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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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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 - de - fr - it - pt - hi - es - th library_name: transformers license: llama3.1 quantized_by: mradermacher tags: - facebook - meta - pytorch - llama - llama-3 --- ## About weighted/imatrix quants of https://huggingface.co/meta-llama/Meta-Llama-3.1-405B static quants are available at https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-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 | |:-----|:-----|--------:|:------| | [PART 1](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-i1-GGUF/resolve/main/Meta-Llama-3.1-405B.i1-IQ1_S.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-i1-GGUF/resolve/main/Meta-Llama-3.1-405B.i1-IQ1_S.gguf.part2of2) | i1-IQ1_S | 86.9 | for the desperate | | [PART 1](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-i1-GGUF/resolve/main/Meta-Llama-3.1-405B.i1-IQ1_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-i1-GGUF/resolve/main/Meta-Llama-3.1-405B.i1-IQ1_M.gguf.part2of2) | i1-IQ1_M | 95.2 | mostly desperate | | [PART 1](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-i1-GGUF/resolve/main/Meta-Llama-3.1-405B.i1-Q2_K.gguf.part1of4) [PART 2](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-i1-GGUF/resolve/main/Meta-Llama-3.1-405B.i1-Q2_K.gguf.part2of4) [PART 3](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-i1-GGUF/resolve/main/Meta-Llama-3.1-405B.i1-Q2_K.gguf.part3of4) [PART 4](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-i1-GGUF/resolve/main/Meta-Llama-3.1-405B.i1-Q2_K.gguf.part4of4) | i1-Q2_K | 151.3 | IQ3_XXS probably better | | [PART 1](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-i1-GGUF/resolve/main/Meta-Llama-3.1-405B.i1-Q3_K_S.gguf.part1of4) [PART 2](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-i1-GGUF/resolve/main/Meta-Llama-3.1-405B.i1-Q3_K_S.gguf.part2of4) [PART 3](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-i1-GGUF/resolve/main/Meta-Llama-3.1-405B.i1-Q3_K_S.gguf.part3of4) [PART 4](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-i1-GGUF/resolve/main/Meta-Llama-3.1-405B.i1-Q3_K_S.gguf.part4of4) | i1-Q3_K_S | 177.2 | IQ3_XS probably better | | [PART 1](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-i1-GGUF/resolve/main/Meta-Llama-3.1-405B.i1-Q3_K_M.gguf.part1of4) [PART 2](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-i1-GGUF/resolve/main/Meta-Llama-3.1-405B.i1-Q3_K_M.gguf.part2of4) [PART 3](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-i1-GGUF/resolve/main/Meta-Llama-3.1-405B.i1-Q3_K_M.gguf.part3of4) [PART 4](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-i1-GGUF/resolve/main/Meta-Llama-3.1-405B.i1-Q3_K_M.gguf.part4of4) | i1-Q3_K_M | 197.6 | IQ3_S probably better | | [P1](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-i1-GGUF/resolve/main/Meta-Llama-3.1-405B.i1-Q3_K_L.gguf.part1of5) [P2](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-i1-GGUF/resolve/main/Meta-Llama-3.1-405B.i1-Q3_K_L.gguf.part2of5) [P3](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-i1-GGUF/resolve/main/Meta-Llama-3.1-405B.i1-Q3_K_L.gguf.part3of5) [P4](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-i1-GGUF/resolve/main/Meta-Llama-3.1-405B.i1-Q3_K_L.gguf.part4of5) [P5](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-i1-GGUF/resolve/main/Meta-Llama-3.1-405B.i1-Q3_K_L.gguf.part5of5) | i1-Q3_K_L | 215.3 | IQ3_M probably better | | [P1](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-i1-GGUF/resolve/main/Meta-Llama-3.1-405B.i1-Q4_K_S.gguf.part1of5) [P2](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-i1-GGUF/resolve/main/Meta-Llama-3.1-405B.i1-Q4_K_S.gguf.part2of5) [P3](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-i1-GGUF/resolve/main/Meta-Llama-3.1-405B.i1-Q4_K_S.gguf.part3of5) [P4](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-i1-GGUF/resolve/main/Meta-Llama-3.1-405B.i1-Q4_K_S.gguf.part4of5) [P5](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-i1-GGUF/resolve/main/Meta-Llama-3.1-405B.i1-Q4_K_S.gguf.part5of5) | i1-Q4_K_S | 233.0 | optimal size/speed/quality | | [P1](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-i1-GGUF/resolve/main/Meta-Llama-3.1-405B.i1-Q4_K_M.gguf.part1of5) [P2](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-i1-GGUF/resolve/main/Meta-Llama-3.1-405B.i1-Q4_K_M.gguf.part2of5) [P3](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-i1-GGUF/resolve/main/Meta-Llama-3.1-405B.i1-Q4_K_M.gguf.part3of5) [P4](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-i1-GGUF/resolve/main/Meta-Llama-3.1-405B.i1-Q4_K_M.gguf.part4of5) [P5](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-i1-GGUF/resolve/main/Meta-Llama-3.1-405B.i1-Q4_K_M.gguf.part5of5) | i1-Q4_K_M | 245.8 | fast, recommended | | [P1](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-i1-GGUF/resolve/main/Meta-Llama-3.1-405B.i1-Q6_K.gguf.part1of7) [P2](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-i1-GGUF/resolve/main/Meta-Llama-3.1-405B.i1-Q6_K.gguf.part2of7) [P3](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-i1-GGUF/resolve/main/Meta-Llama-3.1-405B.i1-Q6_K.gguf.part3of7) [P4](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-i1-GGUF/resolve/main/Meta-Llama-3.1-405B.i1-Q6_K.gguf.part4of7) [P5](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-i1-GGUF/resolve/main/Meta-Llama-3.1-405B.i1-Q6_K.gguf.part5of7) [P6](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-i1-GGUF/resolve/main/Meta-Llama-3.1-405B.i1-Q6_K.gguf.part6of7) [P7](https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-i1-GGUF/resolve/main/Meta-Llama-3.1-405B.i1-Q6_K.gguf.part7of7) | i1-Q6_K | 336.5 | practically like static Q6_K | 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. Additional thanks to [@nicoboss](https://huggingface.co/nicoboss) for giving me access to his private supercomputer, enabling me to provide many more imatrix quants, at much higher quality, than I would otherwise be able to.