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--- |
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base_model: NousResearch/Meta-Llama-3-70B |
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extra_gated_prompt: "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version |
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Release Date: April 18, 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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of Goods does not apply to this Agreement. The courts of California shall have exclusive |
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jurisdiction of any dispute arising out of this Agreement.\n### Meta Llama 3 Acceptable |
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Use Policy\nMeta is committed to promoting safe and fair use of its tools and features, |
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including Meta Llama 3. If you access or use Meta Llama 3, you agree to this Acceptable |
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Use Policy (“Policy”). The most recent copy of this policy can be found at [https://llama.meta.com/llama3/use-policy](https://llama.meta.com/llama3/use-policy)\n#### |
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Prohibited Uses\nWe want everyone to use Meta Llama 3 safely and responsibly. You |
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Sexual solicitation\n 6. Any other criminal activity\n 2. 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 3. 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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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 Meta Llama 3 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 Meta Llama 3 |
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or 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/llama3](https://github.com/meta-llama/llama3)\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: LlamaUseReport@meta.com" |
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language: |
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- en |
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library_name: transformers |
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license: other |
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license_link: LICENSE |
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license_name: llama3 |
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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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|
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<!-- ### quantize_version: 2 --> |
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<!-- ### output_tensor_quantised: 1 --> |
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<!-- ### convert_type: hf --> |
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<!-- ### vocab_type: --> |
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<!-- ### tags: --> |
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static quants of https://huggingface.co/NousResearch/Meta-Llama-3-70B |
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<!-- provided-files --> |
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weighted/imatrix quants are available at https://huggingface.co/mradermacher/Meta-Llama-3-70B-i1-GGUF |
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## Usage |
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|
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If you are unsure how to use GGUF files, refer to one of [TheBloke's |
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READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for |
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more details, including on how to concatenate multi-part files. |
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|
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## Provided Quants |
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(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants) |
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| Link | Type | Size/GB | Notes | |
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|:-----|:-----|--------:|:------| |
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| [GGUF](https://huggingface.co/mradermacher/Meta-Llama-3-70B-GGUF/resolve/main/Meta-Llama-3-70B.Q2_K.gguf) | Q2_K | 26.5 | | |
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| [GGUF](https://huggingface.co/mradermacher/Meta-Llama-3-70B-GGUF/resolve/main/Meta-Llama-3-70B.IQ3_XS.gguf) | IQ3_XS | 29.4 | | |
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| [GGUF](https://huggingface.co/mradermacher/Meta-Llama-3-70B-GGUF/resolve/main/Meta-Llama-3-70B.IQ3_S.gguf) | IQ3_S | 31.0 | beats Q3_K* | |
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| [GGUF](https://huggingface.co/mradermacher/Meta-Llama-3-70B-GGUF/resolve/main/Meta-Llama-3-70B.Q3_K_S.gguf) | Q3_K_S | 31.0 | | |
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| [GGUF](https://huggingface.co/mradermacher/Meta-Llama-3-70B-GGUF/resolve/main/Meta-Llama-3-70B.IQ3_M.gguf) | IQ3_M | 32.0 | | |
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| [GGUF](https://huggingface.co/mradermacher/Meta-Llama-3-70B-GGUF/resolve/main/Meta-Llama-3-70B.Q3_K_M.gguf) | Q3_K_M | 34.4 | lower quality | |
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| [GGUF](https://huggingface.co/mradermacher/Meta-Llama-3-70B-GGUF/resolve/main/Meta-Llama-3-70B.Q3_K_L.gguf) | Q3_K_L | 37.2 | | |
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| [GGUF](https://huggingface.co/mradermacher/Meta-Llama-3-70B-GGUF/resolve/main/Meta-Llama-3-70B.IQ4_XS.gguf) | IQ4_XS | 38.4 | | |
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| [GGUF](https://huggingface.co/mradermacher/Meta-Llama-3-70B-GGUF/resolve/main/Meta-Llama-3-70B.Q4_K_S.gguf) | Q4_K_S | 40.4 | fast, recommended | |
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| [GGUF](https://huggingface.co/mradermacher/Meta-Llama-3-70B-GGUF/resolve/main/Meta-Llama-3-70B.Q4_K_M.gguf) | Q4_K_M | 42.6 | fast, recommended | |
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| [GGUF](https://huggingface.co/mradermacher/Meta-Llama-3-70B-GGUF/resolve/main/Meta-Llama-3-70B.Q5_K_S.gguf) | Q5_K_S | 48.8 | | |
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| [GGUF](https://huggingface.co/mradermacher/Meta-Llama-3-70B-GGUF/resolve/main/Meta-Llama-3-70B.Q5_K_M.gguf) | Q5_K_M | 50.0 | | |
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| [PART 1](https://huggingface.co/mradermacher/Meta-Llama-3-70B-GGUF/resolve/main/Meta-Llama-3-70B.Q6_K.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Meta-Llama-3-70B-GGUF/resolve/main/Meta-Llama-3-70B.Q6_K.gguf.part2of2) | Q6_K | 58.0 | very good quality | |
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| [PART 1](https://huggingface.co/mradermacher/Meta-Llama-3-70B-GGUF/resolve/main/Meta-Llama-3-70B.Q8_0.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Meta-Llama-3-70B-GGUF/resolve/main/Meta-Llama-3-70B.Q8_0.gguf.part2of2) | Q8_0 | 75.1 | fast, best quality | |
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|
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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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![image.png](https://www.nethype.de/huggingface_embed/quantpplgraph.png) |
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And here are Artefact2's thoughts on the matter: |
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https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9 |
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|
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## FAQ / Model Request |
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|
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See https://huggingface.co/mradermacher/model_requests for some answers to |
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questions you might have and/or if you want some other model quantized. |
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|
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## Thanks |
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|
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I thank my company, [nethype GmbH](https://www.nethype.de/), for letting |
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me use its servers and providing upgrades to my workstation to enable |
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this work in my free time. |
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<!-- end --> |
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