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README.md
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1 |
+
---
|
2 |
+
library_name: transformers
|
3 |
+
language:
|
4 |
+
- en
|
5 |
+
- fr
|
6 |
+
- it
|
7 |
+
- pt
|
8 |
+
- hi
|
9 |
+
- es
|
10 |
+
- th
|
11 |
+
- de
|
12 |
+
base_model: meta-llama/Llama-3.3-70B-Instruct
|
13 |
+
tags:
|
14 |
+
- facebook
|
15 |
+
- meta
|
16 |
+
- pytorch
|
17 |
+
- llama
|
18 |
+
- llama-3
|
19 |
+
- TensorBlock
|
20 |
+
- GGUF
|
21 |
+
extra_gated_prompt: "### LLAMA 3.3 COMMUNITY LICENSE AGREEMENT\nLlama 3.3 Version\
|
22 |
+
\ Release Date: December 6, 2024\n\"Agreement\" means the terms and conditions for\
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+
\ use, reproduction, distribution and modification of the Llama Materials set forth\
|
24 |
+
\ herein.\n\"Documentation\" means the specifications, manuals and documentation\
|
25 |
+
\ accompanying Llama 3.3 distributed by Meta at [https://www.llama.com/docs/overview](https://llama.com/docs/overview).\n\
|
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+
\"Licensee\" or \"you\" means you, or your employer or any other person or entity\
|
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\ (if you are entering into this Agreement on such person or entity’s behalf), of\
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\ the age required under applicable laws, rules or regulations to provide legal\
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\ consent and that has legal authority to bind your employer or such other person\
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\ or entity if you are entering in this Agreement on their behalf.\n\"Llama 3.3\"\
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+
\ means the foundational large language models and software and algorithms, including\
|
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+
\ machine-learning model code, trained model weights, inference-enabling code, training-enabling\
|
33 |
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\ code, fine-tuning enabling code and other elements of the foregoing distributed\
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\ by Meta at [https://www.llama.com/llama-downloads](https://www.llama.com/llama-downloads).\n\
|
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+
\"Llama Materials\" means, collectively, Meta’s proprietary Llama 3.3 and Documentation\
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\ (and any portion thereof) made available under this Agreement.\n\"Meta\" or \"\
|
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+
we\" means Meta Platforms Ireland Limited (if you are located in or, if you are\
|
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\ an entity, your principal place of business is in the EEA or Switzerland) and\
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\ Meta Platforms, Inc. (if you are located outside of the EEA or Switzerland).\n\
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By clicking “I Accept” below or by using or distributing any portion or element\
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\ of the Llama Materials, you agree to be bound by this Agreement.\n1. License Rights\
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\ and Redistribution.\na. Grant of Rights. You are granted a non-exclusive, worldwide,\
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\ non-transferable and royalty-free limited license under Meta’s intellectual property\
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\ or other rights owned by Meta embodied in the Llama Materials to use, reproduce,\
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\ distribute, copy, create derivative works of, and make modifications to the Llama\
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\ Materials.\nb. Redistribution and Use.\ni. If you distribute or make available\
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\ the Llama Materials (or any derivative works thereof), or a product or service\
|
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\ (including another AI model) that contains any of them, you shall (A) provide\
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\ a copy of this Agreement with any such Llama Materials; and (B) prominently display\
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\ “Built with Llama” on a related website, user interface, blogpost, about page,\
|
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\ or product documentation. If you use the Llama Materials or any outputs or results\
|
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\ of the Llama Materials to create, train, fine tune, or otherwise improve an AI\
|
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\ model, which is distributed or made available, you shall also include “Llama”\
|
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\ at the beginning of any such AI model name.\nii. If you receive Llama Materials,\
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\ or any derivative works thereof, from a Licensee as part of an integrated end\
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\ user product, then Section 2 of this Agreement will not apply to you. \niii. You\
|
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\ must retain in all copies of the Llama Materials that you distribute the following\
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\ attribution notice within a “Notice” text file distributed as a part of such copies:\
|
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\ “Llama 3.3 is licensed under the Llama 3.3 Community License, Copyright © Meta\
|
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\ Platforms, Inc. All Rights Reserved.”\niv. Your use of the Llama Materials must\
|
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\ comply with applicable laws and regulations (including trade compliance laws and\
|
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\ regulations) and adhere to the Acceptable Use Policy for the Llama Materials (available\
|
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\ at [https://www.llama.com/llama3\\_3/use-policy](https://www.llama.com/llama3_3/use-policy)),\
|
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\ which is hereby incorporated by reference into this Agreement. \n2. Additional\
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\ Commercial Terms. If, on the Llama 3.3 version release date, the monthly active\
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\ users of the products or services made available by or for Licensee, or Licensee’s\
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\ affiliates, is greater than 700 million monthly active users in the preceding\
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\ calendar month, you must request a license from Meta, which Meta may grant to\
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\ you in its sole discretion, and you are not authorized to exercise any of the\
|
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\ rights under this Agreement unless or until Meta otherwise expressly grants you\
|
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\ such rights.\n3. Disclaimer of Warranty. UNLESS REQUIRED BY APPLICABLE LAW, THE\
|
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\ LLAMA MATERIALS AND ANY OUTPUT AND RESULTS THEREFROM ARE PROVIDED ON AN “AS IS”\
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\ BASIS, WITHOUT WARRANTIES OF ANY KIND, AND META DISCLAIMS ALL WARRANTIES OF ANY\
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\ KIND, BOTH EXPRESS AND IMPLIED, INCLUDING, WITHOUT LIMITATION, ANY WARRANTIES\
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\ OF TITLE, NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE.\
|
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+
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|
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|
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\ You will comply with Meta’s brand guidelines (currently accessible at [https://about.meta.com/brand/resources/meta/company-brand/](https://about.meta.com/brand/resources/meta/company-brand/)[)](https://en.facebookbrand.com/).\
|
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\ to this Agreement. The courts of California shall have exclusive jurisdiction\
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\ of any dispute arising out of this Agreement.\n### Llama 3.3 Acceptable Use Policy\n\
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Meta is committed to promoting safe and fair use of its tools and features, including\
|
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\ Llama 3.3. If you access or use Llama 3.3, you agree to this Acceptable Use Policy\
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\ (“**Policy**”). The most recent copy of this policy can be found at [https://www.llama.com/llama3\\\
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+
_3/use-policy](https://www.llama.com/llama3_3/use-policy).\nProhibited Uses\nWe\
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+
\ want everyone to use Llama 3.3 safely and responsibly. You agree you will not\
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\ use, or allow others to use, Llama 3.3 to:\n1. Violate the law or others’ rights,\
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\ including to:\n\n 1. Engage in, promote, generate, contribute to, encourage,\
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\ plan, incite, or further illegal or unlawful activity or content, such as: \n\
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\ 1. Violence or terrorism \n 2. Exploitation or harm to children, including\
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+
\ the solicitation, creation, acquisition, or dissemination of child exploitative\
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+
\ content or failure to report Child Sexual Abuse Material \n 3. Human trafficking,\
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+
\ exploitation, and sexual violence \n 4. The illegal distribution of information\
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+
\ or materials to minors, including obscene materials, or failure to employ legally\
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+
\ required age-gating in connection with such information or materials. \n \
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\ 5. Sexual solicitation \n 6. Any other criminal activity\n\n 2. Engage\
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\ in, promote, incite, or facilitate the harassment, abuse, threatening, or bullying\
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\ of individuals or groups of individuals\n\n 3. Engage in, promote, incite, or\
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\ facilitate discrimination or other unlawful or harmful conduct in the provision\
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\ of employment, employment benefits, credit, housing, other economic benefits,\
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\ or other essential goods and services\n\n 4. Engage in the unauthorized or unlicensed\
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\ practice of any profession including, but not limited to, financial, legal, medical/health,\
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\ or related professional practices\n\n 5. Collect, process, disclose, generate,\
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\ about individuals’ identity, health, or demographic information, unless you have\
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\ obtained the right to do so in accordance with applicable law\n\n 6. Engage\
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+
\ in or facilitate any action or generate any content that infringes, misappropriates,\
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\ or otherwise violates any third-party rights, including the outputs or results\
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\ of any products or services using the Llama Materials\n\n 7. Create, generate,\
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\ anything else that could disable, overburden, interfere with or impair the proper\
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\ working, integrity, operation or appearance of a website or computer system\n\n\
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\ 8. Engage in any action, or facilitate any action, to intentionally circumvent\
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\ or remove usage restrictions or other safety measures, or to enable functionality\
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\ disabled by Meta\n\n2. Engage in, promote, incite, facilitate, or assist in the\
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\ planning or development of activities that present a risk of death or bodily harm\
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\ to individuals, including use of Llama 3.3 related to the following:\n\n 1.\
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+
\ Military, warfare, nuclear industries or applications, espionage, use for materials\
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\ or activities that are subject to the International Traffic Arms Regulations (ITAR)\
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+
\ maintained by the United States Department of State or to the U.S. Biological\
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+
\ Weapons Anti-Terrorism Act of 1989 or the Chemical Weapons Convention Implementation\
|
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+
\ Act of 1997\n\n 2. Guns and illegal weapons (including weapon development)\n\
|
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+
\n 3. Illegal drugs and regulated/controlled substances\n\n 4. Operation of\
|
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+
\ critical infrastructure, transportation technologies, or heavy machinery\n\n \
|
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+
\ 5. Self-harm or harm to others, including suicide, cutting, and eating disorders\n\
|
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+
\n 6. Any content intended to incite or promote violence, abuse, or any infliction\
|
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+
\ of bodily harm to an individual\n\n3. Intentionally deceive or mislead others,\
|
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+
\ including use of Llama 3.3 related to the following:\n\n 1. Generating, promoting,\
|
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+
\ or furthering fraud or the creation or promotion of disinformation\n\n 2. Generating,\
|
163 |
+
\ promoting, or furthering defamatory content, including the creation of defamatory\
|
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+
\ statements, images, or other content\n\n 3. Generating, promoting, or further\
|
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+
\ distributing spam\n\n 4. Impersonating another individual without consent, authorization,\
|
166 |
+
\ or legal right\n\n 5. Representing that the use of Llama 3.3 or outputs are\
|
167 |
+
\ human-generated\n\n 6. Generating or facilitating false online engagement, including\
|
168 |
+
\ fake reviews and other means of fake online engagement\n\n4. Fail to appropriately\
|
169 |
+
\ disclose to end users any known dangers of your AI system\n5. Interact with third\
|
170 |
+
\ party tools, models, or software designed to generate unlawful content or engage\
|
171 |
+
\ in unlawful or harmful conduct and/or represent that the outputs of such tools,\
|
172 |
+
\ models, or software are associated with Meta or Llama 3.3\nWith respect to any\
|
173 |
+
\ multimodal models included in Llama 3.3, the rights granted under Section 1(a)\
|
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+
\ of the Llama 3.3 Community License Agreement are not being granted to you if you\
|
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+
\ are an individual domiciled in, or a company with a principal place of business\
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176 |
+
\ in, the European Union. This restriction does not apply to end users of a product\
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177 |
+
\ or service that incorporates any such multimodal models.\nPlease report any violation\
|
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\ of this Policy, software “bug,” or other problems that could lead to a violation\
|
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+
\ of this Policy through one of the following means:\n* Reporting issues with the\
|
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+
\ 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)\
|
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+
\ * Reporting risky content generated by the model: [developers.facebook.com/llama\\\
|
182 |
+
_output\\_feedback](http://developers.facebook.com/llama_output_feedback) * Reporting\
|
183 |
+
\ bugs and security concerns: [facebook.com/whitehat/info](http://facebook.com/whitehat/info)\
|
184 |
+
\ * Reporting violations of the Acceptable Use Policy or unlicensed uses of Llama\
|
185 |
+
\ 3.3: LlamaUseReport@meta.com "
|
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+
extra_gated_fields:
|
187 |
+
First Name: text
|
188 |
+
Last Name: text
|
189 |
+
Date of birth: date_picker
|
190 |
+
Country: country
|
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+
Affiliation: text
|
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+
Job title:
|
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+
type: select
|
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+
options:
|
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+
- Student
|
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+
- Research Graduate
|
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+
- AI researcher
|
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+
- AI developer/engineer
|
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+
- Reporter
|
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+
- Other
|
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+
geo: ip_location
|
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+
? By clicking Submit below I accept the terms of the license and acknowledge that
|
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+
the information I provide will be collected stored processed and shared in accordance
|
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+
with the Meta Privacy Policy
|
205 |
+
: checkbox
|
206 |
+
extra_gated_description: The information you provide will be collected, stored, processed
|
207 |
+
and shared in accordance with the [Meta Privacy Policy](https://www.facebook.com/privacy/policy/).
|
208 |
+
extra_gated_button_content: Submit
|
209 |
+
license: llama3.3
|
210 |
+
---
|
211 |
+
|
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+
<div style="width: auto; margin-left: auto; margin-right: auto">
|
213 |
+
<img src="https://i.imgur.com/jC7kdl8.jpeg" alt="TensorBlock" style="width: 100%; min-width: 400px; display: block; margin: auto;">
|
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+
</div>
|
215 |
+
<div style="display: flex; justify-content: space-between; width: 100%;">
|
216 |
+
<div style="display: flex; flex-direction: column; align-items: flex-start;">
|
217 |
+
<p style="margin-top: 0.5em; margin-bottom: 0em;">
|
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+
Feedback and support: TensorBlock's <a href="https://x.com/tensorblock_aoi">Twitter/X</a>, <a href="https://t.me/TensorBlock">Telegram Group</a> and <a href="https://x.com/tensorblock_aoi">Discord server</a>
|
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+
</p>
|
220 |
+
</div>
|
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+
</div>
|
222 |
+
|
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+
## meta-llama/Llama-3.3-70B-Instruct - GGUF
|
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+
|
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+
This repo contains GGUF format model files for [meta-llama/Llama-3.3-70B-Instruct](https://huggingface.co/meta-llama/Llama-3.3-70B-Instruct).
|
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+
|
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+
The files were quantized using machines provided by [TensorBlock](https://tensorblock.co/), and they are compatible with llama.cpp as of [commit b4242](https://github.com/ggerganov/llama.cpp/commit/a6744e43e80f4be6398fc7733a01642c846dce1d).
|
228 |
+
|
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+
<div style="text-align: left; margin: 20px 0;">
|
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+
<a href="https://tensorblock.co/waitlist/client" style="display: inline-block; padding: 10px 20px; background-color: #007bff; color: white; text-decoration: none; border-radius: 5px; font-weight: bold;">
|
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+
Run them on the TensorBlock client using your local machine ↗
|
232 |
+
</a>
|
233 |
+
</div>
|
234 |
+
|
235 |
+
## Prompt template
|
236 |
+
|
237 |
+
```
|
238 |
+
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
|
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+
|
240 |
+
Cutting Knowledge Date: December 2023
|
241 |
+
Today Date: 26 Jul 2024
|
242 |
+
|
243 |
+
{system_prompt}<|eot_id|><|start_header_id|>user<|end_header_id|>
|
244 |
+
|
245 |
+
{prompt}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
246 |
+
```
|
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+
|
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+
## Model file specification
|
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+
|
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+
| Filename | Quant type | File Size | Description |
|
251 |
+
| -------- | ---------- | --------- | ----------- |
|
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+
| [Llama-3.3-70B-Instruct-Q2_K.gguf](https://huggingface.co/tensorblock/Llama-3.3-70B-Instruct-GGUF/blob/main/Llama-3.3-70B-Instruct-Q2_K.gguf) | Q2_K | 26.375 GB | smallest, significant quality loss - not recommended for most purposes |
|
253 |
+
| [Llama-3.3-70B-Instruct-Q3_K_S.gguf](https://huggingface.co/tensorblock/Llama-3.3-70B-Instruct-GGUF/blob/main/Llama-3.3-70B-Instruct-Q3_K_S.gguf) | Q3_K_S | 30.912 GB | very small, high quality loss |
|
254 |
+
| [Llama-3.3-70B-Instruct-Q3_K_M.gguf](https://huggingface.co/tensorblock/Llama-3.3-70B-Instruct-GGUF/blob/main/Llama-3.3-70B-Instruct-Q3_K_M.gguf) | Q3_K_M | 34.267 GB | very small, high quality loss |
|
255 |
+
| [Llama-3.3-70B-Instruct-Q3_K_L.gguf](https://huggingface.co/tensorblock/Llama-3.3-70B-Instruct-GGUF/blob/main/Llama-3.3-70B-Instruct-Q3_K_L.gguf) | Q3_K_L | 37.141 GB | small, substantial quality loss |
|
256 |
+
| [Llama-3.3-70B-Instruct-Q4_0.gguf](https://huggingface.co/tensorblock/Llama-3.3-70B-Instruct-GGUF/blob/main/Llama-3.3-70B-Instruct-Q4_0.gguf) | Q4_0 | 39.970 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
|
257 |
+
| [Llama-3.3-70B-Instruct-Q4_K_S.gguf](https://huggingface.co/tensorblock/Llama-3.3-70B-Instruct-GGUF/blob/main/Llama-3.3-70B-Instruct-Q4_K_S.gguf) | Q4_K_S | 40.347 GB | small, greater quality loss |
|
258 |
+
| [Llama-3.3-70B-Instruct-Q4_K_M.gguf](https://huggingface.co/tensorblock/Llama-3.3-70B-Instruct-GGUF/blob/main/Llama-3.3-70B-Instruct-Q4_K_M.gguf) | Q4_K_M | 42.520 GB | medium, balanced quality - recommended |
|
259 |
+
| [Llama-3.3-70B-Instruct-Q5_0.gguf](https://huggingface.co/tensorblock/Llama-3.3-70B-Instruct-GGUF/blob/main/Llama-3.3-70B-Instruct-Q5_0.gguf) | Q5_0 | 48.657 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
|
260 |
+
| [Llama-3.3-70B-Instruct-Q5_K_S.gguf](https://huggingface.co/tensorblock/Llama-3.3-70B-Instruct-GGUF/blob/main/Llama-3.3-70B-Instruct-Q5_K_S.gguf) | Q5_K_S | 48.657 GB | large, low quality loss - recommended |
|
261 |
+
| [Llama-3.3-70B-Instruct-Q5_K_M.gguf](https://huggingface.co/tensorblock/Llama-3.3-70B-Instruct-GGUF/blob/main/Llama-3.3-70B-Instruct-Q5_K_M.gguf) | Q5_K_M | 49.950 GB | large, very low quality loss - recommended |
|
262 |
+
| [Llama-3.3-70B-Instruct-Q8_0](https://huggingface.co/tensorblock/Llama-3.3-70B-Instruct-GGUF/blob/main/Llama-3.3-70B-Instruct-Q8_0) | Q6_K | 74.975 GB | very large, extremely low quality loss |
|
263 |
+
| [Llama-3.3-70B-Instruct-Q6_K](https://huggingface.co/tensorblock/Llama-3.3-70B-Instruct-GGUF/blob/main/Llama-3.3-70B-Instruct-Q6_K) | Q8_0 | 57.888 GB | very large, extremely low quality loss - not recommended |
|
264 |
+
|
265 |
+
|
266 |
+
## Downloading instruction
|
267 |
+
|
268 |
+
### Command line
|
269 |
+
|
270 |
+
Firstly, install Huggingface Client
|
271 |
+
|
272 |
+
```shell
|
273 |
+
pip install -U "huggingface_hub[cli]"
|
274 |
+
```
|
275 |
+
|
276 |
+
Then, downoad the individual model file the a local directory
|
277 |
+
|
278 |
+
```shell
|
279 |
+
huggingface-cli download tensorblock/Llama-3.3-70B-Instruct-GGUF --include "Llama-3.3-70B-Instruct-Q2_K.gguf" --local-dir MY_LOCAL_DIR
|
280 |
+
```
|
281 |
+
|
282 |
+
If you wanna download multiple model files with a pattern (e.g., `*Q4_K*gguf`), you can try:
|
283 |
+
|
284 |
+
```shell
|
285 |
+
huggingface-cli download tensorblock/Llama-3.3-70B-Instruct-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
|
286 |
+
```
|