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.gitattributes

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README.md

@@ -0,0 +1,304 @@
+---
+language:
+- en
+- de
+- fr
+- it
+- pt
+- hi
+- es
+- th
+library_name: transformers
+pipeline_tag: text-generation
+tags:
+- facebook
+- meta
+- pytorch
+- llama
+- llama-3
+- TensorBlock
+- GGUF
+license: llama3.2
+extra_gated_prompt: "### LLAMA 3.2 COMMUNITY LICENSE AGREEMENT\n\nLlama 3.2 Version\
+  \ Release Date: September 25, 2024\n\n“Agreement” means the terms and conditions\
+  \ for use, reproduction, distribution  and modification of the Llama Materials set\
+  \ forth herein.\n\n“Documentation” means the specifications, manuals and documentation\
+  \ accompanying Llama 3.2 distributed by Meta at https://llama.meta.com/doc/overview.\n\
+  \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\n“Llama 3.2”\
+  \ 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.\n\n“Llama Materials” means,\
+  \ collectively, Meta’s proprietary Llama 3.2 and Documentation (and  any portion\
+  \ thereof) made available under this Agreement.\n\n“Meta” or “we” means Meta Platforms\
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+  \ 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,\
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+  \ into this Agreement.\n  \n2. Additional Commercial Terms. If, on the Llama 3.2\
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+  \ this Agreement shall terminate as of the date such litigation or claim is filed\
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+  \ claim by any third party arising out of or related to your use or distribution\
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+  \ 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\
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+  \ 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 3.2 Acceptable Use Policy\n\
+  Meta is committed to promoting safe and fair use of its tools and features, including\
+  \ Llama 3.2.  If you access or use Llama 3.2, you agree to this Acceptable Use Policy\
+  \ (“**Policy**”).  The most recent copy of this policy can be found at [https://www.llama.com/llama3_2/use-policy](https://www.llama.com/llama3_2/use-policy).\n\
+  #### Prohibited Uses\nWe want everyone to use Llama 3.2 safely and responsibly.\
+  \ You agree you will not use, or allow others to use, Llama 3.2 to:\n1. 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    1. Engage in, promote, incite, or facilitate the\
+  \ harassment, abuse, threatening, or bullying of individuals or groups of individuals\n\
+  \    2. 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    3.\
+  \ Engage in the unauthorized or unlicensed practice of any profession including,\
+  \ but not limited to, financial, legal, medical/health, or related professional\
+  \ practices\n    4. Collect, process, disclose, generate, or infer private or sensitive\
+  \ information about individuals, including information about individuals’ identity,\
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+  \ 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    7. 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 \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\
+  \ 3.2 related to the following:\n    8. 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    9. Guns and\
+  \ illegal weapons (including weapon development)\n    10. Illegal drugs and regulated/controlled\
+  \ substances\n    11. Operation of critical infrastructure, transportation technologies,\
+  \ or heavy machinery\n    12. Self-harm or harm to others, including suicide, cutting,\
+  \ and eating disorders\n    13. 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 3.2 related to the following:\n    14.\
+  \ Generating, promoting, or furthering fraud or the creation or promotion of disinformation\n\
+  \    15. Generating, promoting, or furthering defamatory content, including the\
+  \ creation of defamatory statements, images, or other content\n    16. Generating,\
+  \ promoting, or further distributing spam\n    17. Impersonating another individual\
+  \ without consent, authorization, or legal right\n    18. Representing that the\
+  \ use of Llama 3.2 or outputs are human-generated\n    19. 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 5. 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 3.2\n\nWith respect to any multimodal models included in Llama 3.2, the\
+  \ rights granted under Section 1(a) of the Llama 3.2 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.\n\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\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)\n\
+  * Reporting risky content generated by the model: [developers.facebook.com/llama_output_feedback](http://developers.facebook.com/llama_output_feedback)\n\
+  * Reporting bugs and security concerns: [facebook.com/whitehat/info](http://facebook.com/whitehat/info)\n\
+  * Reporting violations of the Acceptable Use Policy or unlicensed uses of Llama\
+  \ 3.2: [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
+base_model: meta-llama/Llama-Guard-3-1B
+---
+
+<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-Guard-3-1B - GGUF
+
+This repo contains GGUF format model files for [meta-llama/Llama-Guard-3-1B](https://huggingface.co/meta-llama/Llama-Guard-3-1B).
+
+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|>user<|end_header_id|>
+
+Task: Check if there is unsafe content in 'User' messages in conversations according our safety policy with the below categories.
+
+<BEGIN UNSAFE CONTENT CATEGORIES>
+S1: Violent Crimes.
+S2: Non-Violent Crimes.
+S3: Sex Crimes.
+S4: Child Exploitation.
+S5: Defamation.
+S6: Specialized Advice.
+S7: Privacy.
+S8: Intellectual Property.
+S9: Indiscriminate Weapons.
+S10: Hate.
+S11: Self-Harm.
+S12: Sexual Content.
+S13: Elections.
+<END UNSAFE CONTENT CATEGORIES>
+
+<BEGIN CONVERSATION>
+
+<END CONVERSATION>
+
+Provide your safety assessment for ONLY THE LAST User message in the above conversation:
+ - First line must read 'safe' or 'unsafe'.
+ - If unsafe, a second line must include a comma-separated list of violated categories. <|eot_id|><|start_header_id|>assistant<|end_header_id|>
+```
+
+## Model file specification
+
+| Filename | Quant type | File Size | Description |
+| -------- | ---------- | --------- | ----------- |
+| [Llama-Guard-3-1B-Q2_K.gguf](https://huggingface.co/tensorblock/Llama-Guard-3-1B-GGUF/blob/main/Llama-Guard-3-1B-Q2_K.gguf) | Q2_K | 0.667 GB | smallest, significant quality loss - not recommended for most purposes |
+| [Llama-Guard-3-1B-Q3_K_S.gguf](https://huggingface.co/tensorblock/Llama-Guard-3-1B-GGUF/blob/main/Llama-Guard-3-1B-Q3_K_S.gguf) | Q3_K_S | 0.755 GB | very small, high quality loss |
+| [Llama-Guard-3-1B-Q3_K_M.gguf](https://huggingface.co/tensorblock/Llama-Guard-3-1B-GGUF/blob/main/Llama-Guard-3-1B-Q3_K_M.gguf) | Q3_K_M | 0.804 GB | very small, high quality loss |
+| [Llama-Guard-3-1B-Q3_K_L.gguf](https://huggingface.co/tensorblock/Llama-Guard-3-1B-GGUF/blob/main/Llama-Guard-3-1B-Q3_K_L.gguf) | Q3_K_L | 0.845 GB | small, substantial quality loss |
+| [Llama-Guard-3-1B-Q4_0.gguf](https://huggingface.co/tensorblock/Llama-Guard-3-1B-GGUF/blob/main/Llama-Guard-3-1B-Q4_0.gguf) | Q4_0 | 0.919 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
+| [Llama-Guard-3-1B-Q4_K_S.gguf](https://huggingface.co/tensorblock/Llama-Guard-3-1B-GGUF/blob/main/Llama-Guard-3-1B-Q4_K_S.gguf) | Q4_K_S | 0.923 GB | small, greater quality loss |
+| [Llama-Guard-3-1B-Q4_K_M.gguf](https://huggingface.co/tensorblock/Llama-Guard-3-1B-GGUF/blob/main/Llama-Guard-3-1B-Q4_K_M.gguf) | Q4_K_M | 0.955 GB | medium, balanced quality - recommended |
+| [Llama-Guard-3-1B-Q5_0.gguf](https://huggingface.co/tensorblock/Llama-Guard-3-1B-GGUF/blob/main/Llama-Guard-3-1B-Q5_0.gguf) | Q5_0 | 1.073 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
+| [Llama-Guard-3-1B-Q5_K_S.gguf](https://huggingface.co/tensorblock/Llama-Guard-3-1B-GGUF/blob/main/Llama-Guard-3-1B-Q5_K_S.gguf) | Q5_K_S | 1.073 GB | large, low quality loss - recommended |
+| [Llama-Guard-3-1B-Q5_K_M.gguf](https://huggingface.co/tensorblock/Llama-Guard-3-1B-GGUF/blob/main/Llama-Guard-3-1B-Q5_K_M.gguf) | Q5_K_M | 1.092 GB | large, very low quality loss - recommended |
+| [Llama-Guard-3-1B-Q6_K.gguf](https://huggingface.co/tensorblock/Llama-Guard-3-1B-GGUF/blob/main/Llama-Guard-3-1B-Q6_K.gguf) | Q6_K | 1.237 GB | very large, extremely low quality loss |
+| [Llama-Guard-3-1B-Q8_0.gguf](https://huggingface.co/tensorblock/Llama-Guard-3-1B-GGUF/blob/main/Llama-Guard-3-1B-Q8_0.gguf) | Q8_0 | 1.600 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-Guard-3-1B-GGUF --include "Llama-Guard-3-1B-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-Guard-3-1B-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
+```