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  > Llama 3 is an auto-regressive language model that uses an optimized transformer architecture. The tuned versions use supervised fine-tuning (SFT) and reinforcement learning with human feedback (RLHF) to align with human preferences for helpfulness and safety.
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  This repo contains GGUF format model files for Meta’s Llama-3-8B-Instruct,
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- **updated as of 2024-04-29** to incorporate tokenization improvements, as well as previous interventions to handle the `<|eot_id|>` special token as EOS token.
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  Learn more on Meta’s [Llama 3 page](https://llama.meta.com/llama3).
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  > Llama 3 is an auto-regressive language model that uses an optimized transformer architecture. The tuned versions use supervised fine-tuning (SFT) and reinforcement learning with human feedback (RLHF) to align with human preferences for helpfulness and safety.
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  This repo contains GGUF format model files for Meta’s Llama-3-8B-Instruct,
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+ **updated as of 2024-04-29** to incorporate [tokenization improvements](https://github.com/ggerganov/llama.cpp/pull/6920), as well as previous interventions to handle the `<|eot_id|>` special token as EOS token.
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  Learn more on Meta’s [Llama 3 page](https://llama.meta.com/llama3).
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