scales": "model.safetensors",
|
| 629 |
-
"model.layers.3.self_attn.q_proj.weight": "model.safetensors",
|
| 630 |
-
"model.layers.3.self_attn.v_proj.bias": "model.safetensors",
|
| 631 |
-
"model.layers.3.self_attn.v_proj.biases": "model.safetensors",
|
| 632 |
-
"model.layers.3.self_attn.v_proj.scales": "model.safetensors",
|
| 633 |
-
"model.layers.3.self_attn.v_proj.weight": "model.safetensors",
|
| 634 |
-
"model.layers.30.input_layernorm.weight": "model.safetensors",
|
| 635 |
-
"model.layers.30.mlp.down_proj.biases": "model.safetensors",
|
| 636 |
-
"model.layers.30.mlp.down_proj.scales": "model.safetensors",
|
| 637 |
-
"model.layers.30.mlp.down_proj.weight": "model.safetensors",
|
| 638 |
-
"model.layers.30.mlp.gate_proj.biases": "model.safetensors",
|
| 639 |
-
"model.layers.30.mlp.gate_proj.scales": "model.safetensors",
|
| 640 |
-
"model.layers.30.mlp.gate_proj.weight": "model.safetensors",
|
| 641 |
-
"model.layers.30.mlp.up_proj.biases": "model.safetensors",
|
| 642 |
-
"model.layers.30.mlp.up_proj.scales": "model.safetensors",
|
| 643 |
-
"model.layers.30.mlp.up_proj.weight": "model.safetensors",
|
| 644 |
-
"model.layers.30.post_attention_layernorm.weight": "model.safetensors",
|
| 645 |
-
"model.layers.30.self_attn.k_proj.bias": "model.safetensors",
|
| 646 |
-
"model.layers.30.self_attn.k_proj.biases": "model.safetensors",
|
| 647 |
-
"model.layers.30.self_attn.k_proj.scales": "model.safetensors",
|
| 648 |
-
"model.layers.30.self_attn.k_proj.weight": "model.safetensors",
|
| 649 |
-
"model.layers.30.self_attn.o_proj.biases": "model.safetensors",
|
| 650 |
-
"model.layers.30.self_attn.o_proj.scales": "model.safetensors",
|
| 651 |
-
"model.layers.30.self_attn.o_proj.weight": "model.safetensors",
|
| 652 |
-
"model.layers.30.self_attn.q_proj.bias": "model.safetensors",
|
| 653 |
-
"model.layers.30.self_attn.q_proj.biases": "model.safetensors",
|
| 654 |
-
"model.layers.30.self_attn.q_proj.scales": "model.safetensors",
|
| 655 |
-
"model.layers.30.self_attn.q_proj.weight": "model.safetensors",
|
| 656 |
-
"model.layers.30.self_attn.v_proj.bias": "model.safetensors",
|
| 657 |
-
"model.layers.30.self_attn.v_proj.biases": "model.safetensors",
|
| 658 |
-
"model.layers.30.self_attn.v_proj.scales": "model.safetensors",
|
| 659 |
-
"model.layers.30.self_attn.v_proj.weight": "model.safetensors",
|
| 660 |
-
"model.layers.31.input_layernorm.weight": "model.safetensors",
|
| 661 |
-
"model.layers.31.mlp.down_proj.biases": "model.safetensors",
|
| 662 |
-
"model.layers.31.mlp.down_proj.scales": "model.safetensors",
|
| 663 |
-
"model.layers.31.mlp.down_proj.weight": "model.safetensors",
|
| 664 |
-
"model.layers.31.mlp.gate_proj.biases": "model.safetensors",
|
| 665 |
-
"model.layers.31.mlp.gate_proj.scales": "model.safetensors",
|
| 666 |
-
"model.layers.31.mlp.gate_proj.weight": "model.safetensors",
|
| 667 |
-
"model.layers.31.mlp.up_proj.biases": "model.safetensors",
|
| 668 |
-
"model.layers.31.mlp.up_proj.scales": "model.safetensors",
|
| 669 |
-
"model.layers.31.mlp.up_proj.weight": "model.safetensors",
|
| 670 |
-
"model.layers.31.post_attention_layernorm.weight": "model.safetensors",
|
| 671 |
-
"model.layers.31.self_attn.k_proj.bias": "model.safetensors",
|
| 672 |
-
"model.layers.31.self_attn.k_proj.biases": "model.safetensors",
|
| 673 |
-
"model.layers.31.self_attn.k_proj.scales": "model.safetensors",
|
| 674 |
-
"model.layers.31.self_attn.k_proj.weight": "model.safetensors",
|
| 675 |
-
"model.layers.31.self_attn.o_proj.biases": "model.safetensors",
|
| 676 |
-
"model.layers.31.self_attn.o_proj.scales": "model.safetensors",
|
| 677 |
-
"model.layers.31.self_attn.o_proj.weight": "model.safetensors",
|
| 678 |
-
"model.layers.31.self_attn.q_proj.bias": "model.safetensors",
|
| 679 |
-
"model.layers.31.self_attn.q_proj.biases": "model.safetensors",
|
| 680 |
-
"model.layers.31.self_attn.q_proj.scales": "model.safetensors",
|
| 681 |
-
"model.layers.31.self_attn.q_proj.weight": "model.safetensors",
|
| 682 |
-
"model.layers.31.self_attn.v_proj.bias": "model.safetensors",
|
| 683 |
-
"model.layers.31.self_attn.v_proj.biases": "model.safetensors",
|
| 684 |
-
"model.layers.31.self_attn.v_proj.scales": "model.safetensors",
|
| 685 |
-
"model.layers.31.self_attn.v_proj.weight": "model.safetensors",
|
| 686 |
-
"model.layers.32.input_layernorm.weight": "model.safetensors",
|
| 687 |
-
"model.layers.32.mlp.down_proj.biases": "model.safetensors",
|
| 688 |
-
"model.layers.32.mlp.down_proj.scales": "model.safetensors",
|
| 689 |
-
"model.layers.32.mlp.down_proj.weight": "model.safetensors",
|
| 690 |
-
"model.layers.32.mlp.gate_proj.biases": "model.safetensors",
|
| 691 |
-
"model.layers.32.mlp.gate_proj.scales": "model.safetensors",
|
| 692 |
-
"model.layers.32.mlp.gate_proj.weight": "model.safetensors",
|
| 693 |
-
"model.layers.32.mlp.up_proj.biases": "model.safetensors",
|
| 694 |
-
"model.layers.32.mlp.up_proj.scales": "model.safetensors",
|
| 695 |
-
"model.layers.32.mlp.up_proj.weight": "model.safetensors",
|
| 696 |
-
"model.layers.32.post_attention_layernorm.weight": "model.safetensors",
|
| 697 |
-
"model.layers.32.self_attn.k_proj.bias": "model.safetensors",
|
| 698 |
-
"model.layers.32.self_attn.k_proj.biases": "model.safetensors",
|
| 699 |
-
"model.layers.32.self_attn.k_proj.scales": "model.safetensors",
|
| 700 |
-
"model.layers.32.self_attn.k_proj.weight": "model.safetensors",
|
| 701 |
-
"model.layers.32.self_attn.o_proj.biases": "model.safetensors",
|
| 702 |
-
"model.layers.32.self_attn.o_proj.scales": "model.safetensors",
|
| 703 |
-
"model.layers.32.self_attn.o_proj.weight": "model.safetensors",
|
| 704 |
-
"model.layers.32.self_attn.q_proj.bias": "model.safetensors",
|
| 705 |
-
"model.layers.32.self_attn.q_proj.biases": "model.safetensors",
|
| 706 |
-
"model.layers.32.self_attn.q_proj.scales": "model.safetensors",
|
| 707 |
-
"model.layers.32.self_attn.q_proj.weight": "model.safetensors",
|
| 708 |
-
"model.layers.32.self_attn.v_proj.bias": "model.safetensors",
|
| 709 |
-
"model.layers.32.self_attn.v_proj.biases": "model.safetensors",
|
| 710 |
-
"model.layers.32.self_attn.v_proj.scales": "model.safetensors",
|
| 711 |
-
"model.layers.32.self_attn.v_proj.weight": "model.safetensors",
|
| 712 |
-
"model.layers.33.input_layernorm.weight": "model.safetensors",
|
| 713 |
-
"model.layers.33.mlp.down_proj.biases": "model.safetensors",
|
| 714 |
-
"model.layers.33.mlp.down_proj.scales": "model.safetensors",
|
| 715 |
-
"model.layers.33.mlp.down_proj.weight": "model.safetensors",
|
| 716 |
-
"model.layers.33.mlp.gate_proj.biases": "model.safetensors",
|
| 717 |
-
"model.layers.33.mlp.gate_proj.scales": "model.safetensors",
|
| 718 |
-
"model.layers.33.mlp.gate_proj.weight": "model.safetensors",
|
| 719 |
-
"model.layers.33.mlp.up_proj.biases": "model.safetensors",
|
| 720 |
-
"model.layers.33.mlp.up_proj.scales": "model.safetensors",
|
| 721 |
-
"model.layers.33.mlp.up_proj.weight": "model.safetensors",
|
| 722 |
-
"model.layers.33.post_attention_layernorm.weight": "model.safetensors",
|
| 723 |
-
"model.layers.33.self_attn.k_proj.bias": "model.safetensors",
|
| 724 |
-
"model.layers.33.self_attn.k_proj.biases": "model.safetensors",
|
| 725 |
-
"model.layers.33.self_attn.k_proj.scales": "model.safetensors",
|
| 726 |
-
"model.layers.33.self_attn.k_proj.weight": "model.safetensors",
|
| 727 |
-
"model.layers.33.self_attn.o_proj.biases": "model.safetensors",
|
| 728 |
-
"model.layers.33.self_attn.o_proj.scales": "model.safetensors",
|
| 729 |
-
"model.layers.33.self_attn.o_proj.weight": "model.safetensors",
|
| 730 |
-
"model.layers.33.self_attn.q_proj.bias": "model.safetensors",
|
| 731 |
-
"model.layers.33.self_attn.q_proj.biases": "model.safetensors",
|
| 732 |
-
"model.layers.33.self_attn.q_proj.scales": "model.safetensors",
|
| 733 |
-
"model.layers.33.self_attn.q_proj.weight": "model.safetensors",
|
| 734 |
-
"model.layers.33.self_attn.v_proj.bias": "model.safetensors",
|
| 735 |
-
"model.layers.33.self_attn.v_proj.biases": "model.safetensors",
|
| 736 |
-
"model.layers.33.self_attn.v_proj.scales": "model.safetensors",
|
| 737 |
-
"model.layers.33.self_attn.v_proj.weight": "model.safetensors",
|
| 738 |
-
"model.layers.34.input_layernorm.weight": "model.safetensors",
|
| 739 |
-
"model.layers.34.mlp.down_proj.biases": "model.safetensors",
|
| 740 |
-
"model.layers.34.mlp.down_proj.scales": "model.safetensors",
|
| 741 |
-
"model.layers.34.mlp.down_proj.weight": "model.safetensors",
|
| 742 |
-
"model.layers.34.mlp.gate_proj.biases": "model.safetensors",
|
| 743 |
-
"model.layers.34.mlp.gate_proj.scales": "model.safetensors",
|
| 744 |
-
"model.layers.34.mlp.gate_proj.weight": "model.safetensors",
|
| 745 |
-
"model.layers.34.mlp.up_proj.biases": "model.safetensors",
|
| 746 |
-
"model.layers.34.mlp.up_proj.scales": "model.safetensors",
|
| 747 |
-
"model.layers.34.mlp.up_proj.weight": "model.safetensors",
|
| 748 |
-
"model.layers.34.post_attention_layernorm.weight": "model.safetensors",
|
| 749 |
-
"model.layers.34.self_attn.k_proj.bias": "model.safetensors",
|
| 750 |
-
"model.layers.34.self_attn.k_proj.biases": "model.safetensors",
|
| 751 |
-
"model.layers.34.self_attn.k_proj.scales": "model.safetensors",
|
| 752 |
-
"model.layers.34.self_attn.k_proj.weight": "model.safetensors",
|
| 753 |
-
"model.layers.34.self_attn.o_proj.biases": "model.safetensors",
|
| 754 |
-
"model.layers.34.self_attn.o_proj.scales": "model.safetensors",
|
| 755 |
-
"model.layers.34.self_attn.o_proj.weight": "model.safetensors",
|
| 756 |
-
"model.layers.34.self_attn.q_proj.bias": "model.safetensors",
|
| 757 |
-
"model.layers.34.self_attn.q_proj.biases": "model.safetensors",
|
| 758 |
-
"model.layers.34.self_attn.q_proj.scales": "model.safetensors",
|
| 759 |
-
"model.layers.34.self_attn.q_proj.weight": "model.safetensors",
|
| 760 |
-
"model.layers.34.self_attn.v_proj.bias": "model.safetensors",
|
| 761 |
-
"model.layers.34.self_attn.v_proj.biases": "model.safetensors",
|
| 762 |
-
"model.layers.34.self_attn.v_proj.scales": "model.safetensors",
|
| 763 |
-
"model.layers.34.self_attn.v_proj.weight": "model.safetensors",
|
| 764 |
-
"model.layers.35.input_layernorm.weight": "model.safetensors",
|
| 765 |
-
"model.layers.35.mlp.down_proj.biases": "model.safetensors",
|
| 766 |
-
"model.layers.35.mlp.down_proj.scales": "model.safetensors",
|
| 767 |
-
"model.layers.35.mlp.down_proj.weight": "model.safetensors",
|
| 768 |
-
"model.layers.35.mlp.gate_proj.biases": "model.safetensors",
|
| 769 |
-
"model.layers.35.mlp.gate_proj.scales": "model.safetensors",
|
| 770 |
-
"model.layers.35.mlp.gate_proj.weight": "model.safetensors",
|
| 771 |
-
"model.layers.35.mlp.up_proj.biases": "model.safetensors",
|
| 772 |
-
"model.layers.35.mlp.up_proj.scales": "model.safetensors",
|
| 773 |
-
"model.layers.35.mlp.up_proj.weight": "model.safetensors",
|
| 774 |
-
"model.layers.35.post_attention_layernorm.weight": "model.safetensors",
|
| 775 |
-
"model.layers.35.self_attn.k_proj.bias": "model.safetensors",
|
| 776 |
-
"model.layers.35.self_attn.k_proj.biases": "model.safetensors",
|
| 777 |
-
"model.layers.35.self_attn.k_proj.scales": "model.safetensors",
|
| 778 |
-
"model.layers.35.self_attn.k_proj.weight": "model.safetensors",
|
| 779 |
-
"model.layers.35.self_attn.o_proj.biases": "model.safetensors",
|
| 780 |
-
"model.layers.35.self_attn.o_proj.scales": "model.safetensors",
|
| 781 |
-
"model.layers.35.self_attn.o_proj.weight": "model.safetensors",
|
| 782 |
-
"model.layers.35.self_attn.q_proj.bias": "model.safetensors",
|
| 783 |
-
"model.layers.35.self_attn.q_proj.biases": "model.safetensors",
|
| 784 |
-
"model.layers.35.self_attn.q_proj.scales": "model.safetensors",
|
| 785 |
-
"model.layers.35.self_attn.q_proj.weight": "model.safetensors",
|
| 786 |
-
"model.layers.35.self_attn.v_proj.bias": "model.safetensors",
|
| 787 |
-
"model.layers.35.self_attn.v_proj.biases": "model.safetensors",
|
| 788 |
-
"model.layers.35.self_attn.v_proj.scales": "model.safetensors",
|
| 789 |
-
"model.layers.35.self_attn.v_proj.weight": "model.safetensors",
|
| 790 |
-
"model.layers.4.input_layernorm.weight": "model.safetensors",
|
| 791 |
-
"model.layers.4.mlp.down_proj.biases": "model.safetensors",
|
| 792 |
-
"model.layers.4.mlp.down_proj.scales": "model.safetensors",
|
| 793 |
-
"model.layers.4.mlp.down_proj.weight": "model.safetensors",
|
| 794 |
-
"model.layers.4.mlp.gate_proj.biases": "model.safetensors",
|
| 795 |
-
"model.layers.4.mlp.gate_proj.scales": "model.safetensors",
|
| 796 |
-
"model.layers.4.mlp.gate_proj.weight": "model.safetensors",
|
| 797 |
-
"model.layers.4.mlp.up_proj.biases": "model.safetensors",
|
| 798 |
-
"model.layers.4.mlp.up_proj.scales": "model.safetensors",
|
| 799 |
-
"model.layers.4.mlp.up_proj.weight": "model.safetensors",
|
| 800 |
-
"model.layers.4.post_attention_layernorm.weight": "model.safetensors",
|
| 801 |
-
"model.layers.4.self_attn.k_proj.bias": "model.safetensors",
|
| 802 |
-
"model.layers.4.self_attn.k_proj.biases": "model.safetensors",
|
| 803 |
-
"model.layers.4.self_attn.k_proj.scales": "model.safetensors",
|
| 804 |
-
"model.layers.4.self_attn.k_proj.weight": "model.safetensors",
|
| 805 |
-
"model.layers.4.self_attn.o_proj.biases": "model.safetensors",
|
| 806 |
-
"model.layers.4.self_attn.o_proj.scales": "model.safetensors",
|
| 807 |
-
"model.layers.4.self_attn.o_proj.weight": "model.safetensors",
|
| 808 |
-
"model.layers.4.self_attn.q_proj.bias": "model.safetensors",
|
| 809 |
-
"model.layers.4.self_attn.q_proj.biases": "model.safetensors",
|
| 810 |
-
"model.layers.4.self_attn.q_proj.scales": "model.safetensors",
|
| 811 |
-
"model.layers.4.self_attn.q_proj.weight": "model.safetensors",
|
| 812 |
-
"model.layers.4.self_attn.v_proj.bias": "model.safetensors",
|
| 813 |
-
"model.layers.4.self_attn.v_proj.biases": "model.safetensors",
|
| 814 |
-
"model.layers.4.self_attn.v_proj.scales": "model.safetensors",
|
| 815 |
-
"model.layers.4.self_attn.v_proj.weight": "model.safetensors",
|
| 816 |
-
"model.layers.5.input_layernorm.weight": "model.safetensors",
|
| 817 |
-
"model.layers.5.mlp.down_proj.biases": "model.safetensors",
|
| 818 |
-
"model.layers.5.mlp.down_proj.scales": "model.safetensors",
|
| 819 |
-
"model.layers.5.mlp.down_proj.weight": "model.safetensors",
|
| 820 |
-
"model.layers.5.mlp.gate_proj.biases": "model.safetensors",
|
| 821 |
-
"model.layers.5.mlp.gate_proj.scales": "model.safetensors",
|
| 822 |
-
"model.layers.5.mlp.gate_proj.weight": "model.safetensors",
|
| 823 |
-
"model.layers.5.mlp.up_proj.biases": "model.safetensors",
|
| 824 |
-
"model.layers.5.mlp.up_proj.scales": "model.safetensors",
|
| 825 |
-
"model.layers.5.mlp.up_proj.weight": "model.safetensors",
|
| 826 |
-
"model.layers.5.post_attention_layernorm.weight": "model.safetensors",
|
| 827 |
-
"model.layers.5.self_attn.k_proj.bias": "model.safetensors",
|
| 828 |
-
"model.layers.5.self_attn.k_proj.biases": "model.safetensors",
|
| 829 |
-
"model.layers.5.self_attn.k_proj.scales": "model.safetensors",
|
| 830 |
-
"model.layers.5.self_attn.k_proj.weight": "model.safetensors",
|
| 831 |
-
"model.layers.5.self_attn.o_proj.biases": "model.safetensors",
|
| 832 |
-
"model.layers.5.self_attn.o_proj.scales": "model.safetensors",
|
| 833 |
-
"model.layers.5.self_attn.o_proj.weight": "model.safetensors",
|
| 834 |
-
"model.layers.5.self_attn.q_proj.bias": "model.safetensors",
|
| 835 |
-
"model.layers.5.self_attn.q_proj.biases": "model.safetensors",
|
| 836 |
-
"model.layers.5.self_attn.q_proj.scales": "model.safetensors",
|
| 837 |
-
"model.layers.5.self_attn.q_proj.weight": "model.safetensors",
|
| 838 |
-
"model.layers.5.self_attn.v_proj.bias": "model.safetensors",
|
| 839 |
-
"model.layers.5.self_attn.v_proj.biases": "model.safetensors",
|
| 840 |
-
"model.layers.5.self_attn.v_proj.scales": "model.safetensors",
|
| 841 |
-
"model.layers.5.self_attn.v_proj.weight": "model.safetensors",
|
| 842 |
-
"model.layers.6.input_layernorm.weight": "model.safetensors",
|
| 843 |
-
"model.layers.6.mlp.down_proj.biases": "model.safetensors",
|
| 844 |
-
"model.layers.6.mlp.down_proj.scales": "model.safetensors",
|
| 845 |
-
"model.layers.6.mlp.down_proj.weight": "model.safetensors",
|
| 846 |
-
"model.layers.6.mlp.gate_proj.biases": "model.safetensors",
|
| 847 |
-
"model.layers.6.mlp.gate_proj.scales": "model.safetensors",
|
| 848 |
-
"model.layers.6.mlp.gate_proj.weight": "model.safetensors",
|
| 849 |
-
"model.layers.6.mlp.up_proj.biases": "model.safetensors",
|
| 850 |
-
"model.layers.6.mlp.up_proj.scales": "model.safetensors",
|
| 851 |
-
"model.layers.6.mlp.up_proj.weight": "model.safetensors",
|
| 852 |
-
"model.layers.6.post_attention_layernorm.weight": "model.safetensors",
|
| 853 |
-
"model.layers.6.self_attn.k_proj.bias": "model.safetensors",
|
| 854 |
-
"model.layers.6.self_attn.k_proj.biases": "model.safetensors",
|
| 855 |
-
"model.layers.6.self_attn.k_proj.scales": "model.safetensors",
|
| 856 |
-
"model.layers.6.self_attn.k_proj.weight": "model.safetensors",
|
| 857 |
-
"model.layers.6.self_attn.o_proj.biases": "model.safetensors",
|
| 858 |
-
"model.layers.6.self_attn.o_proj.scales": "model.safetensors",
|
| 859 |
-
"model.layers.6.self_attn.o_proj.weight": "model.safetensors",
|
| 860 |
-
"model.layers.6.self_attn.q_proj.bias": "model.safetensors",
|
| 861 |
-
"model.layers.6.self_attn.q_proj.biases": "model.safetensors",
|
| 862 |
-
"model.layers.6.self_attn.q_proj.scales": "model.safetensors",
|
| 863 |
-
"model.layers.6.self_attn.q_proj.weight": "model.safetensors",
|
| 864 |
-
"model.layers.6.self_attn.v_proj.bias": "model.safetensors",
|
| 865 |
-
"model.layers.6.self_attn.v_proj.biases": "model.safetensors",
|
| 866 |
-
"model.layers.6.self_attn.v_proj.scales": "model.safetensors",
|
| 867 |
-
"model.layers.6.self_attn.v_proj.weight": "model.safetensors",
|
| 868 |
-
"model.layers.7.input_layernorm.weight": "model.safetensors",
|
| 869 |
-
"model.layers.7.mlp.down_proj.biases": "model.safetensors",
|
| 870 |
-
"model.layers.7.mlp.down_proj.scales": "model.safetensors",
|
| 871 |
-
"model.layers.7.mlp.down_proj.weight": "model.safetensors",
|
| 872 |
-
"model.layers.7.mlp.gate_proj.biases": "model.safetensors",
|
| 873 |
-
"model.layers.7.mlp.gate_proj.scales": "model.safetensors",
|
| 874 |
-
"model.layers.7.mlp.gate_proj.weight": "model.safetensors",
|
| 875 |
-
"model.layers.7.mlp.up_proj.biases": "model.safetensors",
|
| 876 |
-
"model.layers.7.mlp.up_proj.scales": "model.safetensors",
|
| 877 |
-
"model.layers.7.mlp.up_proj.weight": "model.safetensors",
|
| 878 |
-
"model.layers.7.post_attention_layernorm.weight": "model.safetensors",
|
| 879 |
-
"model.layers.7.self_attn.k_proj.bias": "model.safetensors",
|
| 880 |
-
"model.layers.7.self_attn.k_proj.biases": "model.safetensors",
|
| 881 |
-
"model.layers.7.self_attn.k_proj.scales": "model.safetensors",
|
| 882 |
-
"model.layers.7.self_attn.k_proj.weight": "model.safetensors",
|
| 883 |
-
"model.layers.7.self_attn.o_proj.biases": "model.safetensors",
|
| 884 |
-
"model.layers.7.self_attn.o_proj.scales": "model.safetensors",
|
| 885 |
-
"model.layers.7.self_attn.o_proj.weight": "model.safetensors",
|
| 886 |
-
"model.layers.7.self_attn.q_proj.bias": "model.safetensors",
|
| 887 |
-
"model.layers.7.self_attn.q_proj.biases": "model.safetensors",
|
| 888 |
-
"model.layers.7.self_attn.q_proj.scales": "model.safetensors",
|
| 889 |
-
"model.layers.7.self_attn.q_proj.weight": "model.safetensors",
|
| 890 |
-
"model.layers.7.self_attn.v_proj.bias": "model.safetensors",
|
| 891 |
-
"model.layers.7.self_attn.v_proj.biases": "model.safetensors",
|
| 892 |
-
"model.layers.7.self_attn.v_proj.scales": "model.safetensors",
|
| 893 |
-
"model.layers.7.self_attn.v_proj.weight": "model.safetensors",
|
| 894 |
-
"model.layers.8.input_layernorm.weight": "model.safetensors",
|
| 895 |
-
"model.layers.8.mlp.down_proj.biases": "model.safetensors",
|
| 896 |
-
"model.layers.8.mlp.down_proj.scales": "model.safetensors",
|
| 897 |
-
"model.layers.8.mlp.down_proj.weight": "model.safetensors",
|
| 898 |
-
"model.layers.8.mlp.gate_proj.biases": "model.safetensors",
|
| 899 |
-
"model.layers.8.mlp.gate_proj.scales": "model.safetensors",
|
| 900 |
-
"model.layers.8.mlp.gate_proj.weight": "model.safetensors",
|
| 901 |
-
"model.layers.8.mlp.up_proj.biases": "model.safetensors",
|
| 902 |
-
"model.layers.8.mlp.up_proj.scales": "model.safetensors",
|
| 903 |
-
"model.layers.8.mlp.up_proj.weight": "model.safetensors",
|
| 904 |
-
"model.layers.8.post_attention_layernorm.weight": "model.safetensors",
|
| 905 |
-
"model.layers.8.self_attn.k_proj.bias": "model.safetensors",
|
| 906 |
-
"model.layers.8.self_attn.k_proj.biases": "model.safetensors",
|
| 907 |
-
"model.layers.8.self_attn.k_proj.scales": "model.safetensors",
|
| 908 |
-
"model.layers.8.self_attn.k_proj.weight": "model.safetensors",
|
| 909 |
-
"model.layers.8.self_attn.o_proj.biases": "model.safetensors",
|
| 910 |
-
"model.layers.8.self_attn.o_proj.scales": "model.safetensors",
|
| 911 |
-
"model.layers.8.self_attn.o_proj.weight": "model.safetensors",
|
| 912 |
-
"model.layers.8.self_attn.q_proj.bias": "model.safetensors",
|
| 913 |
-
"model.layers.8.self_attn.q_proj.biases": "model.safetensors",
|
| 914 |
-
"model.layers.8.self_attn.q_proj.scales": "model.safetensors",
|
| 915 |
-
"model.layers.8.self_attn.q_proj.weight": "model.safetensors",
|
| 916 |
-
"model.layers.8.self_attn.v_proj.bias": "model.safetensors",
|
| 917 |
-
"model.layers.8.self_attn.v_proj.biases": "model.safetensors",
|
| 918 |
-
"model.layers.8.self_attn.v_proj.scales": "model.safetensors",
|
| 919 |
-
"model.layers.8.self_attn.v_proj.weight": "model.safetensors",
|
| 920 |
-
"model.layers.9.input_layernorm.weight": "model.safetensors",
|
| 921 |
-
"model.layers.9.mlp.down_proj.biases": "model.safetensors",
|
| 922 |
-
"model.layers.9.mlp.down_proj.scales": "model.safetensors",
|
| 923 |
-
"model.layers.9.mlp.down_proj.weight": "model.safetensors",
|
| 924 |
-
"model.layers.9.mlp.gate_proj.biases": "model.safetensors",
|
| 925 |
-
"model.layers.9.mlp.gate_proj.scales": "model.safetensors",
|
| 926 |
-
"model.layers.9.mlp.gate_proj.weight": "model.safetensors",
|
| 927 |
-
"model.layers.9.mlp.up_proj.biases": "model.safetensors",
|
| 928 |
-
"model.layers.9.mlp.up_proj.scales": "model.safetensors",
|
| 929 |
-
"model.layers.9.mlp.up_proj.weight": "model.safetensors",
|
| 930 |
-
"model.layers.9.post_attention_layernorm.weight": "model.safetensors",
|
| 931 |
-
"model.layers.9.self_attn.k_proj.bias": "model.safetensors",
|
| 932 |
-
"model.layers.9.self_attn.k_proj.biases": "model.safetensors",
|
| 933 |
-
"model.layers.9.self_attn.k_proj.scales": "model.safetensors",
|
| 934 |
-
"model.layers.9.self_attn.k_proj.weight": "model.safetensors",
|
| 935 |
-
"model.layers.9.self_attn.o_proj.biases": "model.safetensors",
|
| 936 |
-
"model.layers.9.self_attn.o_proj.scales": "model.safetensors",
|
| 937 |
-
"model.layers.9.self_attn.o_proj.weight": "model.safetensors",
|
| 938 |
-
"model.layers.9.self_attn.q_proj.bias": "model.safetensors",
|
| 939 |
-
"model.layers.9.self_attn.q_proj.biases": "model.safetensors",
|
| 940 |
-
"model.layers.9.self_attn.q_proj.scales": "model.safetensors",
|
| 941 |
-
"model.layers.9.self_attn.q_proj.weight": "model.safetensors",
|
| 942 |
-
"model.layers.9.self_attn.v_proj.bias": "model.safetensors",
|
| 943 |
-
"model.layers.9.self_attn.v_proj.biases": "model.safetensors",
|
| 944 |
-
"model.layers.9.self_attn.v_proj.scales": "model.safetensors",
|
| 945 |
-
"model.layers.9.self_attn.v_proj.weight": "model.safetensors",
|
| 946 |
-
"model.norm.weight": "model.safetensors"
|
| 947 |
}
|
| 948 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"metadata": {
|
| 3 |
+
"total_size": 6425499648,
|
| 4 |
+
"total_parameters": 3212749824
|
| 5 |
},
|
| 6 |
"weight_map": {
|
| 7 |
+
"model.embed_tokens.weight": "model-00001-of-00002.safetensors",
|
| 8 |
+
"model.layers.0.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 9 |
+
"model.layers.0.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
| 10 |
+
"model.layers.0.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
| 11 |
+
"model.layers.0.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
| 12 |
+
"model.layers.0.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 13 |
+
"model.layers.0.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
| 14 |
+
"model.layers.0.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
| 15 |
+
"model.layers.0.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
| 16 |
+
"model.layers.0.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
| 17 |
+
"model.layers.1.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 18 |
+
"model.layers.1.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
| 19 |
+
"model.layers.1.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
| 20 |
+
"model.layers.1.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
| 21 |
+
"model.layers.1.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 22 |
+
"model.layers.1.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
| 23 |
+
"model.layers.1.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
| 24 |
+
"model.layers.1.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
| 25 |
+
"model.layers.1.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
| 26 |
+
"model.layers.10.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 27 |
+
"model.layers.10.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
| 28 |
+
"model.layers.10.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
| 29 |
+
"model.layers.10.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
| 30 |
+
"model.layers.10.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 31 |
+
"model.layers.10.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
| 32 |
+
"model.layers.10.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
| 33 |
+
"model.layers.10.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
| 34 |
+
"model.layers.10.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
| 35 |
+
"model.layers.11.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 36 |
+
"model.layers.11.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
| 37 |
+
"model.layers.11.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
| 38 |
+
"model.layers.11.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
| 39 |
+
"model.layers.11.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 40 |
+
"model.layers.11.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
| 41 |
+
"model.layers.11.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
| 42 |
+
"model.layers.11.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
| 43 |
+
"model.layers.11.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
| 44 |
+
"model.layers.12.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 45 |
+
"model.layers.12.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
| 46 |
+
"model.layers.12.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
| 47 |
+
"model.layers.12.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
| 48 |
+
"model.layers.12.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 49 |
+
"model.layers.12.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
| 50 |
+
"model.layers.12.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
| 51 |
+
"model.layers.12.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
| 52 |
+
"model.layers.12.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
| 53 |
+
"model.layers.13.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 54 |
+
"model.layers.13.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
| 55 |
+
"model.layers.13.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
| 56 |
+
"model.layers.13.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
| 57 |
+
"model.layers.13.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 58 |
+
"model.layers.13.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
| 59 |
+
"model.layers.13.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
| 60 |
+
"model.layers.13.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
| 61 |
+
"model.layers.13.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
| 62 |
+
"model.layers.14.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 63 |
+
"model.layers.14.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
| 64 |
+
"model.layers.14.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
| 65 |
+
"model.layers.14.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
| 66 |
+
"model.layers.14.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 67 |
+
"model.layers.14.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
| 68 |
+
"model.layers.14.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
| 69 |
+
"model.layers.14.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
| 70 |
+
"model.layers.14.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
| 71 |
+
"model.layers.15.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 72 |
+
"model.layers.15.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
| 73 |
+
"model.layers.15.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
| 74 |
+
"model.layers.15.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
| 75 |
+
"model.layers.15.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 76 |
+
"model.layers.15.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
| 77 |
+
"model.layers.15.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
| 78 |
+
"model.layers.15.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
| 79 |
+
"model.layers.15.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
| 80 |
+
"model.layers.16.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 81 |
+
"model.layers.16.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
| 82 |
+
"model.layers.16.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
| 83 |
+
"model.layers.16.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
| 84 |
+
"model.layers.16.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 85 |
+
"model.layers.16.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
| 86 |
+
"model.layers.16.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
| 87 |
+
"model.layers.16.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
| 88 |
+
"model.layers.16.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
| 89 |
+
"model.layers.17.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 90 |
+
"model.layers.17.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
| 91 |
+
"model.layers.17.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
| 92 |
+
"model.layers.17.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
| 93 |
+
"model.layers.17.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 94 |
+
"model.layers.17.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
| 95 |
+
"model.layers.17.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
| 96 |
+
"model.layers.17.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
| 97 |
+
"model.layers.17.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
| 98 |
+
"model.layers.18.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 99 |
+
"model.layers.18.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
| 100 |
+
"model.layers.18.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
| 101 |
+
"model.layers.18.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
| 102 |
+
"model.layers.18.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 103 |
+
"model.layers.18.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
| 104 |
+
"model.layers.18.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
| 105 |
+
"model.layers.18.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
| 106 |
+
"model.layers.18.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
| 107 |
+
"model.layers.19.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 108 |
+
"model.layers.19.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
| 109 |
+
"model.layers.19.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
| 110 |
+
"model.layers.19.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
| 111 |
+
"model.layers.19.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 112 |
+
"model.layers.19.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
| 113 |
+
"model.layers.19.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
| 114 |
+
"model.layers.19.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
| 115 |
+
"model.layers.19.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
| 116 |
+
"model.layers.2.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 117 |
+
"model.layers.2.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
| 118 |
+
"model.layers.2.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
| 119 |
+
"model.layers.2.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
| 120 |
+
"model.layers.2.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 121 |
+
"model.layers.2.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
| 122 |
+
"model.layers.2.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
| 123 |
+
"model.layers.2.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
| 124 |
+
"model.layers.2.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
| 125 |
+
"model.layers.20.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 126 |
+
"model.layers.20.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
| 127 |
+
"model.layers.20.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
| 128 |
+
"model.layers.20.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
| 129 |
+
"model.layers.20.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 130 |
+
"model.layers.20.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
| 131 |
+
"model.layers.20.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
| 132 |
+
"model.layers.20.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
| 133 |
+
"model.layers.20.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
| 134 |
+
"model.layers.21.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 135 |
+
"model.layers.21.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
| 136 |
+
"model.layers.21.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
| 137 |
+
"model.layers.21.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
| 138 |
+
"model.layers.21.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 139 |
+
"model.layers.21.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
| 140 |
+
"model.layers.21.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
| 141 |
+
"model.layers.21.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
| 142 |
+
"model.layers.21.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
| 143 |
+
"model.layers.22.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
| 144 |
+
"model.layers.22.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
| 145 |
+
"model.layers.22.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
| 146 |
+
"model.layers.22.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
|
| 147 |
+
"model.layers.22.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
| 148 |
+
"model.layers.22.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
| 149 |
+
"model.layers.22.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
| 150 |
+
"model.layers.22.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
| 151 |
+
"model.layers.22.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
| 152 |
+
"model.layers.23.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
| 153 |
+
"model.layers.23.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
| 154 |
+
"model.layers.23.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
|
| 155 |
+
"model.layers.23.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
|
| 156 |
+
"model.layers.23.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
| 157 |
+
"model.layers.23.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
|
| 158 |
+
"model.layers.23.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
| 159 |
+
"model.layers.23.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
|
| 160 |
+
"model.layers.23.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
|
| 161 |
+
"model.layers.24.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
| 162 |
+
"model.layers.24.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
| 163 |
+
"model.layers.24.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
|
| 164 |
+
"model.layers.24.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
|
| 165 |
+
"model.layers.24.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
| 166 |
+
"model.layers.24.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
|
| 167 |
+
"model.layers.24.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
| 168 |
+
"model.layers.24.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
|
| 169 |
+
"model.layers.24.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
|
| 170 |
+
"model.layers.25.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
| 171 |
+
"model.layers.25.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
| 172 |
+
"model.layers.25.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
|
| 173 |
+
"model.layers.25.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
|
| 174 |
+
"model.layers.25.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
| 175 |
+
"model.layers.25.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
|
| 176 |
+
"model.layers.25.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
| 177 |
+
"model.layers.25.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
|
| 178 |
+
"model.layers.25.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
|
| 179 |
+
"model.layers.26.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
| 180 |
+
"model.layers.26.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
| 181 |
+
"model.layers.26.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
|
| 182 |
+
"model.layers.26.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
|
| 183 |
+
"model.layers.26.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
| 184 |
+
"model.layers.26.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
|
| 185 |
+
"model.layers.26.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
| 186 |
+
"model.layers.26.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
|
| 187 |
+
"model.layers.26.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
|
| 188 |
+
"model.layers.27.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
| 189 |
+
"model.layers.27.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
| 190 |
+
"model.layers.27.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
|
| 191 |
+
"model.layers.27.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
|
| 192 |
+
"model.layers.27.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
| 193 |
+
"model.layers.27.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
|
| 194 |
+
"model.layers.27.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
| 195 |
+
"model.layers.27.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
|
| 196 |
+
"model.layers.27.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
|
| 197 |
+
"model.layers.3.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 198 |
+
"model.layers.3.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
| 199 |
+
"model.layers.3.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
| 200 |
+
"model.layers.3.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
| 201 |
+
"model.layers.3.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 202 |
+
"model.layers.3.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
| 203 |
+
"model.layers.3.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
| 204 |
+
"model.layers.3.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
| 205 |
+
"model.layers.3.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
| 206 |
+
"model.layers.4.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 207 |
+
"model.layers.4.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
| 208 |
+
"model.layers.4.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
| 209 |
+
"model.layers.4.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
| 210 |
+
"model.layers.4.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 211 |
+
"model.layers.4.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
| 212 |
+
"model.layers.4.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
| 213 |
+
"model.layers.4.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
| 214 |
+
"model.layers.4.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
| 215 |
+
"model.layers.5.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 216 |
+
"model.layers.5.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
| 217 |
+
"model.layers.5.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
| 218 |
+
"model.layers.5.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
| 219 |
+
"model.layers.5.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 220 |
+
"model.layers.5.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
| 221 |
+
"model.layers.5.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
| 222 |
+
"model.layers.5.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
| 223 |
+
"model.layers.5.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
| 224 |
+
"model.layers.6.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 225 |
+
"model.layers.6.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
| 226 |
+
"model.layers.6.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
| 227 |
+
"model.layers.6.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
| 228 |
+
"model.layers.6.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 229 |
+
"model.layers.6.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
| 230 |
+
"model.layers.6.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
| 231 |
+
"model.layers.6.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
| 232 |
+
"model.layers.6.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
| 233 |
+
"model.layers.7.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 234 |
+
"model.layers.7.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
| 235 |
+
"model.layers.7.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
| 236 |
+
"model.layers.7.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
| 237 |
+
"model.layers.7.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 238 |
+
"model.layers.7.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
| 239 |
+
"model.layers.7.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
| 240 |
+
"model.layers.7.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
| 241 |
+
"model.layers.7.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
| 242 |
+
"model.layers.8.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 243 |
+
"model.layers.8.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
| 244 |
+
"model.layers.8.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
| 245 |
+
"model.layers.8.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
| 246 |
+
"model.layers.8.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 247 |
+
"model.layers.8.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
| 248 |
+
"model.layers.8.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
| 249 |
+
"model.layers.8.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
| 250 |
+
"model.layers.8.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
| 251 |
+
"model.layers.9.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 252 |
+
"model.layers.9.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
| 253 |
+
"model.layers.9.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
| 254 |
+
"model.layers.9.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
| 255 |
+
"model.layers.9.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 256 |
+
"model.layers.9.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
| 257 |
+
"model.layers.9.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
| 258 |
+
"model.layers.9.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
| 259 |
+
"model.layers.9.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
| 260 |
+
"model.norm.weight": "model-00002-of-00002.safetensors"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 261 |
}
|
| 262 |
}
|
special_tokens_map.json
CHANGED
|
@@ -1,28 +1,13 @@
|
|
| 1 |
{
|
| 2 |
-
"
|
| 3 |
-
"<|
|
| 4 |
-
"<|im_end|>",
|
| 5 |
-
"<|object_ref_start|>",
|
| 6 |
-
"<|object_ref_end|>",
|
| 7 |
-
"<|box_start|>",
|
| 8 |
-
"<|box_end|>",
|
| 9 |
-
"<|quad_start|>",
|
| 10 |
-
"<|quad_end|>",
|
| 11 |
-
"<|vision_start|>",
|
| 12 |
-
"<|vision_end|>",
|
| 13 |
-
"<|vision_pad|>",
|
| 14 |
-
"<|image_pad|>",
|
| 15 |
-
"<|video_pad|>"
|
| 16 |
-
],
|
| 17 |
-
"eos_token": {
|
| 18 |
-
"content": "<|im_end|>",
|
| 19 |
"lstrip": false,
|
| 20 |
"normalized": false,
|
| 21 |
"rstrip": false,
|
| 22 |
"single_word": false
|
| 23 |
},
|
| 24 |
-
"
|
| 25 |
-
"content": "<|
|
| 26 |
"lstrip": false,
|
| 27 |
"normalized": false,
|
| 28 |
"rstrip": false,
|
|
|
|
| 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,
|
tokenizer.json
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6b9e4e7fb171f92fd137b777cc2714bf87d11576700a1dcd7a399e7bbe39537b
|
| 3 |
+
size 17209920
|
tokenizer_config.json
CHANGED
|
@@ -1,207 +1,2062 @@
|
|
| 1 |
{
|
| 2 |
-
"add_bos_token": false,
|
| 3 |
-
"add_prefix_space": false,
|
| 4 |
"added_tokens_decoder": {
|
| 5 |
-
"
|
| 6 |
-
"content": "<|
|
| 7 |
"lstrip": false,
|
| 8 |
"normalized": false,
|
| 9 |
"rstrip": false,
|
| 10 |
"single_word": false,
|
| 11 |
"special": true
|
| 12 |
},
|
| 13 |
-
"
|
| 14 |
-
"content": "<|
|
| 15 |
"lstrip": false,
|
| 16 |
"normalized": false,
|
| 17 |
"rstrip": false,
|
| 18 |
"single_word": false,
|
| 19 |
"special": true
|
| 20 |
},
|
| 21 |
-
"
|
| 22 |
-
"content": "<|
|
| 23 |
"lstrip": false,
|
| 24 |
"normalized": false,
|
| 25 |
"rstrip": false,
|
| 26 |
"single_word": false,
|
| 27 |
"special": true
|
| 28 |
},
|
| 29 |
-
"
|
| 30 |
-
"content": "<|
|
| 31 |
"lstrip": false,
|
| 32 |
"normalized": false,
|
| 33 |
"rstrip": false,
|
| 34 |
"single_word": false,
|
| 35 |
"special": true
|
| 36 |
},
|
| 37 |
-
"
|
| 38 |
-
"content": "<|
|
| 39 |
"lstrip": false,
|
| 40 |
"normalized": false,
|
| 41 |
"rstrip": false,
|
| 42 |
"single_word": false,
|
| 43 |
"special": true
|
| 44 |
},
|
| 45 |
-
"
|
| 46 |
-
"content": "<|
|
| 47 |
"lstrip": false,
|
| 48 |
"normalized": false,
|
| 49 |
"rstrip": false,
|
| 50 |
"single_word": false,
|
| 51 |
"special": true
|
| 52 |
},
|
| 53 |
-
"
|
| 54 |
-
"content": "<|
|
| 55 |
"lstrip": false,
|
| 56 |
"normalized": false,
|
| 57 |
"rstrip": false,
|
| 58 |
"single_word": false,
|
| 59 |
"special": true
|
| 60 |
},
|
| 61 |
-
"
|
| 62 |
-
"content": "<|
|
| 63 |
"lstrip": false,
|
| 64 |
"normalized": false,
|
| 65 |
"rstrip": false,
|
| 66 |
"single_word": false,
|
| 67 |
"special": true
|
| 68 |
},
|
| 69 |
-
"
|
| 70 |
-
"content": "<|
|
| 71 |
"lstrip": false,
|
| 72 |
"normalized": false,
|
| 73 |
"rstrip": false,
|
| 74 |
"single_word": false,
|
| 75 |
"special": true
|
| 76 |
},
|
| 77 |
-
"
|
| 78 |
-
"content": "<|
|
| 79 |
"lstrip": false,
|
| 80 |
"normalized": false,
|
| 81 |
"rstrip": false,
|
| 82 |
"single_word": false,
|
| 83 |
"special": true
|
| 84 |
},
|
| 85 |
-
"
|
| 86 |
-
"content": "<|
|
| 87 |
"lstrip": false,
|
| 88 |
"normalized": false,
|
| 89 |
"rstrip": false,
|
| 90 |
"single_word": false,
|
| 91 |
"special": true
|
| 92 |
},
|
| 93 |
-
"
|
| 94 |
-
"content": "<|
|
| 95 |
"lstrip": false,
|
| 96 |
"normalized": false,
|
| 97 |
"rstrip": false,
|
| 98 |
"single_word": false,
|
| 99 |
"special": true
|
| 100 |
},
|
| 101 |
-
"
|
| 102 |
-
"content": "<|
|
| 103 |
"lstrip": false,
|
| 104 |
"normalized": false,
|
| 105 |
"rstrip": false,
|
| 106 |
"single_word": false,
|
| 107 |
"special": true
|
| 108 |
},
|
| 109 |
-
"
|
| 110 |
-
"content": "<|
|
| 111 |
"lstrip": false,
|
| 112 |
"normalized": false,
|
| 113 |
"rstrip": false,
|
| 114 |
"single_word": false,
|
| 115 |
"special": true
|
| 116 |
},
|
| 117 |
-
"
|
| 118 |
-
"content": "<
|
| 119 |
"lstrip": false,
|
| 120 |
"normalized": false,
|
| 121 |
"rstrip": false,
|
| 122 |
"single_word": false,
|
| 123 |
-
"special":
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 124 |
},
|
| 125 |
-
"
|
| 126 |
-
"content": "<
|
| 127 |
"lstrip": false,
|
| 128 |
"normalized": false,
|
| 129 |
"rstrip": false,
|
| 130 |
"single_word": false,
|
| 131 |
-
"special":
|
| 132 |
},
|
| 133 |
-
"
|
| 134 |
-
"content": "<|
|
| 135 |
"lstrip": false,
|
| 136 |
"normalized": false,
|
| 137 |
"rstrip": false,
|
| 138 |
"single_word": false,
|
| 139 |
-
"special":
|
| 140 |
},
|
| 141 |
-
"
|
| 142 |
-
"content": "<|
|
| 143 |
"lstrip": false,
|
| 144 |
"normalized": false,
|
| 145 |
"rstrip": false,
|
| 146 |
"single_word": false,
|
| 147 |
-
"special":
|
| 148 |
},
|
| 149 |
-
"
|
| 150 |
-
"content": "<|
|
| 151 |
"lstrip": false,
|
| 152 |
"normalized": false,
|
| 153 |
"rstrip": false,
|
| 154 |
"single_word": false,
|
| 155 |
-
"special":
|
| 156 |
},
|
| 157 |
-
"
|
| 158 |
-
"content": "<|
|
| 159 |
"lstrip": false,
|
| 160 |
"normalized": false,
|
| 161 |
"rstrip": false,
|
| 162 |
"single_word": false,
|
| 163 |
-
"special":
|
| 164 |
},
|
| 165 |
-
"
|
| 166 |
-
"content": "<|
|
| 167 |
"lstrip": false,
|
| 168 |
"normalized": false,
|
| 169 |
"rstrip": false,
|
| 170 |
"single_word": false,
|
| 171 |
-
"special":
|
| 172 |
},
|
| 173 |
-
"
|
| 174 |
-
"content": "<|
|
| 175 |
"lstrip": false,
|
| 176 |
"normalized": false,
|
| 177 |
"rstrip": false,
|
| 178 |
"single_word": false,
|
| 179 |
-
"special":
|
| 180 |
}
|
| 181 |
},
|
| 182 |
-
"
|
| 183 |
-
|
| 184 |
-
|
| 185 |
-
"<|object_ref_start|>",
|
| 186 |
-
"<|object_ref_end|>",
|
| 187 |
-
"<|box_start|>",
|
| 188 |
-
"<|box_end|>",
|
| 189 |
-
"<|quad_start|>",
|
| 190 |
-
"<|quad_end|>",
|
| 191 |
-
"<|vision_start|>",
|
| 192 |
-
"<|vision_end|>",
|
| 193 |
-
"<|vision_pad|>",
|
| 194 |
-
"<|image_pad|>",
|
| 195 |
-
"<|video_pad|>"
|
| 196 |
-
],
|
| 197 |
-
"bos_token": null,
|
| 198 |
-
"clean_up_tokenization_spaces": false,
|
| 199 |
-
"eos_token": "<|im_end|>",
|
| 200 |
-
"errors": "replace",
|
| 201 |
"extra_special_tokens": {},
|
|
|
|
|
|
|
|
|
|
|
|
|
| 202 |
"model_max_length": 131072,
|
| 203 |
-
"
|
| 204 |
-
"split_special_tokens": false,
|
| 205 |
-
"tokenizer_class": "Qwen2Tokenizer",
|
| 206 |
-
"unk_token": null
|
| 207 |
}
|
|
|
|
| 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 |
+
"clean_up_tokenization_spaces": true,
|
| 2054 |
+
"eos_token": "<|eot_id|>",
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 2055 |
"extra_special_tokens": {},
|
| 2056 |
+
"model_input_names": [
|
| 2057 |
+
"input_ids",
|
| 2058 |
+
"attention_mask"
|
| 2059 |
+
],
|
| 2060 |
"model_max_length": 131072,
|
| 2061 |
+
"tokenizer_class": "PreTrainedTokenizerFast"
|
|
|
|
|
|
|
|
|
|
| 2062 |
}
|