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  - llama
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  - llama-3
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  license: llama3
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- extra_gated_prompt: >-
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- ### META LLAMA 3 COMMUNITY LICENSE AGREEMENT
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-
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- Meta Llama 3 Version Release Date: April 18, 2024
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-
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- "Agreement" means the terms and conditions for use, reproduction, distribution and modification of the
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- Llama Materials set forth herein.
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-
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- "Documentation" means the specifications, manuals and documentation accompanying Meta Llama 3
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- distributed by Meta at https://llama.meta.com/get-started/.
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-
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- "Licensee" or "you" means you, or your employer or any other person or entity (if you are entering into
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- this Agreement on such person or entity’s behalf), of the age required under applicable laws, rules or
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- regulations to provide legal consent and that has legal authority to bind your employer or such other
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- person or entity if you are entering in this Agreement on their behalf.
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-
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- "Meta Llama 3" 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 code,
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- fine-tuning enabling code and other elements of the foregoing distributed by Meta at
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- https://llama.meta.com/llama-downloads.
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-
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- "Llama Materials" means, collectively, Meta’s proprietary Meta Llama 3 and Documentation (and any
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- portion thereof) made available under this Agreement.
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-
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- "Meta" or "we" means Meta Platforms Ireland Limited (if you are located in or, if you are an entity, your
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- principal place of business is in the EEA or Switzerland) and Meta Platforms, Inc. (if you are located
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- outside of the EEA or Switzerland).
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-
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- 1. License Rights and Redistribution.
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-
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- a. Grant of Rights. You are granted a non-exclusive, worldwide, non-transferable and royalty-free
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- limited license under Meta’s intellectual property or other rights owned by Meta embodied in the Llama
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- Materials to use, reproduce, distribute, copy, create derivative works of, and make modifications to the
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- Llama Materials.
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-
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- b. Redistribution and Use.
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-
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- i. If you distribute or make available the Llama Materials (or any derivative works
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- thereof), or a product or service that uses any of them, including another AI model, you shall (A) provide
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- a copy of this Agreement with any such Llama Materials; and (B) prominently display “Built with Meta
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- Llama 3” on a related website, user interface, blogpost, about page, or product documentation. If you
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- use the Llama Materials to create, train, fine tune, or otherwise improve an AI model, which is
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- distributed or made available, you shall also include “Llama 3” at the beginning of any such AI model
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- name.
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-
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- ii. If you receive Llama Materials, or any derivative works thereof, from a Licensee as part
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- of an integrated end user product, then Section 2 of this Agreement will not apply to you.
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-
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- iii. You 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: “Meta Llama 3 is
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- licensed under the Meta Llama 3 Community License, Copyright © Meta Platforms, Inc. All Rights
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- Reserved.”
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-
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- iv. Your use of the Llama Materials must comply with applicable laws and regulations
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- (including trade compliance laws and regulations) and adhere to the Acceptable Use Policy for the Llama
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- Materials (available at https://llama.meta.com/llama3/use-policy), which is hereby incorporated by
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- reference into this Agreement.
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-
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- v. You will not use the Llama Materials or any output or results of the Llama Materials to
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- improve any other large language model (excluding Meta Llama 3 or derivative works thereof).
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-
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- 2. Additional Commercial Terms. If, on the Meta Llama 3 version release date, the monthly active users
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- of the products or services made available by or for Licensee, or Licensee’s affiliates, is greater than 700
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- million monthly active users in the preceding calendar month, you must request a license from Meta,
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- which Meta may grant to 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 such rights.
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-
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- 3. Disclaimer of Warranty. UNLESS REQUIRED BY APPLICABLE LAW, THE LLAMA MATERIALS AND ANY
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- OUTPUT AND RESULTS THEREFROM ARE PROVIDED ON AN “AS IS” BASIS, WITHOUT WARRANTIES OF
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- ANY KIND, AND META DISCLAIMS ALL WARRANTIES OF ANY KIND, BOTH EXPRESS AND IMPLIED,
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- INCLUDING, WITHOUT LIMITATION, ANY WARRANTIES OF TITLE, NON-INFRINGEMENT,
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- MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE. YOU ARE SOLELY RESPONSIBLE FOR
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- DETERMINING THE APPROPRIATENESS OF USING OR REDISTRIBUTING THE LLAMA MATERIALS AND
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- ASSUME ANY RISKS ASSOCIATED WITH YOUR USE OF THE LLAMA MATERIALS AND ANY OUTPUT AND
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- RESULTS.
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-
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- 4. Limitation of Liability. IN NO EVENT WILL META OR ITS AFFILIATES BE LIABLE UNDER ANY THEORY OF
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- LIABILITY, WHETHER IN CONTRACT, TORT, NEGLIGENCE, PRODUCTS LIABILITY, OR OTHERWISE, ARISING
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- OUT OF THIS AGREEMENT, FOR ANY LOST PROFITS OR ANY INDIRECT, SPECIAL, CONSEQUENTIAL,
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- INCIDENTAL, EXEMPLARY OR PUNITIVE DAMAGES, EVEN IF META OR ITS AFFILIATES HAVE BEEN ADVISED
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- OF THE POSSIBILITY OF ANY OF THE FOREGOING.
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-
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- 5. Intellectual Property.
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-
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- a. No trademark licenses are granted under this Agreement, and in connection with the Llama
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- Materials, neither Meta nor Licensee may use any name or mark owned by or associated with the other
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- or any of its affiliates, except as required for reasonable and customary use in describing and
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- redistributing the Llama Materials or as set forth in this Section 5(a). Meta hereby grants you a license to
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- use “Llama 3” (the “Mark”) solely as required to comply with the last sentence of Section 1.b.i. You will
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- comply with Meta’s brand guidelines (currently accessible at
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- https://about.meta.com/brand/resources/meta/company-brand/ ). All goodwill arising out of your use
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- of the Mark will inure to the benefit of Meta.
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-
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- b. Subject to Meta’s ownership of Llama Materials and derivatives made by or for Meta, with
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- respect to any derivative works and modifications of the Llama Materials that are made by you, as
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- between you and Meta, you are and will be the owner of such derivative works and modifications.
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-
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- c. If you institute litigation or other proceedings against Meta or any entity (including a
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- cross-claim or counterclaim in a lawsuit) alleging that the Llama Materials or Meta Llama 3 outputs or
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- results, or any portion of any of the foregoing, constitutes infringement of intellectual property or other
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- rights owned or licensable by you, then any licenses granted to you under this Agreement shall
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- terminate as of the date such litigation or claim is filed or instituted. You will indemnify and hold
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- harmless Meta from and against any claim by any third party arising out of or related to your use or
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- distribution of the Llama Materials.
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-
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- 6. Term and Termination. The term of this Agreement will commence upon your acceptance of this
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- Agreement or access to the Llama Materials and will continue in full force and effect until terminated in
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- accordance with the terms and conditions herein. Meta may terminate this Agreement if you are in
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- breach of any term or condition of this Agreement. Upon termination of this Agreement, you shall delete
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- and cease use of the Llama Materials. Sections 3, 4 and 7 shall survive the termination of this
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- Agreement.
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-
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- 7. Governing Law and Jurisdiction. This Agreement will be governed and construed under the laws of
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- the State of California without regard to choice of law principles, and the UN Convention on Contracts
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- for the International Sale of Goods does not apply to this Agreement. The courts of California shall have
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- exclusive jurisdiction of any dispute arising out of this Agreement.
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-
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- ### Meta Llama 3 Acceptable Use Policy
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-
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- Meta is committed to promoting safe and fair use of its tools and features, including Meta Llama 3. If you
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- access or use Meta Llama 3, you agree to this Acceptable Use Policy (“Policy”). The most recent copy of
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- this policy can be found at [https://llama.meta.com/llama3/use-policy](https://llama.meta.com/llama3/use-policy)
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-
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- #### Prohibited Uses
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-
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- We want everyone to use Meta Llama 3 safely and responsibly. You agree you will not use, or allow
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- others to use, Meta Llama 3 to:
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- 1. Violate the law or others’ rights, including to:
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- 1. Engage in, promote, generate, contribute to, encourage, plan, incite, or further illegal or unlawful activity or content, such as:
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- 1. Violence or terrorism
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- 2. Exploitation or harm to children, including the solicitation, creation, acquisition, or dissemination of child exploitative content or failure to report Child Sexual Abuse Material
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- 3. Human trafficking, exploitation, and sexual violence
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- 4. The illegal distribution of information or materials to minors, including obscene materials, or failure to employ legally required age-gating in connection with such information or materials.
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- 5. Sexual solicitation
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- 6. Any other criminal activity
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- 2. Engage in, promote, incite, or facilitate the harassment, abuse, threatening, or bullying of individuals or groups of individuals
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- 3. Engage in, promote, incite, or facilitate discrimination or other unlawful or harmful conduct in the provision of employment, employment benefits, credit, housing, other economic benefits, or other essential goods and services
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- 4. Engage in the unauthorized or unlicensed practice of any profession including, but not limited to, financial, legal, medical/health, or related professional practices
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- 5. Collect, process, disclose, generate, or infer health, demographic, or other sensitive personal or private information about individuals without rights and consents required by applicable laws
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- 6. Engage in or facilitate any action or generate any content that infringes, misappropriates, or otherwise violates any third-party rights, including the outputs or results of any products or services using the Llama Materials
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- 7. Create, generate, or facilitate the creation of malicious code, malware, computer viruses or do anything else that could disable, overburden, interfere with or impair the proper working, integrity, operation or appearance of a website or computer system
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- 2. Engage in, promote, incite, facilitate, or assist in the planning or development of activities that present a risk of death or bodily harm to individuals, including use of Meta Llama 3 related to the following:
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- 1. Military, warfare, nuclear industries or applications, espionage, use for materials or activities that are subject to the International Traffic Arms Regulations (ITAR) maintained by the United States Department of State
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- 2. Guns and illegal weapons (including weapon development)
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- 3. Illegal drugs and regulated/controlled substances
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- 4. Operation of critical infrastructure, transportation technologies, or heavy machinery
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- 5. Self-harm or harm to others, including suicide, cutting, and eating disorders
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- 6. Any content intended to incite or promote violence, abuse, or any infliction of bodily harm to an individual
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- 3. Intentionally deceive or mislead others, including use of Meta Llama 3 related to the following:
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- 1. Generating, promoting, or furthering fraud or the creation or promotion of disinformation
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- 2. Generating, promoting, or furthering defamatory content, including the creation of defamatory statements, images, or other content
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- 3. Generating, promoting, or further distributing spam
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- 4. Impersonating another individual without consent, authorization, or legal right
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- 5. Representing that the use of Meta Llama 3 or outputs are human-generated
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- 6. Generating or facilitating false online engagement, including fake reviews and other means of fake online engagement
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- 4. Fail to appropriately disclose to end users any known dangers of your AI system
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-
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- Please report any violation 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:
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- * Reporting issues with the model: [https://github.com/meta-llama/llama3](https://github.com/meta-llama/llama3)
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- * Reporting risky content generated by the model:
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- developers.facebook.com/llama_output_feedback
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- * Reporting bugs and security concerns: facebook.com/whitehat/info
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- * Reporting violations of the Acceptable Use Policy or unlicensed uses of Meta Llama 3: LlamaUseReport@meta.com
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- extra_gated_fields:
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- First Name: text
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- Last Name: text
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- Date of birth: date_picker
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- Country: country
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- Affiliation: text
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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 the information I provide will be collected stored processed and shared in accordance with the Meta Privacy Policy: checkbox
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- extra_gated_description: The information you provide will be collected, stored, processed and shared in accordance with the [Meta Privacy Policy](https://www.facebook.com/privacy/policy/).
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- extra_gated_button_content: Submit
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  widget:
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- - example_title: Hello
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- messages:
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- - role: user
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- content: Hey my name is Julien! How are you?
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- - example_title: Winter holidays
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- messages:
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- - role: system
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- content: You are a helpful and honest assistant. Please, respond concisely and truthfully.
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- - role: user
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- content: Can you recommend a good destination for Winter holidays?
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- - example_title: Programming assistant
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- messages:
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- - role: system
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- content: You are a helpful and honest code and programming assistant. Please, respond concisely and truthfully.
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- - role: user
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- content: Write a function that computes the nth fibonacci number.
 
 
 
 
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  inference:
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  parameters:
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  max_new_tokens: 300
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  stop:
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  - <|end_of_text|>
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  - <|eot_id|>
 
 
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  ---
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  ## Model Details
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  Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are optimized for dialogue use cases and outperform many of the available open source chat models on common industry benchmarks. Further, in developing these models, we took great care to optimize helpfulness and safety.
@@ -827,4 +666,4 @@ Please see the Responsible Use Guide available at [http://llama.meta.com/respons
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  ## Contributors
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- Aaditya Singh; Aaron Grattafiori; Abhimanyu Dubey; Abhinav Jauhri; Abhinav Pandey; Abhishek Kadian; Adam Kelsey; Adi Gangidi; Ahmad Al-Dahle; Ahuva Goldstand; Aiesha Letman; Ajay Menon; Akhil Mathur; Alan Schelten; Alex Vaughan; Amy Yang; Andrei Lupu; Andres Alvarado; Andrew Gallagher; Andrew Gu; Andrew Ho; Andrew Poulton; Andrew Ryan; Angela Fan; Ankit Ramchandani; Anthony Hartshorn; Archi Mitra; Archie Sravankumar; Artem Korenev; Arun Rao; Ashley Gabriel; Ashwin Bharambe; Assaf Eisenman; Aston Zhang; Aurelien Rodriguez; Austen Gregerson; Ava Spataru; Baptiste Roziere; Ben Maurer; Benjamin Leonhardi; Bernie Huang; Bhargavi Paranjape; Bing Liu; Binh Tang; Bobbie Chern; Brani Stojkovic; Brian Fuller; Catalina Mejia Arenas; Chao Zhou; Charlotte Caucheteux; Chaya Nayak; Ching-Hsiang Chu; Chloe Bi; Chris Cai; Chris Cox; Chris Marra; Chris McConnell; Christian Keller; Christoph Feichtenhofer; Christophe Touret; Chunyang Wu; Corinne Wong; Cristian Canton Ferrer; Damien Allonsius; Daniel Kreymer; Daniel Haziza; Daniel Li; Danielle Pintz; Danny Livshits; Danny Wyatt; David Adkins; David Esiobu; David Xu; Davide Testuggine; Delia David; Devi Parikh; Dhruv Choudhary; Dhruv Mahajan; Diana Liskovich; Diego Garcia-Olano; Diego Perino; Dieuwke Hupkes; Dingkang Wang; Dustin Holland; Egor Lakomkin; Elina Lobanova; Xiaoqing Ellen Tan; Emily Dinan; Eric Smith; Erik Brinkman; Esteban Arcaute; Filip Radenovic; Firat Ozgenel; Francesco Caggioni; Frank Seide; Frank Zhang; Gabriel Synnaeve; Gabriella Schwarz; Gabrielle Lee; Gada Badeer; Georgia Anderson; Graeme Nail; Gregoire Mialon; Guan Pang; Guillem Cucurell; Hailey Nguyen; Hannah Korevaar; Hannah Wang; Haroun Habeeb; Harrison Rudolph; Henry Aspegren; Hu Xu; Hugo Touvron; Iga Kozlowska; Igor Molybog; Igor Tufanov; Iliyan Zarov; Imanol Arrieta Ibarra; Irina-Elena Veliche; Isabel Kloumann; Ishan Misra; Ivan Evtimov; Jacob Xu; Jade Copet; Jake Weissman; Jan Geffert; Jana Vranes; Japhet Asher; Jason Park; Jay Mahadeokar; Jean-Baptiste Gaya; Jeet Shah; Jelmer van der Linde; Jennifer Chan; Jenny Hong; Jenya Lee; Jeremy Fu; Jeremy Teboul; Jianfeng Chi; Jianyu Huang; Jie Wang; Jiecao Yu; Joanna Bitton; Joe Spisak; Joelle Pineau; Jon Carvill; Jongsoo Park; Joseph Rocca; Joshua Johnstun; Junteng Jia; Kalyan Vasuden Alwala; Kam Hou U; Kate Plawiak; Kartikeya Upasani; Kaushik Veeraraghavan; Ke Li; Kenneth Heafield; Kevin Stone; Khalid El-Arini; Krithika Iyer; Kshitiz Malik; Kuenley Chiu; Kunal Bhalla; Kyle Huang; Lakshya Garg; Lauren Rantala-Yeary; Laurens van der Maaten; Lawrence Chen; Leandro Silva; Lee Bell; Lei Zhang; Liang Tan; Louis Martin; Lovish Madaan; Luca Wehrstedt; Lukas Blecher; Luke de Oliveira; Madeline Muzzi; Madian Khabsa; Manav Avlani; Mannat Singh; Manohar Paluri; Mark Zuckerberg; Marcin Kardas; Martynas Mankus; Mathew Oldham; Mathieu Rita; Matthew Lennie; Maya Pavlova; Meghan Keneally; Melanie Kambadur; Mihir Patel; Mikayel Samvelyan; Mike Clark; Mike Lewis; Min Si; Mitesh Kumar Singh; Mo Metanat; Mona Hassan; Naman Goyal; Narjes Torabi; Nicolas Usunier; Nikolay Bashlykov; Nikolay Bogoychev; Niladri Chatterji; Ning Dong; Oliver Aobo Yang; Olivier Duchenne; Onur Celebi; Parth Parekh; Patrick Alrassy; Paul Saab; Pavan Balaji; Pedro Rittner; Pengchuan Zhang; Pengwei Li; Petar Vasic; Peter Weng; Polina Zvyagina; Prajjwal Bhargava; Pratik Dubal; Praveen Krishnan; Punit Singh Koura; Qing He; Rachel Rodriguez; Ragavan Srinivasan; Rahul Mitra; Ramon Calderer; Raymond Li; Robert Stojnic; Roberta Raileanu; Robin Battey; Rocky Wang; Rohit Girdhar; Rohit Patel; Romain Sauvestre; Ronnie Polidoro; Roshan Sumbaly; Ross Taylor; Ruan Silva; Rui Hou; Rui Wang; Russ Howes; Ruty Rinott; Saghar Hosseini; Sai Jayesh Bondu; Samyak Datta; Sanjay Singh; Sara Chugh; Sargun Dhillon; Satadru Pan; Sean Bell; Sergey Edunov; Shaoliang Nie; Sharan Narang; Sharath Raparthy; Shaun Lindsay; Sheng Feng; Sheng Shen; Shenghao Lin; Shiva Shankar; Shruti Bhosale; Shun Zhang; Simon Vandenhende; Sinong Wang; Seohyun Sonia Kim; Soumya Batra; Sten Sootla; Steve Kehoe; Suchin Gururangan; Sumit Gupta; Sunny Virk; Sydney Borodinsky; Tamar Glaser; Tamar Herman; Tamara Best; Tara Fowler; Thomas Georgiou; Thomas Scialom; Tianhe Li; Todor Mihaylov; Tong Xiao; Ujjwal Karn; Vedanuj Goswami; Vibhor Gupta; Vignesh Ramanathan; Viktor Kerkez; Vinay Satish Kumar; Vincent Gonguet; Vish Vogeti; Vlad Poenaru; Vlad Tiberiu Mihailescu; Vladan Petrovic; Vladimir Ivanov; Wei Li; Weiwei Chu; Wenhan Xiong; Wenyin Fu; Wes Bouaziz; Whitney Meers; Will Constable; Xavier Martinet; Xiaojian Wu; Xinbo Gao; Xinfeng Xie; Xuchao Jia; Yaelle Goldschlag; Yann LeCun; Yashesh Gaur; Yasmine Babaei; Ye Qi; Yenda Li; Yi Wen; Yiwen Song; Youngjin Nam; Yuchen Hao; Yuchen Zhang; Yun Wang; Yuning Mao; Yuzi He; Zacharie Delpierre Coudert; Zachary DeVito; Zahra Hankir; Zhaoduo Wen; Zheng Yan; Zhengxing Chen; Zhenyu Yang; Zoe Papakipos
 
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  - llama
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  - llama-3
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  license: llama3
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  widget:
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+ - example_title: Hello
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+ messages:
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+ - role: user
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+ content: Hey my name is Julien! How are you?
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+ - example_title: Winter holidays
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+ messages:
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+ - role: system
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+ content: >-
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+ You are a helpful and honest assistant. Please, respond concisely and
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+ truthfully.
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+ - role: user
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+ content: Can you recommend a good destination for Winter holidays?
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+ - example_title: Programming assistant
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+ messages:
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+ - role: system
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+ content: >-
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+ You are a helpful and honest code and programming assistant. Please,
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+ respond concisely and truthfully.
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+ - role: user
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+ content: Write a function that computes the nth fibonacci number.
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  inference:
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  parameters:
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  max_new_tokens: 300
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  stop:
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  - <|end_of_text|>
38
  - <|eot_id|>
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+ datasets:
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+ - Trelis/gawiki
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  ---
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+ ## Llama 3 - fine-tuned for Irish (Gaeilge)
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+ A Llama 3 fine-tune on the Trelis/gawiki dataset.
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+
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+ Follows the same prompt format as the base model.
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+
48
+ ~
49
+
50
  ## Model Details
51
 
52
  Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are optimized for dialogue use cases and outperform many of the available open source chat models on common industry benchmarks. Further, in developing these models, we took great care to optimize helpfulness and safety.
 
666
 
667
  ## Contributors
668
 
669
+ Aaditya Singh; Aaron Grattafiori; Abhimanyu Dubey; Abhinav Jauhri; Abhinav Pandey; Abhishek Kadian; Adam Kelsey; Adi Gangidi; Ahmad Al-Dahle; Ahuva Goldstand; Aiesha Letman; Ajay Menon; Akhil Mathur; Alan Schelten; Alex Vaughan; Amy Yang; Andrei Lupu; Andres Alvarado; Andrew Gallagher; Andrew Gu; Andrew Ho; Andrew Poulton; Andrew Ryan; Angela Fan; Ankit Ramchandani; Anthony Hartshorn; Archi Mitra; Archie Sravankumar; Artem Korenev; Arun Rao; Ashley Gabriel; Ashwin Bharambe; Assaf Eisenman; Aston Zhang; Aurelien Rodriguez; Austen Gregerson; Ava Spataru; Baptiste Roziere; Ben Maurer; Benjamin Leonhardi; Bernie Huang; Bhargavi Paranjape; Bing Liu; Binh Tang; Bobbie Chern; Brani Stojkovic; Brian Fuller; Catalina Mejia Arenas; Chao Zhou; Charlotte Caucheteux; Chaya Nayak; Ching-Hsiang Chu; Chloe Bi; Chris Cai; Chris Cox; Chris Marra; Chris McConnell; Christian Keller; Christoph Feichtenhofer; Christophe Touret; Chunyang Wu; Corinne Wong; Cristian Canton Ferrer; Damien Allonsius; Daniel Kreymer; Daniel Haziza; Daniel Li; Danielle Pintz; Danny Livshits; Danny Wyatt; David Adkins; David Esiobu; David Xu; Davide Testuggine; Delia David; Devi Parikh; Dhruv Choudhary; Dhruv Mahajan; Diana Liskovich; Diego Garcia-Olano; Diego Perino; Dieuwke Hupkes; Dingkang Wang; Dustin Holland; Egor Lakomkin; Elina Lobanova; Xiaoqing Ellen Tan; Emily Dinan; Eric Smith; Erik Brinkman; Esteban Arcaute; Filip Radenovic; Firat Ozgenel; Francesco Caggioni; Frank Seide; Frank Zhang; Gabriel Synnaeve; Gabriella Schwarz; Gabrielle Lee; Gada Badeer; Georgia Anderson; Graeme Nail; Gregoire Mialon; Guan Pang; Guillem Cucurell; Hailey Nguyen; Hannah Korevaar; Hannah Wang; Haroun Habeeb; Harrison Rudolph; Henry Aspegren; Hu Xu; Hugo Touvron; Iga Kozlowska; Igor Molybog; Igor Tufanov; Iliyan Zarov; Imanol Arrieta Ibarra; Irina-Elena Veliche; Isabel Kloumann; Ishan Misra; Ivan Evtimov; Jacob Xu; Jade Copet; Jake Weissman; Jan Geffert; Jana Vranes; Japhet Asher; Jason Park; Jay Mahadeokar; Jean-Baptiste Gaya; Jeet Shah; Jelmer van der Linde; Jennifer Chan; Jenny Hong; Jenya Lee; Jeremy Fu; Jeremy Teboul; Jianfeng Chi; Jianyu Huang; Jie Wang; Jiecao Yu; Joanna Bitton; Joe Spisak; Joelle Pineau; Jon Carvill; Jongsoo Park; Joseph Rocca; Joshua Johnstun; Junteng Jia; Kalyan Vasuden Alwala; Kam Hou U; Kate Plawiak; Kartikeya Upasani; Kaushik Veeraraghavan; Ke Li; Kenneth Heafield; Kevin Stone; Khalid El-Arini; Krithika Iyer; Kshitiz Malik; Kuenley Chiu; Kunal Bhalla; Kyle Huang; Lakshya Garg; Lauren Rantala-Yeary; Laurens van der Maaten; Lawrence Chen; Leandro Silva; Lee Bell; Lei Zhang; Liang Tan; Louis Martin; Lovish Madaan; Luca Wehrstedt; Lukas Blecher; Luke de Oliveira; Madeline Muzzi; Madian Khabsa; Manav Avlani; Mannat Singh; Manohar Paluri; Mark Zuckerberg; Marcin Kardas; Martynas Mankus; Mathew Oldham; Mathieu Rita; Matthew Lennie; Maya Pavlova; Meghan Keneally; Melanie Kambadur; Mihir Patel; Mikayel Samvelyan; Mike Clark; Mike Lewis; Min Si; Mitesh Kumar Singh; Mo Metanat; Mona Hassan; Naman Goyal; Narjes Torabi; Nicolas Usunier; Nikolay Bashlykov; Nikolay Bogoychev; Niladri Chatterji; Ning Dong; Oliver Aobo Yang; Olivier Duchenne; Onur Celebi; Parth Parekh; Patrick Alrassy; Paul Saab; Pavan Balaji; Pedro Rittner; Pengchuan Zhang; Pengwei Li; Petar Vasic; Peter Weng; Polina Zvyagina; Prajjwal Bhargava; Pratik Dubal; Praveen Krishnan; Punit Singh Koura; Qing He; Rachel Rodriguez; Ragavan Srinivasan; Rahul Mitra; Ramon Calderer; Raymond Li; Robert Stojnic; Roberta Raileanu; Robin Battey; Rocky Wang; Rohit Girdhar; Rohit Patel; Romain Sauvestre; Ronnie Polidoro; Roshan Sumbaly; Ross Taylor; Ruan Silva; Rui Hou; Rui Wang; Russ Howes; Ruty Rinott; Saghar Hosseini; Sai Jayesh Bondu; Samyak Datta; Sanjay Singh; Sara Chugh; Sargun Dhillon; Satadru Pan; Sean Bell; Sergey Edunov; Shaoliang Nie; Sharan Narang; Sharath Raparthy; Shaun Lindsay; Sheng Feng; Sheng Shen; Shenghao Lin; Shiva Shankar; Shruti Bhosale; Shun Zhang; Simon Vandenhende; Sinong Wang; Seohyun Sonia Kim; Soumya Batra; Sten Sootla; Steve Kehoe; Suchin Gururangan; Sumit Gupta; Sunny Virk; Sydney Borodinsky; Tamar Glaser; Tamar Herman; Tamara Best; Tara Fowler; Thomas Georgiou; Thomas Scialom; Tianhe Li; Todor Mihaylov; Tong Xiao; Ujjwal Karn; Vedanuj Goswami; Vibhor Gupta; Vignesh Ramanathan; Viktor Kerkez; Vinay Satish Kumar; Vincent Gonguet; Vish Vogeti; Vlad Poenaru; Vlad Tiberiu Mihailescu; Vladan Petrovic; Vladimir Ivanov; Wei Li; Weiwei Chu; Wenhan Xiong; Wenyin Fu; Wes Bouaziz; Whitney Meers; Will Constable; Xavier Martinet; Xiaojian Wu; Xinbo Gao; Xinfeng Xie; Xuchao Jia; Yaelle Goldschlag; Yann LeCun; Yashesh Gaur; Yasmine Babaei; Ye Qi; Yenda Li; Yi Wen; Yiwen Song; Youngjin Nam; Yuchen Hao; Yuchen Zhang; Yun Wang; Yuning Mao; Yuzi He; Zacharie Delpierre Coudert; Zachary DeVito; Zahra Hankir; Zhaoduo Wen; Zheng Yan; Zhengxing Chen; Zhenyu Yang; Zoe Papakipos