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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 + Country: country + Date of birth: date_picker + First Name: text + Job title: + options: + - Student + - Research Graduate + - AI researcher + - AI developer/engineer + - Reporter + - Other + type: select + Last Name: text + geo: ip_location +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 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. 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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: + LlamaUseReport@meta.com" +language: +- en +- de +- fr +- it +- pt +- hi +- es +- th +library_name: transformers +license: llama3.2 +quantized_by: mradermacher +tags: +- facebook +- meta +- pytorch +- llama +- llama-3 +--- +## About + + + + + + +static quants of https://huggingface.co/alpindale/Llama-Guard-3-1B + + +weighted/imatrix quants are available at https://huggingface.co/mradermacher/Llama-Guard-3-1B-i1-GGUF +## Usage + +If you are unsure how to use GGUF files, refer to one of [TheBloke's +READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for +more details, including on how to concatenate multi-part files. + +## Provided Quants + +(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants) + +| Link | Type | Size/GB | Notes | +|:-----|:-----|--------:|:------| +| [GGUF](https://huggingface.co/mradermacher/Llama-Guard-3-1B-GGUF/resolve/main/Llama-Guard-3-1B.Q2_K.gguf) | Q2_K | 0.8 | | +| [GGUF](https://huggingface.co/mradermacher/Llama-Guard-3-1B-GGUF/resolve/main/Llama-Guard-3-1B.IQ3_XS.gguf) | IQ3_XS | 0.8 | | +| [GGUF](https://huggingface.co/mradermacher/Llama-Guard-3-1B-GGUF/resolve/main/Llama-Guard-3-1B.Q3_K_S.gguf) | Q3_K_S | 0.9 | | +| [GGUF](https://huggingface.co/mradermacher/Llama-Guard-3-1B-GGUF/resolve/main/Llama-Guard-3-1B.IQ3_S.gguf) | IQ3_S | 0.9 | beats Q3_K* | +| [GGUF](https://huggingface.co/mradermacher/Llama-Guard-3-1B-GGUF/resolve/main/Llama-Guard-3-1B.IQ3_M.gguf) | IQ3_M | 0.9 | | +| [GGUF](https://huggingface.co/mradermacher/Llama-Guard-3-1B-GGUF/resolve/main/Llama-Guard-3-1B.Q3_K_M.gguf) | Q3_K_M | 0.9 | lower quality | +| [GGUF](https://huggingface.co/mradermacher/Llama-Guard-3-1B-GGUF/resolve/main/Llama-Guard-3-1B.Q3_K_L.gguf) | Q3_K_L | 0.9 | | +| [GGUF](https://huggingface.co/mradermacher/Llama-Guard-3-1B-GGUF/resolve/main/Llama-Guard-3-1B.IQ4_XS.gguf) | IQ4_XS | 1.0 | | +| [GGUF](https://huggingface.co/mradermacher/Llama-Guard-3-1B-GGUF/resolve/main/Llama-Guard-3-1B.Q4_K_S.gguf) | Q4_K_S | 1.0 | fast, recommended | +| [GGUF](https://huggingface.co/mradermacher/Llama-Guard-3-1B-GGUF/resolve/main/Llama-Guard-3-1B.Q4_K_M.gguf) | Q4_K_M | 1.1 | fast, recommended | +| [GGUF](https://huggingface.co/mradermacher/Llama-Guard-3-1B-GGUF/resolve/main/Llama-Guard-3-1B.Q5_K_S.gguf) | Q5_K_S | 1.2 | | +| [GGUF](https://huggingface.co/mradermacher/Llama-Guard-3-1B-GGUF/resolve/main/Llama-Guard-3-1B.Q5_K_M.gguf) | Q5_K_M | 1.2 | | +| [GGUF](https://huggingface.co/mradermacher/Llama-Guard-3-1B-GGUF/resolve/main/Llama-Guard-3-1B.Q6_K.gguf) | Q6_K | 1.3 | very good quality | +| [GGUF](https://huggingface.co/mradermacher/Llama-Guard-3-1B-GGUF/resolve/main/Llama-Guard-3-1B.Q8_0.gguf) | Q8_0 | 1.7 | fast, best quality | +| [GGUF](https://huggingface.co/mradermacher/Llama-Guard-3-1B-GGUF/resolve/main/Llama-Guard-3-1B.f16.gguf) | f16 | 3.1 | 16 bpw, overkill | + +Here is a handy graph by ikawrakow comparing some lower-quality quant +types (lower is better): + +![image.png](https://www.nethype.de/huggingface_embed/quantpplgraph.png) + +And here are Artefact2's thoughts on the matter: +https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9 + +## FAQ / Model Request + +See https://huggingface.co/mradermacher/model_requests for some answers to +questions you might have and/or if you want some other model quantized. + +## Thanks + +I thank my company, [nethype GmbH](https://www.nethype.de/), for letting +me use its servers and providing upgrades to my workstation to enable +this work in my free time. + +