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@@ -14,181 +14,15 @@ pipeline_tag: text-generation
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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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- 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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- \ 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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- \ content intended to incite or promote violence, abuse, or any infliction of bodily\
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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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- Affiliation: text
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- Job title:
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- type: select
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- extra_gated_button_content: Submit
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  ---
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  ## Model Information
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  The Meta Llama 3.1 collection of multilingual large language models (LLMs) is a collection of pretrained and instruction tuned generative models in 8B, 70B and 405B sizes (text in/text out). The Llama 3.1 instruction tuned text only models (8B, 70B, 405B) are optimized for multilingual dialogue use cases and outperform many of the available open source and closed chat models on common industry benchmarks.
 
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  tags:
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  - facebook
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  - meta
 
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  - llama
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  - llama-3
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+
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ Exl2 quant version using [exllamav2 0.1.9](https://github.com/turboderp/exllamav2/releases/tag/v0.1.9)
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+
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+ Update 23/08 - it now includes all the fixes for the tokenizer and chat templates+tool calling
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+
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  ## Model Information
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  The Meta Llama 3.1 collection of multilingual large language models (LLMs) is a collection of pretrained and instruction tuned generative models in 8B, 70B and 405B sizes (text in/text out). The Llama 3.1 instruction tuned text only models (8B, 70B, 405B) are optimized for multilingual dialogue use cases and outperform many of the available open source and closed chat models on common industry benchmarks.