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Browse files- Q2_K/Q2_K-00001-of-00001.gguf +2 -2
- Q3_K_L/Q3_K_L-00001-of-00001.gguf +2 -2
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- Q6_K/Q6_K-00001-of-00001.gguf +2 -2
- Q8_0/Q8_0-00001-of-00001.gguf +2 -2
- README.md +2 -4
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README.md
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---
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language:
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- en
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license:
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tags:
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- facebook
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- meta
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- llama-3
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- GGUF
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pipeline_tag: text-generation
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license_name: llama3
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license_link: LICENSE
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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\
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\ use, reproduction, distribution and modification of the Llama Materials set forth\
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**Overview** Llama 3 was pretrained on over 15 trillion tokens of data from publicly available sources. The fine-tuning data includes publicly available instruction datasets, as well as over 10M human-annotated examples. Neither the pretraining nor the fine-tuning datasets include Meta user data.
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**Data Freshness** The pretraining data has a cutoff of March 2023 for the
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## Benchmarks
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---
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language:
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- en
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license: llama3
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tags:
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- facebook
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- meta
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- llama-3
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- GGUF
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pipeline_tag: text-generation
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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\
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\ use, reproduction, distribution and modification of the Llama Materials set forth\
|
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|
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|
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**Overview** Llama 3 was pretrained on over 15 trillion tokens of data from publicly available sources. The fine-tuning data includes publicly available instruction datasets, as well as over 10M human-annotated examples. Neither the pretraining nor the fine-tuning datasets include Meta user data.
|
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|
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+
**Data Freshness** The pretraining data has a cutoff of March 2023 for the 8B and December 2023 for the 70B models respectively.
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## Benchmarks
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