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README.md
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---
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base_model: meta-llama/Meta-Llama-3.1-405B-Instruct
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language:
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- en
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library_name: transformers
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quantized_by: mradermacher
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---
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## About
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@@ -32,9 +210,16 @@ more details, including on how to concatenate multi-part files.
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| [PART 1](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-Instruct-GGUF/resolve/main/Meta-Llama-3.1-405B-Instruct.IQ3_XS.gguf.part1of4) [PART 2](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-Instruct-GGUF/resolve/main/Meta-Llama-3.1-405B-Instruct.IQ3_XS.gguf.part2of4) [PART 3](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-Instruct-GGUF/resolve/main/Meta-Llama-3.1-405B-Instruct.IQ3_XS.gguf.part3of4) [PART 4](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-Instruct-GGUF/resolve/main/Meta-Llama-3.1-405B-Instruct.IQ3_XS.gguf.part4of4) | IQ3_XS | 168.2 | |
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| [PART 1](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-Instruct-GGUF/resolve/main/Meta-Llama-3.1-405B-Instruct.Q3_K_S.gguf.part1of4) [PART 2](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-Instruct-GGUF/resolve/main/Meta-Llama-3.1-405B-Instruct.Q3_K_S.gguf.part2of4) [PART 3](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-Instruct-GGUF/resolve/main/Meta-Llama-3.1-405B-Instruct.Q3_K_S.gguf.part3of4) [PART 4](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-Instruct-GGUF/resolve/main/Meta-Llama-3.1-405B-Instruct.Q3_K_S.gguf.part4of4) | Q3_K_S | 177.2 | |
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| [PART 1](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-Instruct-GGUF/resolve/main/Meta-Llama-3.1-405B-Instruct.IQ3_S.gguf.part1of4) [PART 2](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-Instruct-GGUF/resolve/main/Meta-Llama-3.1-405B-Instruct.IQ3_S.gguf.part2of4) [PART 3](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-Instruct-GGUF/resolve/main/Meta-Llama-3.1-405B-Instruct.IQ3_S.gguf.part3of4) [PART 4](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-Instruct-GGUF/resolve/main/Meta-Llama-3.1-405B-Instruct.IQ3_S.gguf.part4of4) | IQ3_S | 177.7 | beats Q3_K* |
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| [PART 1](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-Instruct-GGUF/resolve/main/Meta-Llama-3.1-405B-Instruct.Q3_K_M.gguf.part1of4) [PART 2](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-Instruct-GGUF/resolve/main/Meta-Llama-3.1-405B-Instruct.Q3_K_M.gguf.part2of4) [PART 3](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-Instruct-GGUF/resolve/main/Meta-Llama-3.1-405B-Instruct.Q3_K_M.gguf.part3of4) [PART 4](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-Instruct-GGUF/resolve/main/Meta-Llama-3.1-405B-Instruct.Q3_K_M.gguf.part4of4) | Q3_K_M | 197.6 | lower quality |
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| [P1](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-Instruct-GGUF/resolve/main/Meta-Llama-3.1-405B-Instruct.Q3_K_L.gguf.part1of5) [P2](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-Instruct-GGUF/resolve/main/Meta-Llama-3.1-405B-Instruct.Q3_K_L.gguf.part2of5) [P3](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-Instruct-GGUF/resolve/main/Meta-Llama-3.1-405B-Instruct.Q3_K_L.gguf.part3of5) [P4](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-Instruct-GGUF/resolve/main/Meta-Llama-3.1-405B-Instruct.Q3_K_L.gguf.part4of5) [P5](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-Instruct-GGUF/resolve/main/Meta-Llama-3.1-405B-Instruct.Q3_K_L.gguf.part5of5) | Q3_K_L | 215.3 | |
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| [P1](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-Instruct-GGUF/resolve/main/Meta-Llama-3.1-405B-Instruct.Q4_K_S.gguf.part1of5) [P2](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-Instruct-GGUF/resolve/main/Meta-Llama-3.1-405B-Instruct.Q4_K_S.gguf.part2of5) [P3](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-Instruct-GGUF/resolve/main/Meta-Llama-3.1-405B-Instruct.Q4_K_S.gguf.part3of5) [P4](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-Instruct-GGUF/resolve/main/Meta-Llama-3.1-405B-Instruct.Q4_K_S.gguf.part4of5) [P5](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-Instruct-GGUF/resolve/main/Meta-Llama-3.1-405B-Instruct.Q4_K_S.gguf.part5of5) | Q4_K_S | 233.0 | fast, recommended |
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Here is a handy graph by ikawrakow comparing some lower-quality quant
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types (lower is better):
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---
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base_model: meta-llama/Meta-Llama-3.1-405B-Instruct
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extra_gated_prompt: "### LLAMA 3.1 COMMUNITY LICENSE AGREEMENT\nLlama 3.1 Version
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Release Date: July 23, 2024\n\"Agreement\" means the terms and conditions for use,
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reproduction, distribution and modification of the Llama Materials set forth herein.\n\"Documentation\"
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means the specifications, manuals and documentation accompanying Llama 3.1 distributed
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by Meta at https://llama.meta.com/doc/overview.\n\"Licensee\" or \"you\" means you,
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their behalf.\n\"Llama 3.1\" means the foundational large language models and software
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and algorithms, including machine-learning model code, trained model weights, inference-enabling
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code, training-enabling code, fine-tuning enabling code and other elements of the
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foregoing distributed by Meta at https://llama.meta.com/llama-downloads.\n\"Llama
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Materials\" means, collectively, Meta’s proprietary Llama 3.1 and Documentation
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Policy for the Llama Materials (available at https://llama.meta.com/llama3_1/use-policy),
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which is hereby incorporated by reference into this Agreement.\n2. Additional Commercial
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Terms. If, on the Llama 3.1 version release date, the monthly active users of the
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you must request a license from Meta, which Meta may grant to you in its sole discretion,
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and you are not authorized to exercise any of the rights under this Agreement unless
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or until Meta otherwise expressly grants you such rights.\n3. Disclaimer of Warranty.
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jurisdiction of any dispute arising out of this Agreement.\n### Llama 3.1 Acceptable
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including Llama 3.1. If you access or use Llama 3.1, you agree to this Acceptable
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Prohibited Uses\nWe want everyone to use Llama 3.1 safely and responsibly. You agree
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you will not use, or allow others to use, Llama 3.1 to:\n 1. Violate the law or
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others’ rights, including to:\n 1. Engage in, promote, generate, contribute to,
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encourage, plan, incite, or further illegal or unlawful activity or content, such
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as:\n 1. Violence or terrorism\n 2. Exploitation or harm to children,
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including the solicitation, creation, acquisition, or dissemination of child exploitative
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content or failure to report Child Sexual Abuse Material\n 3. Human trafficking,
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exploitation, and sexual violence\n 4. The illegal distribution of information
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or materials to minors, including obscene materials, or failure to employ legally
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required age-gating in connection with such information or materials.\n 5.
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Sexual solicitation\n 6. Any other criminal activity\n 3. Engage in, promote,
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incite, or facilitate the harassment, abuse, threatening, or bullying of individuals
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or groups of individuals\n 4. Engage in, promote, incite, or facilitate discrimination
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or other unlawful or harmful conduct in the provision of employment, employment
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benefits, credit, housing, other economic benefits, or other essential goods and
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services\n 5. Engage in the unauthorized or unlicensed practice of any profession
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including, but not limited to, financial, legal, medical/health, or related professional
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practices\n 6. Collect, process, disclose, generate, or infer health, demographic,
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or other sensitive personal or private information about individuals without rights
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or generate any content that infringes, misappropriates, or otherwise violates any
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third-party rights, including the outputs or results of any products or services
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using the Llama Materials\n 8. Create, generate, or facilitate the creation of
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malicious code, malware, computer viruses or do anything else that could disable,
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overburden, interfere with or impair the proper working, integrity, operation or
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appearance of a website or computer system\n2. Engage in, promote, incite, facilitate,
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or assist in the planning or development of activities that present a risk of death
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or bodily harm to individuals, including use of Llama 3.1 related to the following:\n
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\ 1. Military, warfare, nuclear industries or applications, espionage, use for
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materials or activities that are subject to the International Traffic Arms Regulations
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(ITAR) maintained by the United States Department of State\n 2. Guns and illegal
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weapons (including weapon development)\n 3. Illegal drugs and regulated/controlled
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substances\n 4. Operation of critical infrastructure, transportation technologies,
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or heavy machinery\n 5. Self-harm or harm to others, including suicide, cutting,
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and eating disorders\n 6. Any content intended to incite or promote violence,
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abuse, or any infliction of bodily harm to an individual\n3. Intentionally deceive
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or mislead others, including use of Llama 3.1 related to the following:\n 1.
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Generating, promoting, or furthering fraud or the creation or promotion of disinformation\n
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\ 2. Generating, promoting, or furthering defamatory content, including the creation
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of defamatory statements, images, or other content\n 3. Generating, promoting,
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or further distributing spam\n 4. Impersonating another individual without consent,
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authorization, or legal right\n 5. Representing that the use of Llama 3.1 or
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outputs are human-generated\n 6. Generating or facilitating false online engagement,
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including fake reviews and other means of fake online engagement\n4. Fail to appropriately
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disclose to end users any known dangers of your AI system\nPlease report any violation
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of this Policy, software “bug,” or other problems that could lead to a violation
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of this Policy through one of the following means:\n * Reporting issues with
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the model: [https://github.com/meta-llama/llama-models/issues](https://github.com/meta-llama/llama-models/issues)\n
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\ * Reporting risky content generated by the model:\n developers.facebook.com/llama_output_feedback\n
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\ * Reporting bugs and security concerns: facebook.com/whitehat/info\n * Reporting
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violations of the Acceptable Use Policy or unlicensed uses of Meta Llama 3: [email protected]"
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language:
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- en
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- de
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- fr
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- it
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- pt
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- hi
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- es
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- th
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library_name: transformers
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license: llama3.1
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quantized_by: mradermacher
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tags:
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- facebook
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- meta
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- pytorch
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- llama
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- llama-3
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---
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## About
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| [PART 1](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-Instruct-GGUF/resolve/main/Meta-Llama-3.1-405B-Instruct.IQ3_XS.gguf.part1of4) [PART 2](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-Instruct-GGUF/resolve/main/Meta-Llama-3.1-405B-Instruct.IQ3_XS.gguf.part2of4) [PART 3](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-Instruct-GGUF/resolve/main/Meta-Llama-3.1-405B-Instruct.IQ3_XS.gguf.part3of4) [PART 4](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-Instruct-GGUF/resolve/main/Meta-Llama-3.1-405B-Instruct.IQ3_XS.gguf.part4of4) | IQ3_XS | 168.2 | |
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211 |
| [PART 1](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-Instruct-GGUF/resolve/main/Meta-Llama-3.1-405B-Instruct.Q3_K_S.gguf.part1of4) [PART 2](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-Instruct-GGUF/resolve/main/Meta-Llama-3.1-405B-Instruct.Q3_K_S.gguf.part2of4) [PART 3](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-Instruct-GGUF/resolve/main/Meta-Llama-3.1-405B-Instruct.Q3_K_S.gguf.part3of4) [PART 4](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-Instruct-GGUF/resolve/main/Meta-Llama-3.1-405B-Instruct.Q3_K_S.gguf.part4of4) | Q3_K_S | 177.2 | |
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| [PART 1](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-Instruct-GGUF/resolve/main/Meta-Llama-3.1-405B-Instruct.IQ3_S.gguf.part1of4) [PART 2](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-Instruct-GGUF/resolve/main/Meta-Llama-3.1-405B-Instruct.IQ3_S.gguf.part2of4) [PART 3](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-Instruct-GGUF/resolve/main/Meta-Llama-3.1-405B-Instruct.IQ3_S.gguf.part3of4) [PART 4](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-Instruct-GGUF/resolve/main/Meta-Llama-3.1-405B-Instruct.IQ3_S.gguf.part4of4) | IQ3_S | 177.7 | beats Q3_K* |
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| [PART 1](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-Instruct-GGUF/resolve/main/Meta-Llama-3.1-405B-Instruct.IQ3_M.gguf.part1of4) [PART 2](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-Instruct-GGUF/resolve/main/Meta-Llama-3.1-405B-Instruct.IQ3_M.gguf.part2of4) [PART 3](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-Instruct-GGUF/resolve/main/Meta-Llama-3.1-405B-Instruct.IQ3_M.gguf.part3of4) [PART 4](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-Instruct-GGUF/resolve/main/Meta-Llama-3.1-405B-Instruct.IQ3_M.gguf.part4of4) | IQ3_M | 183.9 | |
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214 |
| [PART 1](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-Instruct-GGUF/resolve/main/Meta-Llama-3.1-405B-Instruct.Q3_K_M.gguf.part1of4) [PART 2](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-Instruct-GGUF/resolve/main/Meta-Llama-3.1-405B-Instruct.Q3_K_M.gguf.part2of4) [PART 3](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-Instruct-GGUF/resolve/main/Meta-Llama-3.1-405B-Instruct.Q3_K_M.gguf.part3of4) [PART 4](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-Instruct-GGUF/resolve/main/Meta-Llama-3.1-405B-Instruct.Q3_K_M.gguf.part4of4) | Q3_K_M | 197.6 | lower quality |
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| [P1](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-Instruct-GGUF/resolve/main/Meta-Llama-3.1-405B-Instruct.Q3_K_L.gguf.part1of5) [P2](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-Instruct-GGUF/resolve/main/Meta-Llama-3.1-405B-Instruct.Q3_K_L.gguf.part2of5) [P3](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-Instruct-GGUF/resolve/main/Meta-Llama-3.1-405B-Instruct.Q3_K_L.gguf.part3of5) [P4](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-Instruct-GGUF/resolve/main/Meta-Llama-3.1-405B-Instruct.Q3_K_L.gguf.part4of5) [P5](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-Instruct-GGUF/resolve/main/Meta-Llama-3.1-405B-Instruct.Q3_K_L.gguf.part5of5) | Q3_K_L | 215.3 | |
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| [P1](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-Instruct-GGUF/resolve/main/Meta-Llama-3.1-405B-Instruct.IQ4_XS.gguf.part1of5) [P2](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-Instruct-GGUF/resolve/main/Meta-Llama-3.1-405B-Instruct.IQ4_XS.gguf.part2of5) [P3](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-Instruct-GGUF/resolve/main/Meta-Llama-3.1-405B-Instruct.IQ4_XS.gguf.part3of5) [P4](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-Instruct-GGUF/resolve/main/Meta-Llama-3.1-405B-Instruct.IQ4_XS.gguf.part4of5) [P5](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-Instruct-GGUF/resolve/main/Meta-Llama-3.1-405B-Instruct.IQ4_XS.gguf.part5of5) | IQ4_XS | 221.3 | |
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| [P1](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-Instruct-GGUF/resolve/main/Meta-Llama-3.1-405B-Instruct.Q4_K_S.gguf.part1of5) [P2](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-Instruct-GGUF/resolve/main/Meta-Llama-3.1-405B-Instruct.Q4_K_S.gguf.part2of5) [P3](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-Instruct-GGUF/resolve/main/Meta-Llama-3.1-405B-Instruct.Q4_K_S.gguf.part3of5) [P4](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-Instruct-GGUF/resolve/main/Meta-Llama-3.1-405B-Instruct.Q4_K_S.gguf.part4of5) [P5](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-Instruct-GGUF/resolve/main/Meta-Llama-3.1-405B-Instruct.Q4_K_S.gguf.part5of5) | Q4_K_S | 233.0 | fast, recommended |
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| [P1](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-Instruct-GGUF/resolve/main/Meta-Llama-3.1-405B-Instruct.Q4_K_M.gguf.part1of5) [P2](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-Instruct-GGUF/resolve/main/Meta-Llama-3.1-405B-Instruct.Q4_K_M.gguf.part2of5) [P3](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-Instruct-GGUF/resolve/main/Meta-Llama-3.1-405B-Instruct.Q4_K_M.gguf.part3of5) [P4](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-Instruct-GGUF/resolve/main/Meta-Llama-3.1-405B-Instruct.Q4_K_M.gguf.part4of5) [P5](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-Instruct-GGUF/resolve/main/Meta-Llama-3.1-405B-Instruct.Q4_K_M.gguf.part5of5) | Q4_K_M | 245.8 | fast, recommended |
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+
| [P1](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-Instruct-GGUF/resolve/main/Meta-Llama-3.1-405B-Instruct.Q5_K_S.gguf.part1of6) [P2](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-Instruct-GGUF/resolve/main/Meta-Llama-3.1-405B-Instruct.Q5_K_S.gguf.part2of6) [P3](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-Instruct-GGUF/resolve/main/Meta-Llama-3.1-405B-Instruct.Q5_K_S.gguf.part3of6) [P4](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-Instruct-GGUF/resolve/main/Meta-Llama-3.1-405B-Instruct.Q5_K_S.gguf.part4of6) [P5](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-Instruct-GGUF/resolve/main/Meta-Llama-3.1-405B-Instruct.Q5_K_S.gguf.part5of6) [P6](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-Instruct-GGUF/resolve/main/Meta-Llama-3.1-405B-Instruct.Q5_K_S.gguf.part6of6) | Q5_K_S | 282.3 | |
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220 |
+
| [P1](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-Instruct-GGUF/resolve/main/Meta-Llama-3.1-405B-Instruct.Q5_K_M.gguf.part1of6) [P2](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-Instruct-GGUF/resolve/main/Meta-Llama-3.1-405B-Instruct.Q5_K_M.gguf.part2of6) [P3](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-Instruct-GGUF/resolve/main/Meta-Llama-3.1-405B-Instruct.Q5_K_M.gguf.part3of6) [P4](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-Instruct-GGUF/resolve/main/Meta-Llama-3.1-405B-Instruct.Q5_K_M.gguf.part4of6) [P5](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-Instruct-GGUF/resolve/main/Meta-Llama-3.1-405B-Instruct.Q5_K_M.gguf.part5of6) [P6](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-Instruct-GGUF/resolve/main/Meta-Llama-3.1-405B-Instruct.Q5_K_M.gguf.part6of6) | Q5_K_M | 289.8 | |
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| [P1](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-Instruct-GGUF/resolve/main/Meta-Llama-3.1-405B-Instruct.Q6_K.gguf.part1of7) [P2](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-Instruct-GGUF/resolve/main/Meta-Llama-3.1-405B-Instruct.Q6_K.gguf.part2of7) [P3](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-Instruct-GGUF/resolve/main/Meta-Llama-3.1-405B-Instruct.Q6_K.gguf.part3of7) [P4](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-Instruct-GGUF/resolve/main/Meta-Llama-3.1-405B-Instruct.Q6_K.gguf.part4of7) [P5](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-Instruct-GGUF/resolve/main/Meta-Llama-3.1-405B-Instruct.Q6_K.gguf.part5of7) [P6](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-Instruct-GGUF/resolve/main/Meta-Llama-3.1-405B-Instruct.Q6_K.gguf.part6of7) [P7](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-Instruct-GGUF/resolve/main/Meta-Llama-3.1-405B-Instruct.Q6_K.gguf.part7of7) | Q6_K | 336.5 | very good quality |
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| [P1](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-Instruct-GGUF/resolve/main/Meta-Llama-3.1-405B-Instruct.Q8_0.gguf.part1of9) [P2](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-Instruct-GGUF/resolve/main/Meta-Llama-3.1-405B-Instruct.Q8_0.gguf.part2of9) [P3](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-Instruct-GGUF/resolve/main/Meta-Llama-3.1-405B-Instruct.Q8_0.gguf.part3of9) [P4](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-Instruct-GGUF/resolve/main/Meta-Llama-3.1-405B-Instruct.Q8_0.gguf.part4of9) [P5](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-Instruct-GGUF/resolve/main/Meta-Llama-3.1-405B-Instruct.Q8_0.gguf.part5of9) [P6](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-Instruct-GGUF/resolve/main/Meta-Llama-3.1-405B-Instruct.Q8_0.gguf.part6of9) [P7](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-Instruct-GGUF/resolve/main/Meta-Llama-3.1-405B-Instruct.Q8_0.gguf.part7of9) [P8](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-Instruct-GGUF/resolve/main/Meta-Llama-3.1-405B-Instruct.Q8_0.gguf.part8of9) [P9](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-Instruct-GGUF/resolve/main/Meta-Llama-3.1-405B-Instruct.Q8_0.gguf.part9of9) | Q8_0 | 435.8 | fast, best quality |
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Here is a handy graph by ikawrakow comparing some lower-quality quant
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types (lower is better):
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