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						--- | 
					
					
						
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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 | 
					
					
						
						| 
							 | 
						base_model: meta-llama/Meta-Llama-3.1-70B-Instruct | 
					
					
						
						| 
							 | 
						base_model_relation: quantized | 
					
					
						
						| 
							 | 
						license: llama3.1 | 
					
					
						
						| 
							 | 
						pipeline_tag: text-generation | 
					
					
						
						| 
							 | 
						tags: | 
					
					
						
						| 
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						- facebook | 
					
					
						
						| 
							 | 
						- meta | 
					
					
						
						| 
							 | 
						- pytorch | 
					
					
						
						| 
							 | 
						- llama | 
					
					
						
						| 
							 | 
						- llama-3 | 
					
					
						
						| 
							 | 
						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\ | 
					
					
						
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						  \ to this Agreement. The courts of California shall have exclusive jurisdiction\ | 
					
					
						
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						  \ of any dispute arising out of this Agreement.\n### Llama 3.1 Acceptable Use Policy\n\ | 
					
					
						
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							 | 
						  Meta is committed to promoting safe and fair use of its tools and features, including\ | 
					
					
						
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						  \ Llama 3.1. If you access or use Llama 3.1, you agree to this Acceptable Use Policy\ | 
					
					
						
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						  \ (“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\ | 
					
					
						
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							 | 
						  #### Prohibited Uses\nWe want everyone to use Llama 3.1 safely and responsibly.\ | 
					
					
						
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						  \ You agree you will not use, or allow others to use, Llama 3.1 to:\n 1. Violate\ | 
					
					
						
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						  \ the law or others’ rights, including to:\n    1. Engage in, promote, generate,\ | 
					
					
						
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						  \ contribute to, encourage, plan, incite, or further illegal or unlawful activity\ | 
					
					
						
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						  \ or content, such as:\n        1. Violence or terrorism\n        2. Exploitation\ | 
					
					
						
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						  \ or harm to children, including the solicitation, creation, acquisition, or dissemination\ | 
					
					
						
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						  \ of child exploitative content or failure to report Child Sexual Abuse Material\n\ | 
					
					
						
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						  \        3. Human trafficking, exploitation, and sexual violence\n        4. The\ | 
					
					
						
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						  \ such information or materials.\n        5. Sexual solicitation\n        6. Any\ | 
					
					
						
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						  \ other criminal activity\n    3. Engage in, promote, incite, or facilitate the\ | 
					
					
						
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						  \ harassment, abuse, threatening, or bullying of individuals or groups of individuals\n\ | 
					
					
						
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						  \    4. Engage in, promote, incite, or facilitate discrimination or other unlawful\ | 
					
					
						
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						  \ or harmful conduct in the provision of employment, employment benefits, credit,\ | 
					
					
						
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						  \ 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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						  \ and consents required by applicable laws\n    7. Engage in or facilitate any action\ | 
					
					
						
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						  \ or generate any content that infringes, misappropriates, or otherwise violates\ | 
					
					
						
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						  \ any 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\ | 
					
					
						
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						  \ of 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\ | 
					
					
						
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						  \ or appearance of a website or computer system\n2. Engage in, promote, incite,\ | 
					
					
						
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						  \ facilitate, or assist in the planning or development of activities that present\ | 
					
					
						
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						  \ a risk of death or bodily harm to individuals, including use of Llama 3.1 related\ | 
					
					
						
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						  \ to the following:\n    1. Military, warfare, nuclear industries or applications,\ | 
					
					
						
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						  \ espionage, use for materials or activities that are subject to the International\ | 
					
					
						
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						  \ State\n    2. Guns and illegal weapons (including weapon development)\n    3.\ | 
					
					
						
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						  \ Illegal drugs and regulated/controlled substances\n    4. Operation of critical\ | 
					
					
						
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						  \ infrastructure, transportation technologies, or heavy machinery\n    5. Self-harm\ | 
					
					
						
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						  \ or harm to others, including suicide, cutting, and eating disorders\n    6. Any\ | 
					
					
						
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						  \ content intended to incite or promote violence, abuse, or any infliction of bodily\ | 
					
					
						
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						  \ harm to an individual\n3. Intentionally deceive or mislead others, including use\ | 
					
					
						
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						  \ of Llama 3.1 related to the following:\n    1. Generating, promoting, or furthering\ | 
					
					
						
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						  \ fraud or the creation or promotion of disinformation\n    2. Generating, promoting,\ | 
					
					
						
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						  \ or furthering defamatory content, including the creation of defamatory statements,\ | 
					
					
						
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						  \ images, or other content\n    3. Generating, promoting, or further distributing\ | 
					
					
						
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						  \ spam\n    4. Impersonating another individual without consent, authorization,\ | 
					
					
						
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						  \ or legal right\n    5. Representing that the use of Llama 3.1 or outputs are human-generated\n\ | 
					
					
						
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						  \    6. Generating or facilitating false online engagement, including fake reviews\ | 
					
					
						
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						  \ and other means of fake online engagement\n4. Fail to appropriately disclose to\ | 
					
					
						
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						  \ end users any known dangers of your AI system\nPlease report any violation of\ | 
					
					
						
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						  \ 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\ | 
					
					
						
						| 
							 | 
						  \    * 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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						extra_gated_fields: | 
					
					
						
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						  First Name: text | 
					
					
						
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						  Last Name: text | 
					
					
						
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						  Date of birth: date_picker | 
					
					
						
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						  Country: country | 
					
					
						
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						  Affiliation: text | 
					
					
						
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						  Job title: | 
					
					
						
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						    type: select | 
					
					
						
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						    options: | 
					
					
						
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						    - Student | 
					
					
						
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						    - Research Graduate | 
					
					
						
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						    - AI researcher | 
					
					
						
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						    - AI developer/engineer | 
					
					
						
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						    - Reporter | 
					
					
						
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							 | 
						    - Other | 
					
					
						
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							 | 
						  geo: ip_location | 
					
					
						
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							 | 
						  ? By clicking Submit below I accept the terms of the license and acknowledge that | 
					
					
						
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						    the information I provide will be collected stored processed and shared in accordance | 
					
					
						
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						    with the Meta Privacy Policy | 
					
					
						
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						  : checkbox | 
					
					
						
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						extra_gated_description: The information you provide will be collected, stored, processed | 
					
					
						
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						  and shared in accordance with the [Meta Privacy Policy](https://www.facebook.com/privacy/policy/). | 
					
					
						
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						extra_gated_button_content: Submit | 
					
					
						
						| 
							 | 
						quantized_by: bartowski | 
					
					
						
						| 
							 | 
						--- | 
					
					
						
						| 
							 | 
						 | 
					
					
						
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							 | 
						## Exllama v2 Quantizations of Meta-Llama-3.1-70B-Instruct | 
					
					
						
						| 
							 | 
						
 | 
					
					
						
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							 | 
						Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.1.9">turboderp's ExLlamaV2 v0.1.9</a> for quantization. | 
					
					
						
						| 
							 | 
						
 | 
					
					
						
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							 | 
						<b>The "main" branch only contains the measurement.json, download one of the other branches for the model (see below)</b> | 
					
					
						
						| 
							 | 
						
 | 
					
					
						
						| 
							 | 
						Each branch contains an individual bits per weight, with the main one containing only the meaurement.json for further conversions. | 
					
					
						
						| 
							 | 
						
 | 
					
					
						
						| 
							 | 
						Conversion was done using the default calibration dataset. | 
					
					
						
						| 
							 | 
						
 | 
					
					
						
						| 
							 | 
						Default arguments used except when the bits per weight is above 6.0, at that point the lm_head layer is quantized at 8 bits per weight instead of the default 6. | 
					
					
						
						| 
							 | 
						 | 
					
					
						
						| 
							 | 
						Original model: https://huggingface.co/meta-llama/Meta-Llama-3.1-70B-Instruct | 
					
					
						
						| 
							 | 
						 | 
					
					
						
						| 
							 | 
						 | 
					
					
						
						| 
							 | 
						<a href="https://huggingface.co/bartowski/Meta-Llama-3.1-70B-Instruct-exl2/tree/8_0">8.0 bits per weight</a> | 
					
					
						
						| 
							 | 
						 | 
					
					
						
						| 
							 | 
						<a href="https://huggingface.co/bartowski/Meta-Llama-3.1-70B-Instruct-exl2/tree/6_5">6.5 bits per weight</a> | 
					
					
						
						| 
							 | 
						 | 
					
					
						
						| 
							 | 
						<a href="https://huggingface.co/bartowski/Meta-Llama-3.1-70B-Instruct-exl2/tree/5_0">5.0 bits per weight</a> | 
					
					
						
						| 
							 | 
						 | 
					
					
						
						| 
							 | 
						<a href="https://huggingface.co/bartowski/Meta-Llama-3.1-70B-Instruct-exl2/tree/4_25">4.25 bits per weight</a> | 
					
					
						
						| 
							 | 
						 | 
					
					
						
						| 
							 | 
						<a href="https://huggingface.co/bartowski/Meta-Llama-3.1-70B-Instruct-exl2/tree/3_5">3.5 bits per weight</a> | 
					
					
						
						| 
							 | 
						 | 
					
					
						
						| 
							 | 
						<a href="https://huggingface.co/bartowski/Meta-Llama-3.1-70B-Instruct-exl2/tree/2_2">2.2 bits per weight</a> | 
					
					
						
						| 
							 | 
						 | 
					
					
						
						| 
							 | 
						 | 
					
					
						
						| 
							 | 
						## Download instructions | 
					
					
						
						| 
							 | 
						 | 
					
					
						
						| 
							 | 
						With git: | 
					
					
						
						| 
							 | 
						 | 
					
					
						
						| 
							 | 
						```shell | 
					
					
						
						| 
							 | 
						git clone --single-branch --branch 6_5 https://huggingface.co/bartowski/Meta-Llama-3.1-70B-Instruct-exl2 | 
					
					
						
						| 
							 | 
						``` | 
					
					
						
						| 
							 | 
						 | 
					
					
						
						| 
							 | 
						With huggingface hub (credit to TheBloke for instructions): | 
					
					
						
						| 
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						 | 
					
					
						
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						```shell | 
					
					
						
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						pip3 install huggingface-hub | 
					
					
						
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						``` | 
					
					
						
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						 | 
					
					
						
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						To download the `main` (only useful if you only care about measurement.json) branch to a folder called `Meta-Llama-3.1-70B-Instruct-exl2`: | 
					
					
						
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						 | 
					
					
						
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						```shell | 
					
					
						
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						mkdir Meta-Llama-3.1-70B-Instruct-exl2 | 
					
					
						
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						huggingface-cli download bartowski/Meta-Llama-3.1-70B-Instruct-exl2 --local-dir Meta-Llama-3.1-70B-Instruct-exl2 | 
					
					
						
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						``` | 
					
					
						
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						 | 
					
					
						
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						To download from a different branch, add the `--revision` parameter: | 
					
					
						
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						 | 
					
					
						
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						Linux: | 
					
					
						
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						 | 
					
					
						
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						```shell | 
					
					
						
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						mkdir Meta-Llama-3.1-70B-Instruct-exl2-6_5 | 
					
					
						
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						huggingface-cli download bartowski/Meta-Llama-3.1-70B-Instruct-exl2 --revision 6_5 --local-dir Meta-Llama-3.1-70B-Instruct-exl2-6_5 | 
					
					
						
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						``` | 
					
					
						
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						 | 
					
					
						
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						Windows (which apparently doesn't like _ in folders sometimes?): | 
					
					
						
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 | 
					
					
						
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						```shell | 
					
					
						
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						mkdir Meta-Llama-3.1-70B-Instruct-exl2-6.5 | 
					
					
						
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						huggingface-cli download bartowski/Meta-Llama-3.1-70B-Instruct-exl2 --revision 6_5 --local-dir Meta-Llama-3.1-70B-Instruct-exl2-6.5 | 
					
					
						
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						``` | 
					
					
						
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