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nk2t
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Llama-3-8B-Instruct-japanese-nk2t-v0.2

Text Generation
Transformers
Safetensors
English
Japanese
llama
conversational
Inference Endpoints
text-generation-inference
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META_LLAMA_3_COMMUNITY_LICENSE_AGREEMENT.txt ADDED
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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.
README.md ADDED
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+ ---
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+ language:
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+ - en
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+ pipeline_tag: text-generation
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+ tags:
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+ - facebook
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+ - meta
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+ - pytorch
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+ - llama
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+ - llama-3
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+ license: llama3
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+ license_name: llama3
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+ license_link: LICENSE
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+ ---
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+
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+ # Llama-3-8B-Instruct-JP-nk2t-v0.2
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+
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+ ## Model Details
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+ TBD
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+
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+ ## How to use
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+ TBD
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+
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+ ## Benchmarks
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+
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+ ELYZA-tasks-100 average score: 3.09 (Q4_K_M quant)
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+
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+ The results of <a href="https://huggingface.co/datasets/elyza/ELYZA-tasks-100">ELYZA-tasks-100</a> were evaluated by GPT-4-0125-preview using <a href="https://github.com/Northern-System-Service/gpt4-autoeval">gpt4-autoeval</a>.
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+
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+
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+ ---
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+
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+ ## Meta Llama-3
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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.
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+
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+ **Model developers** Meta
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+
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+ **Variations** Llama 3 comes in two sizes — 8B and 70B parameters — in pre-trained and instruction tuned variants.
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+
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+ **Input** Models input text only.
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+
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+ **Output** Models generate text and code only.
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+
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+ **Status** This is a static model trained on an offline dataset. Future versions of the tuned models will be released as we improve model safety with community feedback.
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+
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+ **License** A custom commercial license is available at: [https://llama.meta.com/llama3/license](https://llama.meta.com/llama3/license)
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+
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+ Where to send questions or comments about the model Instructions on how to provide feedback or comments on the model can be found in the model [README](https://github.com/meta-llama/llama3). For more technical information about generation parameters and recipes for how to use Llama 3 in applications, please go [here](https://github.com/meta-llama/llama-recipes).
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+
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+ ## Intended Use
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+
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+ **Intended Use Cases** Llama 3 is intended for commercial and research use in English. Instruction tuned models are intended for assistant-like chat, whereas pretrained models can be adapted for a variety of natural language generation tasks.
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+
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+ **Out-of-scope** Use in any manner that violates applicable laws or regulations (including trade compliance laws). Use in any other way that is prohibited by the Acceptable Use Policy and Llama 3 Community License. Use in languages other than English**.
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+
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+ **Note: Developers may fine-tune Llama 3 models for languages beyond English provided they comply with the Llama 3 Community License and the Acceptable Use Policy.
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+
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+ ### Responsibility & Safety
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+
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+ We believe that an open approach to AI leads to better, safer products, faster innovation, and a bigger overall market. We are committed to Responsible AI development and took a series of steps to limit misuse and harm and support the open source community.
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+
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+ Foundation models are widely capable technologies that are built to be used for a diverse range of applications. They are not designed to meet every developer preference on safety levels for all use cases, out-of-the-box, as those by their nature will differ across different applications.
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+
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+ Rather, responsible LLM-application deployment is achieved by implementing a series of safety best practices throughout the development of such applications, from the model pre-training, fine-tuning and the deployment of systems composed of safeguards to tailor the safety needs specifically to the use case and audience.
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+
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+
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+ As part of the Llama 3 release, we updated our [Responsible Use Guide](https://llama.meta.com/responsible-use-guide/) to outline the steps and best practices for developers to implement model and system level safety for their application. We also provide a set of resources including [Meta Llama Guard 2](https://llama.meta.com/purple-llama/) and [Code Shield](https://llama.meta.com/purple-llama/) safeguards. These tools have proven to drastically reduce residual risks of LLM Systems, while maintaining a high level of helpfulness. We encourage developers to tune and deploy these safeguards according to their needs and we provide a [reference implementation](https://github.com/meta-llama/llama-recipes/tree/main/recipes/responsible_ai) to get you started.
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+
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+
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+ #### Responsible release
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+
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+ In addition to responsible use considerations outlined above, we followed a rigorous process that requires us to take extra measures against misuse and critical risks before we make our release decision.
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+
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+ Misuse
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+
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+ If you access or use Llama 3, you agree to the Acceptable Use 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/).
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+
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+
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+ ## Ethical Considerations and Limitations
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+
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+ The core values of Llama 3 are openness, inclusivity and helpfulness. It is meant to serve everyone, and to work for a wide range of use cases. It is thus designed to be accessible to people across many different backgrounds, experiences and perspectives. Llama 3 addresses users and their needs as they are, without insertion unnecessary judgment or normativity, while reflecting the understanding that even content that may appear problematic in some cases can serve valuable purposes in others. It respects the dignity and autonomy of all users, especially in terms of the values of free thought and expression that power innovation and progress.
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+
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+ But Llama 3 is a new technology, and like any new technology, there are risks associated with its use. Testing conducted to date has been in English, and has not covered, nor could it cover, all scenarios. For these reasons, as with all LLMs, Llama 3’s potential outputs cannot be predicted in advance, and the model may in some instances produce inaccurate, biased or other objectionable responses to user prompts. Therefore, before deploying any applications of Llama 3 models, developers should perform safety testing and tuning tailored to their specific applications of the model. As outlined in the Responsible Use Guide, we recommend incorporating [Purple Llama](https://github.com/facebookresearch/PurpleLlama) solutions into your workflows and specifically [Llama Guard](https://ai.meta.com/research/publications/llama-guard-llm-based-input-output-safeguard-for-human-ai-conversations/) which provides a base model to filter input and output prompts to layer system-level safety on top of model-level safety.
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+
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+ Please see the Responsible Use Guide available at [http://llama.meta.com/responsible-use-guide](http://llama.meta.com/responsible-use-guide)
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