初始化项目，由ModelHub XC社区提供模型

Model: mradermacher/Llama-Guard-3-8B-GGUF
Source: Original Platform

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README.md

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+---
+base_model: meta-llama/Llama-Guard-3-8B
+extra_gated_button_content: Submit
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+extra_gated_prompt: "### LLAMA 3.1 COMMUNITY LICENSE AGREEMENT\nLlama 3.1 Version
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+  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
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+  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
+
+<!-- ### quantize_version: 2 -->
+<!-- ### output_tensor_quantised: 1 -->
+<!-- ### convert_type: hf -->
+<!-- ### vocab_type:  -->
+<!-- ### tags:  -->
+static quants of https://huggingface.co/meta-llama/Llama-Guard-3-8B
+
+<!-- provided-files -->
+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.
+
+<!-- end -->