commit ffa0406ec75716721fef7b17f767e7df95f1f2f8 Author: ModelHub XC Date: Sun Jul 19 14:39:12 2026 +0800 初始化项目，由ModelHub XC社区提供模型 Model: mradermacher/Llama-Guard-3-8B-GGUF Source: Original Platform diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..b2c7b40 --- /dev/null +++ b/.gitattributes @@ -0,0 +1,50 @@ +*.7z filter=lfs diff=lfs merge=lfs -text +*.arrow filter=lfs diff=lfs merge=lfs -text +*.bin filter=lfs diff=lfs merge=lfs -text +*.bz2 filter=lfs diff=lfs merge=lfs -text +*.ckpt filter=lfs diff=lfs merge=lfs -text +*.ftz filter=lfs diff=lfs merge=lfs -text +*.gz filter=lfs diff=lfs merge=lfs -text +*.h5 filter=lfs diff=lfs merge=lfs -text +*.joblib filter=lfs diff=lfs merge=lfs -text +*.lfs.* filter=lfs diff=lfs merge=lfs -text +*.mlmodel filter=lfs diff=lfs merge=lfs -text +*.model filter=lfs diff=lfs merge=lfs -text +*.msgpack filter=lfs diff=lfs merge=lfs -text +*.npy filter=lfs diff=lfs merge=lfs -text +*.npz filter=lfs diff=lfs merge=lfs -text 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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 3.1 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. 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The courts of California shall have exclusive + jurisdiction of any dispute arising out of this Agreement.\n### Llama 3.1 Acceptable + Use Policy\nMeta 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: LlamaUseReport@meta.com" +language: +- en +library_name: transformers +license: llama3.1 +quantized_by: mradermacher +tags: +- facebook +- meta +- pytorch +- llama +- llama-3 +--- +## About + + + + + + +static quants of https://huggingface.co/meta-llama/Llama-Guard-3-8B + + +weighted/imatrix quants are available at https://huggingface.co/mradermacher/Llama-Guard-3-8B-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-3-8B-GGUF/resolve/main/Llama-Guard-3-8B.Q2_K.gguf) | Q2_K | 3.3 | | +| [GGUF](https://huggingface.co/mradermacher/Llama-Guard-3-8B-GGUF/resolve/main/Llama-Guard-3-8B.IQ3_XS.gguf) | IQ3_XS | 3.6 | | +| [GGUF](https://huggingface.co/mradermacher/Llama-Guard-3-8B-GGUF/resolve/main/Llama-Guard-3-8B.Q3_K_S.gguf) | Q3_K_S | 3.8 | | +| [GGUF](https://huggingface.co/mradermacher/Llama-Guard-3-8B-GGUF/resolve/main/Llama-Guard-3-8B.IQ3_S.gguf) | IQ3_S | 3.8 | beats Q3_K* | +| [GGUF](https://huggingface.co/mradermacher/Llama-Guard-3-8B-GGUF/resolve/main/Llama-Guard-3-8B.IQ3_M.gguf) | IQ3_M | 3.9 | | +| [GGUF](https://huggingface.co/mradermacher/Llama-Guard-3-8B-GGUF/resolve/main/Llama-Guard-3-8B.Q3_K_M.gguf) | Q3_K_M | 4.1 | lower quality | +| [GGUF](https://huggingface.co/mradermacher/Llama-Guard-3-8B-GGUF/resolve/main/Llama-Guard-3-8B.Q3_K_L.gguf) | Q3_K_L | 4.4 | | +| [GGUF](https://huggingface.co/mradermacher/Llama-Guard-3-8B-GGUF/resolve/main/Llama-Guard-3-8B.IQ4_XS.gguf) | IQ4_XS | 4.6 | | +| [GGUF](https://huggingface.co/mradermacher/Llama-Guard-3-8B-GGUF/resolve/main/Llama-Guard-3-8B.Q4_K_S.gguf) | Q4_K_S | 4.8 | fast, recommended | +| [GGUF](https://huggingface.co/mradermacher/Llama-Guard-3-8B-GGUF/resolve/main/Llama-Guard-3-8B.Q4_K_M.gguf) | Q4_K_M | 5.0 | fast, recommended | +| [GGUF](https://huggingface.co/mradermacher/Llama-Guard-3-8B-GGUF/resolve/main/Llama-Guard-3-8B.Q5_K_S.gguf) | Q5_K_S | 5.7 | | +| [GGUF](https://huggingface.co/mradermacher/Llama-Guard-3-8B-GGUF/resolve/main/Llama-Guard-3-8B.Q5_K_M.gguf) | Q5_K_M | 5.8 | | +| [GGUF](https://huggingface.co/mradermacher/Llama-Guard-3-8B-GGUF/resolve/main/Llama-Guard-3-8B.Q6_K.gguf) | Q6_K | 6.7 | very good quality | +| [GGUF](https://huggingface.co/mradermacher/Llama-Guard-3-8B-GGUF/resolve/main/Llama-Guard-3-8B.Q8_0.gguf) | Q8_0 | 8.6 | fast, best quality | +| [GGUF](https://huggingface.co/mradermacher/Llama-Guard-3-8B-GGUF/resolve/main/Llama-Guard-3-8B.f16.gguf) | f16 | 16.2 | 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. + +