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README.md

@@ -0,0 +1,288 @@
+---
+library_name: transformers
+language:
+- en
+- fr
+- it
+- pt
+- hi
+- es
+- th
+- de
+base_model: huihui-ai/Llama-3.3-70B-Instruct-abliterated
+tags:
+- facebook
+- meta
+- pytorch
+- llama
+- llama-3
+- abliterated
+- uncensored
+- TensorBlock
+- GGUF
+extra_gated_prompt: "### LLAMA 3.3 COMMUNITY LICENSE AGREEMENT\nLlama 3.3 Version\
+  \ Release Date: December 6, 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 3.3 distributed by Meta at [https://www.llama.com/docs/overview](https://llama.com/docs/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 3.3\"\
+  \ 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://www.llama.com/llama-downloads](https://www.llama.com/llama-downloads).\n\
+  \"Llama Materials\" means, collectively, Meta’s proprietary Llama 3.3 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\
+  By clicking “I Accept” below or by using or distributing any portion or element\
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+  \ and Redistribution.\na. 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,\
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+  \ 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,\
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+  \ 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 3.3 is licensed under the Llama 3.3 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://www.llama.com/llama3\\_3/use-policy](https://www.llama.com/llama3_3/use-policy)),\
+  \ which is hereby incorporated by reference into this Agreement.  \n2. Additional\
+  \ Commercial Terms. If, on the Llama 3.3 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\
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+  \ 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”\
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+  \ 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\
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+  \ 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\
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+  \ 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 3.3 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\
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+  \ 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 3.3 Acceptable Use Policy\n\
+  Meta is committed to promoting safe and fair use of its tools and features, including\
+  \ Llama 3.3. If you access or use Llama 3.3, you agree to this Acceptable Use Policy\
+  \ (“**Policy**”). The most recent copy of this policy can be found at [https://www.llama.com/llama3\\\
+  _3/use-policy](https://www.llama.com/llama3_3/use-policy).\nProhibited Uses\nWe\
+  \ want everyone to use Llama 3.3 safely and responsibly. You agree you will not\
+  \ use, or allow others to use, Llama 3.3 to:\n1. Violate the law or others’ rights,\
+  \ including to:\n\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\n   2. Engage\
+  \ in, promote, incite, or facilitate the harassment, abuse, threatening, or bullying\
+  \ of individuals or groups of individuals\n\n   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\n\n   4. Engage in the unauthorized or unlicensed\
+  \ practice of any profession including, but not limited to, financial, legal, medical/health,\
+  \ or related professional practices\n\n   5. Collect, process, disclose, generate,\
+  \ or infer private or sensitive information about individuals, including information\
+  \ about individuals’ identity, health, or demographic information, unless you have\
+  \ obtained the right to do so in accordance with applicable law\n\n   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\
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+  \ 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\n\n\
+  \   8. Engage in any action, or facilitate any action, to intentionally circumvent\
+  \ or remove usage restrictions or other safety measures, or to enable functionality\
+  \ disabled by Meta\n\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 3.3 related to the following:\n\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 or to the U.S. Biological\
+  \ Weapons Anti-Terrorism Act of 1989 or the Chemical Weapons Convention Implementation\
+  \ Act of 1997\n\n   2. Guns and illegal weapons (including weapon development)\n\
+  \n   3. Illegal drugs and regulated/controlled substances\n\n   4. Operation of\
+  \ critical infrastructure, transportation technologies, or heavy machinery\n\n \
+  \  5. Self-harm or harm to others, including suicide, cutting, and eating disorders\n\
+  \n   6. Any content intended to incite or promote violence, abuse, or any infliction\
+  \ of bodily harm to an individual\n\n3. Intentionally deceive or mislead others,\
+  \ including use of Llama 3.3 related to the following:\n\n   1. Generating, promoting,\
+  \ or furthering fraud or the creation or promotion of disinformation\n\n   2. Generating,\
+  \ promoting, or furthering defamatory content, including the creation of defamatory\
+  \ statements, images, or other content\n\n   3. Generating, promoting, or further\
+  \ distributing spam\n\n   4. Impersonating another individual without consent, authorization,\
+  \ or legal right\n\n   5. Representing that the use of Llama 3.3 or outputs are\
+  \ human-generated\n\n   6. Generating or facilitating false online engagement, including\
+  \ fake reviews and other means of fake online engagement\n\n4. Fail to appropriately\
+  \ disclose to end users any known dangers of your AI system\n5. Interact with third\
+  \ party tools, models, or software designed to generate unlawful content or engage\
+  \ in unlawful or harmful conduct and/or represent that the outputs of such tools,\
+  \ models, or software are associated with Meta or Llama 3.3\nWith respect to any\
+  \ multimodal models included in Llama 3.3, the rights granted under Section 1(a)\
+  \ of the Llama 3.3 Community License Agreement are not being granted to you if you\
+  \ are an individual domiciled in, or a company with a principal place of business\
+  \ in, the European Union. This restriction does not apply to end users of a product\
+  \ or service that incorporates any such multimodal models.\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://l.workplace.com/l.php?u=https%3A%2F%2Fgithub.com%2Fmeta-llama%2Fllama-models%2Fissues&h=AT0qV8W9BFT6NwihiOHRuKYQM_UnkzN_NmHMy91OT55gkLpgi4kQupHUl0ssR4dQsIQ8n3tfd0vtkobvsEvt1l4Ic6GXI2EeuHV8N08OG2WnbAmm0FL4ObkazC6G_256vN0lN9DsykCvCqGZ)\
+  \   * Reporting risky content generated by the model: [developers.facebook.com/llama\\\
+  _output\\_feedback](http://developers.facebook.com/llama_output_feedback)   * Reporting\
+  \ bugs and security concerns: [facebook.com/whitehat/info](http://facebook.com/whitehat/info)\
+  \   * Reporting violations of the Acceptable Use Policy or unlicensed uses of Llama\
+  \ 3.3: [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
+license: llama3.3
+---
+
+<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>
+
+## huihui-ai/Llama-3.3-70B-Instruct-abliterated - GGUF
+
+This repo contains GGUF format model files for [huihui-ai/Llama-3.3-70B-Instruct-abliterated](https://huggingface.co/huihui-ai/Llama-3.3-70B-Instruct-abliterated).
+
+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).
+
+<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-3.3-70B-Instruct-abliterated-Q2_K.gguf](https://huggingface.co/tensorblock/Llama-3.3-70B-Instruct-abliterated-GGUF/blob/main/Llama-3.3-70B-Instruct-abliterated-Q2_K.gguf) | Q2_K | 26.375 GB | smallest, significant quality loss - not recommended for most purposes |
+| [Llama-3.3-70B-Instruct-abliterated-Q3_K_S.gguf](https://huggingface.co/tensorblock/Llama-3.3-70B-Instruct-abliterated-GGUF/blob/main/Llama-3.3-70B-Instruct-abliterated-Q3_K_S.gguf) | Q3_K_S | 30.912 GB | very small, high quality loss |
+| [Llama-3.3-70B-Instruct-abliterated-Q3_K_M.gguf](https://huggingface.co/tensorblock/Llama-3.3-70B-Instruct-abliterated-GGUF/blob/main/Llama-3.3-70B-Instruct-abliterated-Q3_K_M.gguf) | Q3_K_M | 34.267 GB | very small, high quality loss |
+| [Llama-3.3-70B-Instruct-abliterated-Q3_K_L.gguf](https://huggingface.co/tensorblock/Llama-3.3-70B-Instruct-abliterated-GGUF/blob/main/Llama-3.3-70B-Instruct-abliterated-Q3_K_L.gguf) | Q3_K_L | 37.141 GB | small, substantial quality loss |
+| [Llama-3.3-70B-Instruct-abliterated-Q4_0.gguf](https://huggingface.co/tensorblock/Llama-3.3-70B-Instruct-abliterated-GGUF/blob/main/Llama-3.3-70B-Instruct-abliterated-Q4_0.gguf) | Q4_0 | 39.970 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
+| [Llama-3.3-70B-Instruct-abliterated-Q4_K_S.gguf](https://huggingface.co/tensorblock/Llama-3.3-70B-Instruct-abliterated-GGUF/blob/main/Llama-3.3-70B-Instruct-abliterated-Q4_K_S.gguf) | Q4_K_S | 40.347 GB | small, greater quality loss |
+| [Llama-3.3-70B-Instruct-abliterated-Q4_K_M.gguf](https://huggingface.co/tensorblock/Llama-3.3-70B-Instruct-abliterated-GGUF/blob/main/Llama-3.3-70B-Instruct-abliterated-Q4_K_M.gguf) | Q4_K_M | 42.520 GB | medium, balanced quality - recommended |
+| [Llama-3.3-70B-Instruct-abliterated-Q5_0.gguf](https://huggingface.co/tensorblock/Llama-3.3-70B-Instruct-abliterated-GGUF/blob/main/Llama-3.3-70B-Instruct-abliterated-Q5_0.gguf) | Q5_0 | 48.657 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
+| [Llama-3.3-70B-Instruct-abliterated-Q5_K_S.gguf](https://huggingface.co/tensorblock/Llama-3.3-70B-Instruct-abliterated-GGUF/blob/main/Llama-3.3-70B-Instruct-abliterated-Q5_K_S.gguf) | Q5_K_S | 48.657 GB | large, low quality loss - recommended |
+| [Llama-3.3-70B-Instruct-abliterated-Q5_K_M.gguf](https://huggingface.co/tensorblock/Llama-3.3-70B-Instruct-abliterated-GGUF/blob/main/Llama-3.3-70B-Instruct-abliterated-Q5_K_M.gguf) | Q5_K_M | 49.950 GB | large, very low quality loss - recommended |
+| [Llama-3.3-70B-Instruct-abliterated-Q6_K](https://huggingface.co/tensorblock/Llama-3.3-70B-Instruct-abliterated-GGUF/blob/main/Llama-3.3-70B-Instruct-abliterated-Q6_K) | Q6_K | 57.888 GB | very large, extremely low quality loss |
+| [Llama-3.3-70B-Instruct-abliterated-Q8_0](https://huggingface.co/tensorblock/Llama-3.3-70B-Instruct-abliterated-GGUF/blob/main/Llama-3.3-70B-Instruct-abliterated-Q8_0) | Q8_0 | 74.975 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-3.3-70B-Instruct-abliterated-GGUF --include "Llama-3.3-70B-Instruct-abliterated-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-3.3-70B-Instruct-abliterated-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
+```