Commit
•
9ac30ca
1
Parent(s):
d789971
Upload folder using huggingface_hub
Browse files- README.md +195 -0
- config.json +85 -0
- model.safetensors +3 -0
- model.safetensors.index.json +748 -0
- special_tokens_map.json +16 -0
- tokenizer.json +0 -0
- tokenizer_config.json +2062 -0
README.md
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| 1 |
+
---
|
| 2 |
+
language:
|
| 3 |
+
- en
|
| 4 |
+
license: other
|
| 5 |
+
tags:
|
| 6 |
+
- facebook
|
| 7 |
+
- meta
|
| 8 |
+
- pytorch
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| 9 |
+
- llama
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| 10 |
+
- llama-3
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| 11 |
+
- mlx
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| 12 |
+
pipeline_tag: text-generation
|
| 13 |
+
license_name: llama3
|
| 14 |
+
license_link: LICENSE
|
| 15 |
+
extra_gated_prompt: "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version\
|
| 16 |
+
\ Release Date: April 18, 2024\n\"Agreement\" means the terms and conditions for\
|
| 17 |
+
\ use, reproduction, distribution and modification of the Llama Materials set forth\
|
| 18 |
+
\ herein.\n\"Documentation\" means the specifications, manuals and documentation\
|
| 19 |
+
\ accompanying Meta Llama 3 distributed by Meta at https://llama.meta.com/get-started/.\n\
|
| 20 |
+
\"Licensee\" or \"you\" means you, or your employer or any other person or entity\
|
| 21 |
+
\ (if you are entering into this Agreement on such person or entity’s behalf), of\
|
| 22 |
+
\ the age required under applicable laws, rules or regulations to provide legal\
|
| 23 |
+
\ consent and that has legal authority to bind your employer or such other person\
|
| 24 |
+
\ or entity if you are entering in this Agreement on their behalf.\n\"Meta Llama\
|
| 25 |
+
\ 3\" means the foundational large language models and software and algorithms,\
|
| 26 |
+
\ including machine-learning model code, trained model weights, inference-enabling\
|
| 27 |
+
\ code, training-enabling code, fine-tuning enabling code and other elements of\
|
| 28 |
+
\ the foregoing distributed by Meta at https://llama.meta.com/llama-downloads.\n\
|
| 29 |
+
\"Llama Materials\" means, collectively, Meta’s proprietary Meta Llama 3 and Documentation\
|
| 30 |
+
\ (and any portion thereof) made available under this Agreement.\n\"Meta\" or \"\
|
| 31 |
+
we\" means Meta Platforms Ireland Limited (if you are located in or, if you are\
|
| 32 |
+
\ an entity, your principal place of business is in the EEA or Switzerland) and\
|
| 33 |
+
\ Meta Platforms, Inc. (if you are located outside of the EEA or Switzerland).\n\
|
| 34 |
+
\ \n1. License Rights and Redistribution.\na. Grant of Rights. You are granted\
|
| 35 |
+
\ a non-exclusive, worldwide, non-transferable and royalty-free limited license\
|
| 36 |
+
\ under Meta’s intellectual property or other rights owned by Meta embodied in the\
|
| 37 |
+
\ Llama Materials to use, reproduce, distribute, copy, create derivative works of,\
|
| 38 |
+
\ and make modifications to the Llama Materials.\nb. Redistribution and Use.\ni.\
|
| 39 |
+
\ If you distribute or make available the Llama Materials (or any derivative works\
|
| 40 |
+
\ thereof), or a product or service that uses any of them, including another AI\
|
| 41 |
+
\ model, you shall (A) provide a copy of this Agreement with any such Llama Materials;\
|
| 42 |
+
\ and (B) prominently display “Built with Meta Llama 3” on a related website, user\
|
| 43 |
+
\ interface, blogpost, about page, or product documentation. If you use the Llama\
|
| 44 |
+
\ Materials to create, train, fine tune, or otherwise improve an AI model, which\
|
| 45 |
+
\ is distributed or made available, you shall also include “Llama 3” at the beginning\
|
| 46 |
+
\ of any such AI model name.\nii. If you receive Llama Materials, or any derivative\
|
| 47 |
+
\ works thereof, from a Licensee as part of an integrated end user product, then\
|
| 48 |
+
\ Section 2 of this Agreement will not apply to you.\niii. You must retain in all\
|
| 49 |
+
\ copies of the Llama Materials that you distribute the following attribution notice\
|
| 50 |
+
\ within a “Notice” text file distributed as a part of such copies: “Meta Llama\
|
| 51 |
+
\ 3 is licensed under the Meta Llama 3 Community License, Copyright © Meta Platforms,\
|
| 52 |
+
\ Inc. All Rights Reserved.”\niv. Your use of the Llama Materials must comply with\
|
| 53 |
+
\ applicable laws and regulations (including trade compliance laws and regulations)\
|
| 54 |
+
\ and adhere to the Acceptable Use Policy for the Llama Materials (available at\
|
| 55 |
+
\ https://llama.meta.com/llama3/use-policy), which is hereby incorporated by reference\
|
| 56 |
+
\ into this Agreement.\nv. You will not use the Llama Materials or any output or\
|
| 57 |
+
\ results of the Llama Materials to improve any other large language model (excluding\
|
| 58 |
+
\ Meta Llama 3 or derivative works thereof).\n2. Additional Commercial Terms. If,\
|
| 59 |
+
\ on the Meta Llama 3 version release date, the monthly active users of the products\
|
| 60 |
+
\ or services made available by or for Licensee, or Licensee’s affiliates, is greater\
|
| 61 |
+
\ than 700 million monthly active users in the preceding calendar month, you must\
|
| 62 |
+
\ request a license from Meta, which Meta may grant to you in its sole discretion,\
|
| 63 |
+
\ and you are not authorized to exercise any of the rights under this Agreement\
|
| 64 |
+
\ unless or until Meta otherwise expressly grants you such rights.\n3. Disclaimer\
|
| 65 |
+
\ of Warranty. UNLESS REQUIRED BY APPLICABLE LAW, THE LLAMA MATERIALS AND ANY OUTPUT\
|
| 66 |
+
\ AND RESULTS THEREFROM ARE PROVIDED ON AN “AS IS” BASIS, WITHOUT WARRANTIES OF\
|
| 67 |
+
\ ANY KIND, AND META DISCLAIMS ALL WARRANTIES OF ANY KIND, BOTH EXPRESS AND IMPLIED,\
|
| 68 |
+
\ INCLUDING, WITHOUT LIMITATION, ANY WARRANTIES OF TITLE, NON-INFRINGEMENT, MERCHANTABILITY,\
|
| 69 |
+
\ OR FITNESS FOR A PARTICULAR PURPOSE. YOU ARE SOLELY RESPONSIBLE FOR DETERMINING\
|
| 70 |
+
\ THE APPROPRIATENESS OF USING OR REDISTRIBUTING THE LLAMA MATERIALS AND ASSUME\
|
| 71 |
+
\ ANY RISKS ASSOCIATED WITH YOUR USE OF THE LLAMA MATERIALS AND ANY OUTPUT AND RESULTS.\n\
|
| 72 |
+
4. Limitation of Liability. IN NO EVENT WILL META OR ITS AFFILIATES BE LIABLE UNDER\
|
| 73 |
+
\ ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, TORT, NEGLIGENCE, PRODUCTS LIABILITY,\
|
| 74 |
+
\ OR OTHERWISE, ARISING OUT OF THIS AGREEMENT, FOR ANY LOST PROFITS OR ANY INDIRECT,\
|
| 75 |
+
\ SPECIAL, CONSEQUENTIAL, INCIDENTAL, EXEMPLARY OR PUNITIVE DAMAGES, EVEN IF META\
|
| 76 |
+
\ OR ITS AFFILIATES HAVE BEEN ADVISED OF THE POSSIBILITY OF ANY OF THE FOREGOING.\n\
|
| 77 |
+
5. Intellectual Property.\na. No trademark licenses are granted under this Agreement,\
|
| 78 |
+
\ and in connection with the Llama Materials, neither Meta nor Licensee may use\
|
| 79 |
+
\ any name or mark owned by or associated with the other or any of its affiliates,\
|
| 80 |
+
\ except as required for reasonable and customary use in describing and redistributing\
|
| 81 |
+
\ the Llama Materials or as set forth in this Section 5(a). Meta hereby grants you\
|
| 82 |
+
\ a license to use “Llama 3” (the “Mark”) solely as required to comply with the\
|
| 83 |
+
\ last sentence of Section 1.b.i. You will comply with Meta’s brand guidelines (currently\
|
| 84 |
+
\ accessible at https://about.meta.com/brand/resources/meta/company-brand/ ). All\
|
| 85 |
+
\ goodwill arising out of your use of the Mark will inure to the benefit of Meta.\n\
|
| 86 |
+
b. Subject to Meta’s ownership of Llama Materials and derivatives made by or for\
|
| 87 |
+
\ Meta, with respect to any derivative works and modifications of the Llama Materials\
|
| 88 |
+
\ that are made by you, as between you and Meta, you are and will be the owner of\
|
| 89 |
+
\ such derivative works and modifications.\nc. If you institute litigation or other\
|
| 90 |
+
\ proceedings against Meta or any entity (including a cross-claim or counterclaim\
|
| 91 |
+
\ in a lawsuit) alleging that the Llama Materials or Meta Llama 3 outputs or results,\
|
| 92 |
+
\ or any portion of any of the foregoing, constitutes infringement of intellectual\
|
| 93 |
+
\ property or other rights owned or licensable by you, then any licenses granted\
|
| 94 |
+
\ to you under this Agreement shall terminate as of the date such litigation or\
|
| 95 |
+
\ claim is filed or instituted. You will indemnify and hold harmless Meta from and\
|
| 96 |
+
\ against any claim by any third party arising out of or related to your use or\
|
| 97 |
+
\ distribution of the Llama Materials.\n6. Term and Termination. The term of this\
|
| 98 |
+
\ Agreement will commence upon your acceptance of this Agreement or access to the\
|
| 99 |
+
\ Llama Materials and will continue in full force and effect until terminated in\
|
| 100 |
+
\ accordance with the terms and conditions herein. Meta may terminate this Agreement\
|
| 101 |
+
\ if you are in breach of any term or condition of this Agreement. Upon termination\
|
| 102 |
+
\ of this Agreement, you shall delete and cease use of the Llama Materials. Sections\
|
| 103 |
+
\ 3, 4 and 7 shall survive the termination of this Agreement.\n7. Governing Law\
|
| 104 |
+
\ and Jurisdiction. This Agreement will be governed and construed under the laws\
|
| 105 |
+
\ of the State of California without regard to choice of law principles, and the\
|
| 106 |
+
\ UN Convention on Contracts for the International Sale of Goods does not apply\
|
| 107 |
+
\ to this Agreement. The courts of California shall have exclusive jurisdiction\
|
| 108 |
+
\ of any dispute arising out of this Agreement.\n### Meta Llama 3 Acceptable Use\
|
| 109 |
+
\ Policy\nMeta is committed to promoting safe and fair use of its tools and features,\
|
| 110 |
+
\ including Meta Llama 3. If you access or use Meta Llama 3, you agree to this Acceptable\
|
| 111 |
+
\ Use Policy (“Policy”). The most recent copy of this policy can be found at [https://llama.meta.com/llama3/use-policy](https://llama.meta.com/llama3/use-policy)\n\
|
| 112 |
+
#### Prohibited Uses\nWe want everyone to use Meta Llama 3 safely and responsibly.\
|
| 113 |
+
\ You agree you will not use, or allow others to use, Meta Llama 3 to: 1. Violate\
|
| 114 |
+
\ the law or others’ rights, including to:\n 1. Engage in, promote, generate,\
|
| 115 |
+
\ contribute to, encourage, plan, incite, or further illegal or unlawful activity\
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| 116 |
+
\ or content, such as:\n 1. Violence or terrorism\n 2. Exploitation\
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| 117 |
+
\ or harm to children, including the solicitation, creation, acquisition, or dissemination\
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| 118 |
+
\ of child exploitative content or failure to report Child Sexual Abuse Material\n\
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| 119 |
+
\ 3. Human trafficking, exploitation, and sexual violence\n 4. The\
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| 120 |
+
\ illegal distribution of information or materials to minors, including obscene\
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| 121 |
+
\ materials, or failure to employ legally required age-gating in connection with\
|
| 122 |
+
\ such information or materials.\n 5. Sexual solicitation\n 6. Any\
|
| 123 |
+
\ other criminal activity\n 2. Engage in, promote, incite, or facilitate the\
|
| 124 |
+
\ harassment, abuse, threatening, or bullying of individuals or groups of individuals\n\
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| 125 |
+
\ 3. Engage in, promote, incite, or facilitate discrimination or other unlawful\
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| 126 |
+
\ or harmful conduct in the provision of employment, employment benefits, credit,\
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| 127 |
+
\ housing, other economic benefits, or other essential goods and services\n 4.\
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| 128 |
+
\ Engage in the unauthorized or unlicensed practice of any profession including,\
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| 129 |
+
\ but not limited to, financial, legal, medical/health, or related professional\
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| 130 |
+
\ practices\n 5. Collect, process, disclose, generate, or infer health, demographic,\
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| 131 |
+
\ or other sensitive personal or private information about individuals without rights\
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| 132 |
+
\ and consents required by applicable laws\n 6. Engage in or facilitate any action\
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| 133 |
+
\ or generate any content that infringes, misappropriates, or otherwise violates\
|
| 134 |
+
\ any third-party rights, including the outputs or results of any products or services\
|
| 135 |
+
\ using the Llama Materials\n 7. Create, generate, or facilitate the creation\
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| 136 |
+
\ of malicious code, malware, computer viruses or do anything else that could disable,\
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| 137 |
+
\ overburden, interfere with or impair the proper working, integrity, operation\
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| 138 |
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\ or appearance of a website or computer system\n2. Engage in, promote, incite,\
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| 139 |
+
\ facilitate, or assist in the planning or development of activities that present\
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| 140 |
+
\ a risk of death or bodily harm to individuals, including use of Meta Llama 3 related\
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| 141 |
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\ to the following:\n 1. Military, warfare, nuclear industries or applications,\
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| 142 |
+
\ espionage, use for materials or activities that are subject to the International\
|
| 143 |
+
\ Traffic Arms Regulations (ITAR) maintained by the United States Department of\
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| 144 |
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\ State\n 2. Guns and illegal weapons (including weapon development)\n 3.\
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| 145 |
+
\ Illegal drugs and regulated/controlled substances\n 4. Operation of critical\
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| 146 |
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\ infrastructure, transportation technologies, or heavy machinery\n 5. Self-harm\
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| 147 |
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\ or harm to others, including suicide, cutting, and eating disorders\n 6. Any\
|
| 148 |
+
\ content intended to incite or promote violence, abuse, or any infliction of bodily\
|
| 149 |
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\ harm to an individual\n3. Intentionally deceive or mislead others, including use\
|
| 150 |
+
\ of Meta Llama 3 related to the following:\n 1. Generating, promoting, or furthering\
|
| 151 |
+
\ fraud or the creation or promotion of disinformation\n 2. Generating, promoting,\
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| 152 |
+
\ or furthering defamatory content, including the creation of defamatory statements,\
|
| 153 |
+
\ images, or other content\n 3. Generating, promoting, or further distributing\
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| 154 |
+
\ spam\n 4. Impersonating another individual without consent, authorization,\
|
| 155 |
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\ or legal right\n 5. Representing that the use of Meta Llama 3 or outputs are\
|
| 156 |
+
\ human-generated\n 6. Generating or facilitating false online engagement, including\
|
| 157 |
+
\ fake reviews and other means of fake online engagement\n4. Fail to appropriately\
|
| 158 |
+
\ disclose to end users any known dangers of your AI system\nPlease report any violation\
|
| 159 |
+
\ of this Policy, software “bug,” or other problems that could lead to a violation\
|
| 160 |
+
\ of this Policy through one of the following means:\n * Reporting issues with\
|
| 161 |
+
\ the model: [https://github.com/meta-llama/llama3](https://github.com/meta-llama/llama3)\n\
|
| 162 |
+
\ * Reporting risky content generated by the model:\n developers.facebook.com/llama_output_feedback\n\
|
| 163 |
+
\ * Reporting bugs and security concerns: facebook.com/whitehat/info\n * Reporting\
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| 164 |
+
\ violations of the Acceptable Use Policy or unlicensed uses of Meta Llama 3: LlamaUseReport@meta.com"
|
| 165 |
+
extra_gated_fields:
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First Name: text
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Last Name: text
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| 168 |
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Date of birth: date_picker
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| 169 |
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Country: country
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| 170 |
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Affiliation: text
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| 171 |
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geo: ip_location
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| 172 |
+
? By clicking Submit below I accept the terms of the license and acknowledge that
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| 173 |
+
the information I provide will be collected stored processed and shared in accordance
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| 174 |
+
with the Meta Privacy Policy
|
| 175 |
+
: checkbox
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| 176 |
+
extra_gated_description: The information you provide will be collected, stored, processed
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| 177 |
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and shared in accordance with the [Meta Privacy Policy](https://www.facebook.com/privacy/policy/).
|
| 178 |
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extra_gated_button_content: Submit
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| 179 |
+
---
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| 180 |
+
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# mlx-community/Meta-Llama-3-8B-Instruct-4bit
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| 182 |
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This model was converted to MLX format from [`meta-llama/Meta-Llama-3-8B-Instruct`]() using mlx-lm version **0.9.0**.
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Refer to the [original model card](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) for more details on the model.
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| 184 |
+
## Use with mlx
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```bash
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pip install mlx-lm
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```
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```python
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from mlx_lm import load, generate
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model, tokenizer = load("mlx-community/Meta-Llama-3-8B-Instruct-4bit")
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response = generate(model, tokenizer, prompt="hello", verbose=True)
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```
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config.json
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_cross_attention": false,
|
| 3 |
+
"architectures": [
|
| 4 |
+
"LlamaForCausalLM"
|
| 5 |
+
],
|
| 6 |
+
"attention_bias": false,
|
| 7 |
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|
| 8 |
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|
| 9 |
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| 10 |
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|
| 11 |
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| 12 |
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| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
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|
| 18 |
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|
| 19 |
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|
| 20 |
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|
| 21 |
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|
| 22 |
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|
| 23 |
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"hidden_act": "silu",
|
| 24 |
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"hidden_size": 4096,
|
| 25 |
+
"id2label": {
|
| 26 |
+
"0": "LABEL_0",
|
| 27 |
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"1": "LABEL_1"
|
| 28 |
+
},
|
| 29 |
+
"initializer_range": 0.02,
|
| 30 |
+
"intermediate_size": 14336,
|
| 31 |
+
"is_decoder": false,
|
| 32 |
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"is_encoder_decoder": false,
|
| 33 |
+
"label2id": {
|
| 34 |
+
"LABEL_0": 0,
|
| 35 |
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"LABEL_1": 1
|
| 36 |
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},
|
| 37 |
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|
| 38 |
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|
| 39 |
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|
| 40 |
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"min_length": 0,
|
| 41 |
+
"model_type": "llama",
|
| 42 |
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"no_repeat_ngram_size": 0,
|
| 43 |
+
"num_attention_heads": 32,
|
| 44 |
+
"num_beam_groups": 1,
|
| 45 |
+
"num_beams": 1,
|
| 46 |
+
"num_hidden_layers": 32,
|
| 47 |
+
"num_key_value_heads": 8,
|
| 48 |
+
"num_return_sequences": 1,
|
| 49 |
+
"output_attentions": false,
|
| 50 |
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|
| 51 |
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"output_scores": false,
|
| 52 |
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|
| 53 |
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"prefix": null,
|
| 54 |
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|
| 55 |
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"problem_type": null,
|
| 56 |
+
"pruned_heads": {},
|
| 57 |
+
"quantization": {
|
| 58 |
+
"group_size": 64,
|
| 59 |
+
"bits": 4
|
| 60 |
+
},
|
| 61 |
+
"remove_invalid_values": false,
|
| 62 |
+
"repetition_penalty": 1.0,
|
| 63 |
+
"return_dict": true,
|
| 64 |
+
"return_dict_in_generate": false,
|
| 65 |
+
"rms_norm_eps": 1e-05,
|
| 66 |
+
"rope_scaling": null,
|
| 67 |
+
"rope_theta": 500000.0,
|
| 68 |
+
"sep_token_id": null,
|
| 69 |
+
"suppress_tokens": null,
|
| 70 |
+
"task_specific_params": null,
|
| 71 |
+
"temperature": 1.0,
|
| 72 |
+
"tf_legacy_loss": false,
|
| 73 |
+
"tie_encoder_decoder": false,
|
| 74 |
+
"tie_word_embeddings": false,
|
| 75 |
+
"tokenizer_class": null,
|
| 76 |
+
"top_k": 50,
|
| 77 |
+
"top_p": 1.0,
|
| 78 |
+
"torch_dtype": "bfloat16",
|
| 79 |
+
"torchscript": false,
|
| 80 |
+
"transformers_version": "4.40.0",
|
| 81 |
+
"typical_p": 1.0,
|
| 82 |
+
"use_bfloat16": false,
|
| 83 |
+
"use_cache": true,
|
| 84 |
+
"vocab_size": 128256
|
| 85 |
+
}
|
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:df8dddecf504dcaea4c3c5adf44ca983ba65c03cce5b3417d97f414033060118
|
| 3 |
+
size 5272660122
|
model.safetensors.index.json
ADDED
|
@@ -0,0 +1,748 @@
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|
| 747 |
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|
| 748 |
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special_tokens_map.json
ADDED
|
@@ -0,0 +1,16 @@
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| 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": "<|end_of_text|>",
|
| 11 |
+
"lstrip": false,
|
| 12 |
+
"normalized": false,
|
| 13 |
+
"rstrip": false,
|
| 14 |
+
"single_word": false
|
| 15 |
+
}
|
| 16 |
+
}
|
tokenizer.json
ADDED
|
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tokenizer_config.json
ADDED
|
@@ -0,0 +1,2062 @@
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|
| 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 |
+
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| 22 |
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|
| 23 |
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| 24 |
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|
| 25 |
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|
| 26 |
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|
| 27 |
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|
| 28 |
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|
| 29 |
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|
| 30 |
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|
| 31 |
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|
| 32 |
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|
| 33 |
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|
| 34 |
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|
| 35 |
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|
| 36 |
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|
| 37 |
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|
| 38 |
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|
| 39 |
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| 40 |
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|
| 41 |
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|
| 42 |
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|
| 43 |
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|
| 44 |
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|
| 45 |
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| 46 |
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| 47 |
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| 48 |
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| 49 |
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|
| 50 |
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| 51 |
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|
| 52 |
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|
| 53 |
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| 54 |
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| 55 |
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| 56 |
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| 57 |
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| 58 |
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| 59 |
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|
| 60 |
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| 61 |
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| 63 |
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| 65 |
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| 66 |
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| 67 |
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| 68 |
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| 69 |
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| 70 |
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| 73 |
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| 74 |
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| 75 |
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|
| 76 |
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| 77 |
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| 82 |
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| 84 |
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| 85 |
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| 89 |
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| 90 |
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| 92 |
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| 100 |
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| 108 |
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| 114 |
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| 116 |
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| 122 |
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| 124 |
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| 132 |
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| 148 |
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| 266 |
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| 268 |
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| 269 |
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| 273 |
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| 274 |
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| 276 |
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| 282 |
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| 284 |
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| 290 |
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| 291 |
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| 292 |
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| 293 |
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| 297 |
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| 298 |
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| 299 |
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| 300 |
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| 301 |
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| 305 |
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| 306 |
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| 308 |
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| 309 |
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| 310 |
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| 321 |
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| 322 |
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| 324 |
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| 325 |
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| 326 |
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| 329 |
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| 330 |
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| 332 |
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| 333 |
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| 337 |
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| 338 |
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| 346 |
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| 348 |
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| 349 |
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| 350 |
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| 1674 |
+
},
|
| 1675 |
+
"128209": {
|
| 1676 |
+
"content": "<|reserved_special_token_204|>",
|
| 1677 |
+
"lstrip": false,
|
| 1678 |
+
"normalized": false,
|
| 1679 |
+
"rstrip": false,
|
| 1680 |
+
"single_word": false,
|
| 1681 |
+
"special": true
|
| 1682 |
+
},
|
| 1683 |
+
"128210": {
|
| 1684 |
+
"content": "<|reserved_special_token_205|>",
|
| 1685 |
+
"lstrip": false,
|
| 1686 |
+
"normalized": false,
|
| 1687 |
+
"rstrip": false,
|
| 1688 |
+
"single_word": false,
|
| 1689 |
+
"special": true
|
| 1690 |
+
},
|
| 1691 |
+
"128211": {
|
| 1692 |
+
"content": "<|reserved_special_token_206|>",
|
| 1693 |
+
"lstrip": false,
|
| 1694 |
+
"normalized": false,
|
| 1695 |
+
"rstrip": false,
|
| 1696 |
+
"single_word": false,
|
| 1697 |
+
"special": true
|
| 1698 |
+
},
|
| 1699 |
+
"128212": {
|
| 1700 |
+
"content": "<|reserved_special_token_207|>",
|
| 1701 |
+
"lstrip": false,
|
| 1702 |
+
"normalized": false,
|
| 1703 |
+
"rstrip": false,
|
| 1704 |
+
"single_word": false,
|
| 1705 |
+
"special": true
|
| 1706 |
+
},
|
| 1707 |
+
"128213": {
|
| 1708 |
+
"content": "<|reserved_special_token_208|>",
|
| 1709 |
+
"lstrip": false,
|
| 1710 |
+
"normalized": false,
|
| 1711 |
+
"rstrip": false,
|
| 1712 |
+
"single_word": false,
|
| 1713 |
+
"special": true
|
| 1714 |
+
},
|
| 1715 |
+
"128214": {
|
| 1716 |
+
"content": "<|reserved_special_token_209|>",
|
| 1717 |
+
"lstrip": false,
|
| 1718 |
+
"normalized": false,
|
| 1719 |
+
"rstrip": false,
|
| 1720 |
+
"single_word": false,
|
| 1721 |
+
"special": true
|
| 1722 |
+
},
|
| 1723 |
+
"128215": {
|
| 1724 |
+
"content": "<|reserved_special_token_210|>",
|
| 1725 |
+
"lstrip": false,
|
| 1726 |
+
"normalized": false,
|
| 1727 |
+
"rstrip": false,
|
| 1728 |
+
"single_word": false,
|
| 1729 |
+
"special": true
|
| 1730 |
+
},
|
| 1731 |
+
"128216": {
|
| 1732 |
+
"content": "<|reserved_special_token_211|>",
|
| 1733 |
+
"lstrip": false,
|
| 1734 |
+
"normalized": false,
|
| 1735 |
+
"rstrip": false,
|
| 1736 |
+
"single_word": false,
|
| 1737 |
+
"special": true
|
| 1738 |
+
},
|
| 1739 |
+
"128217": {
|
| 1740 |
+
"content": "<|reserved_special_token_212|>",
|
| 1741 |
+
"lstrip": false,
|
| 1742 |
+
"normalized": false,
|
| 1743 |
+
"rstrip": false,
|
| 1744 |
+
"single_word": false,
|
| 1745 |
+
"special": true
|
| 1746 |
+
},
|
| 1747 |
+
"128218": {
|
| 1748 |
+
"content": "<|reserved_special_token_213|>",
|
| 1749 |
+
"lstrip": false,
|
| 1750 |
+
"normalized": false,
|
| 1751 |
+
"rstrip": false,
|
| 1752 |
+
"single_word": false,
|
| 1753 |
+
"special": true
|
| 1754 |
+
},
|
| 1755 |
+
"128219": {
|
| 1756 |
+
"content": "<|reserved_special_token_214|>",
|
| 1757 |
+
"lstrip": false,
|
| 1758 |
+
"normalized": false,
|
| 1759 |
+
"rstrip": false,
|
| 1760 |
+
"single_word": false,
|
| 1761 |
+
"special": true
|
| 1762 |
+
},
|
| 1763 |
+
"128220": {
|
| 1764 |
+
"content": "<|reserved_special_token_215|>",
|
| 1765 |
+
"lstrip": false,
|
| 1766 |
+
"normalized": false,
|
| 1767 |
+
"rstrip": false,
|
| 1768 |
+
"single_word": false,
|
| 1769 |
+
"special": true
|
| 1770 |
+
},
|
| 1771 |
+
"128221": {
|
| 1772 |
+
"content": "<|reserved_special_token_216|>",
|
| 1773 |
+
"lstrip": false,
|
| 1774 |
+
"normalized": false,
|
| 1775 |
+
"rstrip": false,
|
| 1776 |
+
"single_word": false,
|
| 1777 |
+
"special": true
|
| 1778 |
+
},
|
| 1779 |
+
"128222": {
|
| 1780 |
+
"content": "<|reserved_special_token_217|>",
|
| 1781 |
+
"lstrip": false,
|
| 1782 |
+
"normalized": false,
|
| 1783 |
+
"rstrip": false,
|
| 1784 |
+
"single_word": false,
|
| 1785 |
+
"special": true
|
| 1786 |
+
},
|
| 1787 |
+
"128223": {
|
| 1788 |
+
"content": "<|reserved_special_token_218|>",
|
| 1789 |
+
"lstrip": false,
|
| 1790 |
+
"normalized": false,
|
| 1791 |
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"rstrip": false,
|
| 1792 |
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"single_word": false,
|
| 1793 |
+
"special": true
|
| 1794 |
+
},
|
| 1795 |
+
"128224": {
|
| 1796 |
+
"content": "<|reserved_special_token_219|>",
|
| 1797 |
+
"lstrip": false,
|
| 1798 |
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"normalized": false,
|
| 1799 |
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"rstrip": false,
|
| 1800 |
+
"single_word": false,
|
| 1801 |
+
"special": true
|
| 1802 |
+
},
|
| 1803 |
+
"128225": {
|
| 1804 |
+
"content": "<|reserved_special_token_220|>",
|
| 1805 |
+
"lstrip": false,
|
| 1806 |
+
"normalized": false,
|
| 1807 |
+
"rstrip": false,
|
| 1808 |
+
"single_word": false,
|
| 1809 |
+
"special": true
|
| 1810 |
+
},
|
| 1811 |
+
"128226": {
|
| 1812 |
+
"content": "<|reserved_special_token_221|>",
|
| 1813 |
+
"lstrip": false,
|
| 1814 |
+
"normalized": false,
|
| 1815 |
+
"rstrip": false,
|
| 1816 |
+
"single_word": false,
|
| 1817 |
+
"special": true
|
| 1818 |
+
},
|
| 1819 |
+
"128227": {
|
| 1820 |
+
"content": "<|reserved_special_token_222|>",
|
| 1821 |
+
"lstrip": false,
|
| 1822 |
+
"normalized": false,
|
| 1823 |
+
"rstrip": false,
|
| 1824 |
+
"single_word": false,
|
| 1825 |
+
"special": true
|
| 1826 |
+
},
|
| 1827 |
+
"128228": {
|
| 1828 |
+
"content": "<|reserved_special_token_223|>",
|
| 1829 |
+
"lstrip": false,
|
| 1830 |
+
"normalized": false,
|
| 1831 |
+
"rstrip": false,
|
| 1832 |
+
"single_word": false,
|
| 1833 |
+
"special": true
|
| 1834 |
+
},
|
| 1835 |
+
"128229": {
|
| 1836 |
+
"content": "<|reserved_special_token_224|>",
|
| 1837 |
+
"lstrip": false,
|
| 1838 |
+
"normalized": false,
|
| 1839 |
+
"rstrip": false,
|
| 1840 |
+
"single_word": false,
|
| 1841 |
+
"special": true
|
| 1842 |
+
},
|
| 1843 |
+
"128230": {
|
| 1844 |
+
"content": "<|reserved_special_token_225|>",
|
| 1845 |
+
"lstrip": false,
|
| 1846 |
+
"normalized": false,
|
| 1847 |
+
"rstrip": false,
|
| 1848 |
+
"single_word": false,
|
| 1849 |
+
"special": true
|
| 1850 |
+
},
|
| 1851 |
+
"128231": {
|
| 1852 |
+
"content": "<|reserved_special_token_226|>",
|
| 1853 |
+
"lstrip": false,
|
| 1854 |
+
"normalized": false,
|
| 1855 |
+
"rstrip": false,
|
| 1856 |
+
"single_word": false,
|
| 1857 |
+
"special": true
|
| 1858 |
+
},
|
| 1859 |
+
"128232": {
|
| 1860 |
+
"content": "<|reserved_special_token_227|>",
|
| 1861 |
+
"lstrip": false,
|
| 1862 |
+
"normalized": false,
|
| 1863 |
+
"rstrip": false,
|
| 1864 |
+
"single_word": false,
|
| 1865 |
+
"special": true
|
| 1866 |
+
},
|
| 1867 |
+
"128233": {
|
| 1868 |
+
"content": "<|reserved_special_token_228|>",
|
| 1869 |
+
"lstrip": false,
|
| 1870 |
+
"normalized": false,
|
| 1871 |
+
"rstrip": false,
|
| 1872 |
+
"single_word": false,
|
| 1873 |
+
"special": true
|
| 1874 |
+
},
|
| 1875 |
+
"128234": {
|
| 1876 |
+
"content": "<|reserved_special_token_229|>",
|
| 1877 |
+
"lstrip": false,
|
| 1878 |
+
"normalized": false,
|
| 1879 |
+
"rstrip": false,
|
| 1880 |
+
"single_word": false,
|
| 1881 |
+
"special": true
|
| 1882 |
+
},
|
| 1883 |
+
"128235": {
|
| 1884 |
+
"content": "<|reserved_special_token_230|>",
|
| 1885 |
+
"lstrip": false,
|
| 1886 |
+
"normalized": false,
|
| 1887 |
+
"rstrip": false,
|
| 1888 |
+
"single_word": false,
|
| 1889 |
+
"special": true
|
| 1890 |
+
},
|
| 1891 |
+
"128236": {
|
| 1892 |
+
"content": "<|reserved_special_token_231|>",
|
| 1893 |
+
"lstrip": false,
|
| 1894 |
+
"normalized": false,
|
| 1895 |
+
"rstrip": false,
|
| 1896 |
+
"single_word": false,
|
| 1897 |
+
"special": true
|
| 1898 |
+
},
|
| 1899 |
+
"128237": {
|
| 1900 |
+
"content": "<|reserved_special_token_232|>",
|
| 1901 |
+
"lstrip": false,
|
| 1902 |
+
"normalized": false,
|
| 1903 |
+
"rstrip": false,
|
| 1904 |
+
"single_word": false,
|
| 1905 |
+
"special": true
|
| 1906 |
+
},
|
| 1907 |
+
"128238": {
|
| 1908 |
+
"content": "<|reserved_special_token_233|>",
|
| 1909 |
+
"lstrip": false,
|
| 1910 |
+
"normalized": false,
|
| 1911 |
+
"rstrip": false,
|
| 1912 |
+
"single_word": false,
|
| 1913 |
+
"special": true
|
| 1914 |
+
},
|
| 1915 |
+
"128239": {
|
| 1916 |
+
"content": "<|reserved_special_token_234|>",
|
| 1917 |
+
"lstrip": false,
|
| 1918 |
+
"normalized": false,
|
| 1919 |
+
"rstrip": false,
|
| 1920 |
+
"single_word": false,
|
| 1921 |
+
"special": true
|
| 1922 |
+
},
|
| 1923 |
+
"128240": {
|
| 1924 |
+
"content": "<|reserved_special_token_235|>",
|
| 1925 |
+
"lstrip": false,
|
| 1926 |
+
"normalized": false,
|
| 1927 |
+
"rstrip": false,
|
| 1928 |
+
"single_word": false,
|
| 1929 |
+
"special": true
|
| 1930 |
+
},
|
| 1931 |
+
"128241": {
|
| 1932 |
+
"content": "<|reserved_special_token_236|>",
|
| 1933 |
+
"lstrip": false,
|
| 1934 |
+
"normalized": false,
|
| 1935 |
+
"rstrip": false,
|
| 1936 |
+
"single_word": false,
|
| 1937 |
+
"special": true
|
| 1938 |
+
},
|
| 1939 |
+
"128242": {
|
| 1940 |
+
"content": "<|reserved_special_token_237|>",
|
| 1941 |
+
"lstrip": false,
|
| 1942 |
+
"normalized": false,
|
| 1943 |
+
"rstrip": false,
|
| 1944 |
+
"single_word": false,
|
| 1945 |
+
"special": true
|
| 1946 |
+
},
|
| 1947 |
+
"128243": {
|
| 1948 |
+
"content": "<|reserved_special_token_238|>",
|
| 1949 |
+
"lstrip": false,
|
| 1950 |
+
"normalized": false,
|
| 1951 |
+
"rstrip": false,
|
| 1952 |
+
"single_word": false,
|
| 1953 |
+
"special": true
|
| 1954 |
+
},
|
| 1955 |
+
"128244": {
|
| 1956 |
+
"content": "<|reserved_special_token_239|>",
|
| 1957 |
+
"lstrip": false,
|
| 1958 |
+
"normalized": false,
|
| 1959 |
+
"rstrip": false,
|
| 1960 |
+
"single_word": false,
|
| 1961 |
+
"special": true
|
| 1962 |
+
},
|
| 1963 |
+
"128245": {
|
| 1964 |
+
"content": "<|reserved_special_token_240|>",
|
| 1965 |
+
"lstrip": false,
|
| 1966 |
+
"normalized": false,
|
| 1967 |
+
"rstrip": false,
|
| 1968 |
+
"single_word": false,
|
| 1969 |
+
"special": true
|
| 1970 |
+
},
|
| 1971 |
+
"128246": {
|
| 1972 |
+
"content": "<|reserved_special_token_241|>",
|
| 1973 |
+
"lstrip": false,
|
| 1974 |
+
"normalized": false,
|
| 1975 |
+
"rstrip": false,
|
| 1976 |
+
"single_word": false,
|
| 1977 |
+
"special": true
|
| 1978 |
+
},
|
| 1979 |
+
"128247": {
|
| 1980 |
+
"content": "<|reserved_special_token_242|>",
|
| 1981 |
+
"lstrip": false,
|
| 1982 |
+
"normalized": false,
|
| 1983 |
+
"rstrip": false,
|
| 1984 |
+
"single_word": false,
|
| 1985 |
+
"special": true
|
| 1986 |
+
},
|
| 1987 |
+
"128248": {
|
| 1988 |
+
"content": "<|reserved_special_token_243|>",
|
| 1989 |
+
"lstrip": false,
|
| 1990 |
+
"normalized": false,
|
| 1991 |
+
"rstrip": false,
|
| 1992 |
+
"single_word": false,
|
| 1993 |
+
"special": true
|
| 1994 |
+
},
|
| 1995 |
+
"128249": {
|
| 1996 |
+
"content": "<|reserved_special_token_244|>",
|
| 1997 |
+
"lstrip": false,
|
| 1998 |
+
"normalized": false,
|
| 1999 |
+
"rstrip": false,
|
| 2000 |
+
"single_word": false,
|
| 2001 |
+
"special": true
|
| 2002 |
+
},
|
| 2003 |
+
"128250": {
|
| 2004 |
+
"content": "<|reserved_special_token_245|>",
|
| 2005 |
+
"lstrip": false,
|
| 2006 |
+
"normalized": false,
|
| 2007 |
+
"rstrip": false,
|
| 2008 |
+
"single_word": false,
|
| 2009 |
+
"special": true
|
| 2010 |
+
},
|
| 2011 |
+
"128251": {
|
| 2012 |
+
"content": "<|reserved_special_token_246|>",
|
| 2013 |
+
"lstrip": false,
|
| 2014 |
+
"normalized": false,
|
| 2015 |
+
"rstrip": false,
|
| 2016 |
+
"single_word": false,
|
| 2017 |
+
"special": true
|
| 2018 |
+
},
|
| 2019 |
+
"128252": {
|
| 2020 |
+
"content": "<|reserved_special_token_247|>",
|
| 2021 |
+
"lstrip": false,
|
| 2022 |
+
"normalized": false,
|
| 2023 |
+
"rstrip": false,
|
| 2024 |
+
"single_word": false,
|
| 2025 |
+
"special": true
|
| 2026 |
+
},
|
| 2027 |
+
"128253": {
|
| 2028 |
+
"content": "<|reserved_special_token_248|>",
|
| 2029 |
+
"lstrip": false,
|
| 2030 |
+
"normalized": false,
|
| 2031 |
+
"rstrip": false,
|
| 2032 |
+
"single_word": false,
|
| 2033 |
+
"special": true
|
| 2034 |
+
},
|
| 2035 |
+
"128254": {
|
| 2036 |
+
"content": "<|reserved_special_token_249|>",
|
| 2037 |
+
"lstrip": false,
|
| 2038 |
+
"normalized": false,
|
| 2039 |
+
"rstrip": false,
|
| 2040 |
+
"single_word": false,
|
| 2041 |
+
"special": true
|
| 2042 |
+
},
|
| 2043 |
+
"128255": {
|
| 2044 |
+
"content": "<|reserved_special_token_250|>",
|
| 2045 |
+
"lstrip": false,
|
| 2046 |
+
"normalized": false,
|
| 2047 |
+
"rstrip": false,
|
| 2048 |
+
"single_word": false,
|
| 2049 |
+
"special": true
|
| 2050 |
+
}
|
| 2051 |
+
},
|
| 2052 |
+
"bos_token": "<|begin_of_text|>",
|
| 2053 |
+
"chat_template": "{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{{ '<|start_header_id|>assistant<|end_header_id|>\n\n' }}",
|
| 2054 |
+
"clean_up_tokenization_spaces": true,
|
| 2055 |
+
"eos_token": "<|end_of_text|>",
|
| 2056 |
+
"model_input_names": [
|
| 2057 |
+
"input_ids",
|
| 2058 |
+
"attention_mask"
|
| 2059 |
+
],
|
| 2060 |
+
"model_max_length": 1000000000000000019884624838656,
|
| 2061 |
+
"tokenizer_class": "PreTrainedTokenizerFast"
|
| 2062 |
+
}
|