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.gitattributes

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README.md

@@ -0,0 +1,268 @@
+---
+language:
+- en
+- de
+- fr
+- it
+- pt
+- hi
+- es
+- th
+license: llama3.1
+base_model: meta-llama/Llama-3.1-8B-Instruct
+pipeline_tag: text-generation
+tags:
+- facebook
+- meta
+- pytorch
+- llama
+- llama-3
+- TensorBlock
+- GGUF
+extra_gated_prompt: "### LLAMA 3.1 COMMUNITY LICENSE AGREEMENT\nLlama 3.1 Version\
+  \ Release Date: July 23, 2024\n\"Agreement\" means the terms and conditions for\
+  \ use, reproduction, distribution and modification of the  Llama Materials set forth\
+  \ herein.\n\"Documentation\" means the specifications, manuals and documentation\
+  \ accompanying Llama 3.1 distributed by Meta at https://llama.meta.com/doc/overview.\n\
+  \"Licensee\" or \"you\" means you, or your employer or any other person or entity\
+  \ (if you are entering into this Agreement on such person or entity’s behalf), of\
+  \ the age required under applicable laws, rules or regulations to provide legal\
+  \ consent and that has legal authority to bind your employer or such other person\
+  \ or entity if you are entering in this Agreement on their behalf.\n\"Llama 3.1\"\
+  \ means the foundational large language models and software and algorithms, including\
+  \ machine-learning model code, trained model weights, inference-enabling code, training-enabling\
+  \ code, fine-tuning enabling code and other elements of the foregoing distributed\
+  \ by Meta at https://llama.meta.com/llama-downloads.\n\"Llama Materials\" means,\
+  \ collectively, Meta’s proprietary Llama 3.1 and Documentation (and any portion\
+  \ thereof) made available under this Agreement.\n\"Meta\" or \"we\" means Meta Platforms\
+  \ Ireland Limited (if you are located in or, if you are an entity, your principal\
+  \ place of business is in the EEA or Switzerland) and Meta Platforms, Inc. (if you\
+  \ are located outside of the EEA or Switzerland).\n   \n1. License Rights and Redistribution.\n\
+  a. Grant of Rights. You are granted a non-exclusive, worldwide, non-transferable\
+  \ and royalty-free limited license under Meta’s intellectual property or other rights\
+  \ owned by Meta embodied in the Llama Materials to use, reproduce, distribute, copy,\
+  \ create derivative works of, and make modifications to the Llama Materials.\nb.\
+  \ Redistribution and Use.\ni. If you distribute or make available the Llama Materials\
+  \ (or any derivative works thereof), or a product or service (including another\
+  \ AI model) that contains any of them, you shall (A) provide a copy of this Agreement\
+  \ with any such Llama Materials; and (B) prominently display “Built with Llama”\
+  \ on a related website, user interface, blogpost, about page, or product documentation.\
+  \ If you use the Llama Materials or any outputs or results of the Llama Materials\
+  \ to create, train, fine tune, or otherwise improve an AI model, which is distributed\
+  \ or made available, you shall also include “Llama” at the beginning of any such\
+  \ AI model name.\nii. If you receive Llama Materials, or any derivative works thereof,\
+  \ from a Licensee as part  of an integrated end user product, then Section 2 of\
+  \ this Agreement will not apply to you.\niii. You must retain in all copies of the\
+  \ Llama Materials that you distribute the following attribution notice within a\
+  \ “Notice” text file distributed as a part of such copies: “Llama 3.1 is licensed\
+  \ under the Llama 3.1 Community License, Copyright © Meta Platforms, Inc. All Rights\
+  \ Reserved.”\niv. Your use of the Llama Materials must comply with applicable laws\
+  \ and regulations (including trade compliance laws and regulations) and adhere to\
+  \ the Acceptable Use Policy for the Llama Materials (available at https://llama.meta.com/llama3_1/use-policy),\
+  \ which is hereby incorporated by reference into this Agreement.\n2. Additional\
+  \ Commercial Terms. If, on the Llama 3.1 version release date, the monthly active\
+  \ users of the products or services made available by or for Licensee, or Licensee’s\
+  \ affiliates, is greater than 700 million monthly active users in the preceding\
+  \ calendar month, you must request a license from Meta, which Meta may grant to\
+  \ you in its sole discretion, and you are not authorized to exercise any of the\
+  \ rights under this Agreement unless or until Meta otherwise expressly grants you\
+  \ such rights.\n3. Disclaimer of Warranty. UNLESS REQUIRED BY APPLICABLE LAW, THE\
+  \ LLAMA MATERIALS AND ANY OUTPUT AND RESULTS THEREFROM ARE PROVIDED ON AN “AS IS”\
+  \ BASIS, WITHOUT WARRANTIES OF ANY KIND, AND META DISCLAIMS ALL WARRANTIES OF ANY\
+  \ KIND, BOTH EXPRESS AND IMPLIED, INCLUDING, WITHOUT LIMITATION, ANY WARRANTIES\
+  \ OF TITLE, NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE.\
+  \ YOU ARE SOLELY RESPONSIBLE FOR DETERMINING THE APPROPRIATENESS OF USING OR REDISTRIBUTING\
+  \ THE LLAMA MATERIALS AND ASSUME ANY RISKS ASSOCIATED WITH YOUR USE OF THE LLAMA\
+  \ MATERIALS AND ANY OUTPUT AND RESULTS.\n4. Limitation of Liability. IN NO EVENT\
+  \ WILL META OR ITS AFFILIATES BE LIABLE UNDER ANY THEORY OF LIABILITY, WHETHER IN\
+  \ CONTRACT, TORT, NEGLIGENCE, PRODUCTS LIABILITY, OR OTHERWISE, ARISING OUT OF THIS\
+  \ AGREEMENT, FOR ANY LOST PROFITS OR ANY INDIRECT, SPECIAL, CONSEQUENTIAL, INCIDENTAL,\
+  \ EXEMPLARY OR PUNITIVE DAMAGES, EVEN IF META OR ITS AFFILIATES HAVE BEEN ADVISED\
+  \ OF THE POSSIBILITY OF ANY OF THE FOREGOING.\n5. Intellectual Property.\na. No\
+  \ trademark licenses are granted under this Agreement, and in connection with the\
+  \ Llama Materials, neither Meta nor Licensee may use any name or mark owned by or\
+  \ associated with the other or any of its affiliates, except as required for reasonable\
+  \ and customary use in describing and redistributing the Llama Materials or as set\
+  \ forth in this Section 5(a). Meta hereby grants you a license to use “Llama” (the\
+  \ “Mark”) solely as required to comply with the last sentence of Section 1.b.i.\
+  \ You will comply with Meta’s brand guidelines (currently accessible at https://about.meta.com/brand/resources/meta/company-brand/\
+  \ ). All goodwill arising out of your use of the Mark will inure to the benefit\
+  \ of Meta.\nb. Subject to Meta’s ownership of Llama Materials and derivatives made\
+  \ by or for Meta, with respect to any derivative works and modifications of the\
+  \ Llama Materials that are made by you, as between you and Meta, you are and will\
+  \ be the owner of such derivative works and modifications.\nc. If you institute\
+  \ litigation or other proceedings against Meta or any entity (including a cross-claim\
+  \ or counterclaim in a lawsuit) alleging that the Llama Materials or Llama 3.1 outputs\
+  \ or results, or any portion of any of the foregoing, constitutes infringement of\
+  \ intellectual property or other rights owned or licensable by you, then any licenses\
+  \ granted to you under this Agreement shall terminate as of the date such litigation\
+  \ or claim is filed or instituted. You will indemnify and hold harmless Meta from\
+  \ and against any claim by any third party arising out of or related to your use\
+  \ or distribution of the Llama Materials.\n6. Term and Termination. The term of\
+  \ this Agreement will commence upon your acceptance of this Agreement or access\
+  \ to the Llama Materials and will continue in full force and effect until terminated\
+  \ in accordance with the terms and conditions herein. Meta may terminate this Agreement\
+  \ if you are in breach of any term or condition of this Agreement. Upon termination\
+  \ of this Agreement, you shall delete and cease use of the Llama Materials. Sections\
+  \ 3, 4 and 7 shall survive the termination of this Agreement.\n7. Governing Law\
+  \ and Jurisdiction. This Agreement will be governed and construed under the laws\
+  \ of the State of California without regard to choice of law principles, and the\
+  \ UN Convention on Contracts for the International Sale of Goods does not apply\
+  \ to this Agreement. The courts of California shall have exclusive jurisdiction\
+  \ of any dispute arising out of this Agreement.\n### Llama 3.1 Acceptable Use Policy\n\
+  Meta is committed to promoting safe and fair use of its tools and features, including\
+  \ Llama 3.1. If you access or use Llama 3.1, you agree to this Acceptable Use Policy\
+  \ (“Policy”). The most recent copy of this policy can be found at [https://llama.meta.com/llama3_1/use-policy](https://llama.meta.com/llama3_1/use-policy)\n\
+  #### Prohibited Uses\nWe want everyone to use Llama 3.1 safely and responsibly.\
+  \ You agree you will not use, or allow others to use, Llama 3.1 to:\n 1. Violate\
+  \ the law or others’ rights, including to:\n    1. Engage in, promote, generate,\
+  \ contribute to, encourage, plan, incite, or further illegal or unlawful activity\
+  \ or content, such as:\n        1. Violence or terrorism\n        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\n\
+  \        3. Human trafficking, exploitation, and sexual violence\n        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.\n        5. Sexual solicitation\n        6. Any\
+  \ other criminal activity\n    3. Engage in, promote, incite, or facilitate the\
+  \ harassment, abuse, threatening, or bullying of individuals or groups of individuals\n\
+  \    4. 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\n    5.\
+  \ Engage in the unauthorized or unlicensed practice of any profession including,\
+  \ but not limited to, financial, legal, medical/health, or related professional\
+  \ practices\n    6. 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\n    7. 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\n    8. 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\n2. 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 Llama 3.1 related\
+  \ to the following:\n    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\n    2. Guns and illegal weapons (including weapon development)\n    3.\
+  \ Illegal drugs and regulated/controlled substances\n    4. Operation of critical\
+  \ infrastructure, transportation technologies, or heavy machinery\n    5. Self-harm\
+  \ or harm to others, including suicide, cutting, and eating disorders\n    6. Any\
+  \ content intended to incite or promote violence, abuse, or any infliction of bodily\
+  \ harm to an individual\n3. Intentionally deceive or mislead others, including use\
+  \ of Llama 3.1 related to the following:\n    1. Generating, promoting, or furthering\
+  \ fraud or the creation or promotion of disinformation\n    2. Generating, promoting,\
+  \ or furthering defamatory content, including the creation of defamatory statements,\
+  \ images, or other content\n    3. Generating, promoting, or further distributing\
+  \ spam\n    4. Impersonating another individual without consent, authorization,\
+  \ or legal right\n    5. Representing that the use of Llama 3.1 or outputs are human-generated\n\
+  \    6. Generating or facilitating false online engagement, including fake reviews\
+  \ and other means of fake online engagement\n4. Fail to appropriately disclose to\
+  \ end users any known dangers of your AI system\nPlease report any violation of\
+  \ this Policy, software “bug,” or other problems that could lead to a violation\
+  \ of this Policy through one of the following means:\n    * Reporting issues with\
+  \ the model: [https://github.com/meta-llama/llama-models/issues](https://github.com/meta-llama/llama-models/issues)\n\
+  \    * Reporting risky content generated by the model:\n    developers.facebook.com/llama_output_feedback\n\
+  \    * Reporting bugs and security concerns: facebook.com/whitehat/info\n    * Reporting\
+  \ violations of the Acceptable Use Policy or unlicensed uses of Meta Llama 3: [email protected]"
+extra_gated_fields:
+  First Name: text
+  Last Name: text
+  Date of birth: date_picker
+  Country: country
+  Affiliation: text
+  Job title:
+    type: select
+    options:
+    - Student
+    - Research Graduate
+    - AI researcher
+    - AI developer/engineer
+    - Reporter
+    - Other
+  geo: ip_location
+  ? 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
+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/).
+extra_gated_button_content: Submit
+---
+
+<div style="width: auto; margin-left: auto; margin-right: auto">
+<img src="https://i.imgur.com/jC7kdl8.jpeg" alt="TensorBlock" style="width: 100%; min-width: 400px; display: block; margin: auto;">
+</div>
+<div style="display: flex; justify-content: space-between; width: 100%;">
+    <div style="display: flex; flex-direction: column; align-items: flex-start;">
+        <p style="margin-top: 0.5em; margin-bottom: 0em;">
+            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>
+        </p>
+    </div>
+</div>
+
+## meta-llama/Llama-3.1-8B-Instruct - GGUF
+
+This repo contains GGUF format model files for [meta-llama/Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct).
+
+The files were quantized using machines provided by [TensorBlock](https://tensorblock.co/), and they are compatible with llama.cpp as of [commit b4011](https://github.com/ggerganov/llama.cpp/commit/a6744e43e80f4be6398fc7733a01642c846dce1d).
+
+<div style="text-align: left; margin: 20px 0;">
+    <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;">
+        Run them on the TensorBlock client using your local machine ↗
+    </a>
+</div>
+
+## Prompt template
+
+```
+<|begin_of_text|><|start_header_id|>system<|end_header_id|>
+
+Cutting Knowledge Date: December 2023
+Today Date: 26 Jul 2024
+
+{system_prompt}<|eot_id|><|start_header_id|>user<|end_header_id|>
+
+{prompt}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
+```
+
+## Model file specification
+
+| Filename | Quant type | File Size | Description |
+| -------- | ---------- | --------- | ----------- |
+| [Llama-3.1-8B-Instruct-Q2_K.gguf](https://huggingface.co/tensorblock/Llama-3.1-8B-Instruct-GGUF/blob/main/Llama-3.1-8B-Instruct-Q2_K.gguf) | Q2_K | 3.179 GB | smallest, significant quality loss - not recommended for most purposes |
+| [Llama-3.1-8B-Instruct-Q3_K_S.gguf](https://huggingface.co/tensorblock/Llama-3.1-8B-Instruct-GGUF/blob/main/Llama-3.1-8B-Instruct-Q3_K_S.gguf) | Q3_K_S | 3.665 GB | very small, high quality loss |
+| [Llama-3.1-8B-Instruct-Q3_K_M.gguf](https://huggingface.co/tensorblock/Llama-3.1-8B-Instruct-GGUF/blob/main/Llama-3.1-8B-Instruct-Q3_K_M.gguf) | Q3_K_M | 4.019 GB | very small, high quality loss |
+| [Llama-3.1-8B-Instruct-Q3_K_L.gguf](https://huggingface.co/tensorblock/Llama-3.1-8B-Instruct-GGUF/blob/main/Llama-3.1-8B-Instruct-Q3_K_L.gguf) | Q3_K_L | 4.322 GB | small, substantial quality loss |
+| [Llama-3.1-8B-Instruct-Q4_0.gguf](https://huggingface.co/tensorblock/Llama-3.1-8B-Instruct-GGUF/blob/main/Llama-3.1-8B-Instruct-Q4_0.gguf) | Q4_0 | 4.661 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
+| [Llama-3.1-8B-Instruct-Q4_K_S.gguf](https://huggingface.co/tensorblock/Llama-3.1-8B-Instruct-GGUF/blob/main/Llama-3.1-8B-Instruct-Q4_K_S.gguf) | Q4_K_S | 4.693 GB | small, greater quality loss |
+| [Llama-3.1-8B-Instruct-Q4_K_M.gguf](https://huggingface.co/tensorblock/Llama-3.1-8B-Instruct-GGUF/blob/main/Llama-3.1-8B-Instruct-Q4_K_M.gguf) | Q4_K_M | 4.921 GB | medium, balanced quality - recommended |
+| [Llama-3.1-8B-Instruct-Q5_0.gguf](https://huggingface.co/tensorblock/Llama-3.1-8B-Instruct-GGUF/blob/main/Llama-3.1-8B-Instruct-Q5_0.gguf) | Q5_0 | 5.599 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
+| [Llama-3.1-8B-Instruct-Q5_K_S.gguf](https://huggingface.co/tensorblock/Llama-3.1-8B-Instruct-GGUF/blob/main/Llama-3.1-8B-Instruct-Q5_K_S.gguf) | Q5_K_S | 5.599 GB | large, low quality loss - recommended |
+| [Llama-3.1-8B-Instruct-Q5_K_M.gguf](https://huggingface.co/tensorblock/Llama-3.1-8B-Instruct-GGUF/blob/main/Llama-3.1-8B-Instruct-Q5_K_M.gguf) | Q5_K_M | 5.733 GB | large, very low quality loss - recommended |
+| [Llama-3.1-8B-Instruct-Q6_K.gguf](https://huggingface.co/tensorblock/Llama-3.1-8B-Instruct-GGUF/blob/main/Llama-3.1-8B-Instruct-Q6_K.gguf) | Q6_K | 6.596 GB | very large, extremely low quality loss |
+| [Llama-3.1-8B-Instruct-Q8_0.gguf](https://huggingface.co/tensorblock/Llama-3.1-8B-Instruct-GGUF/blob/main/Llama-3.1-8B-Instruct-Q8_0.gguf) | Q8_0 | 8.541 GB | very large, extremely low quality loss - not recommended |
+
+
+## Downloading instruction
+
+### Command line
+
+Firstly, install Huggingface Client
+
+```shell
+pip install -U "huggingface_hub[cli]"
+```
+
+Then, downoad the individual model file the a local directory
+
+```shell
+huggingface-cli download tensorblock/Llama-3.1-8B-Instruct-GGUF --include "Llama-3.1-8B-Instruct-Q2_K.gguf" --local-dir MY_LOCAL_DIR
+```
+
+If you wanna download multiple model files with a pattern (e.g., `*Q4_K*gguf`), you can try:
+
+```shell
+huggingface-cli download tensorblock/Llama-3.1-8B-Instruct-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
+```