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@@ -13,7 +13,7 @@ base_model: meta-llama/Llama-2-7b-hf
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  # llama-2-7b-instruct-peft 🦙
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- This instruction model was built via parameter-efficient QLoRA finetuning of [Llama-2-7b](https://huggingface.co/meta-llama/Llama-2-7b-hf) on the first 5k rows of [ehartford/dolphin](https://huggingface.co/datasets/ehartford/dolphin) and the first 5k rows of [garage-bAInd/Open-Platypus](https://huggingface.co/datasets/garage-bAInd/Open-Platypus). Finetuning was executed on 4x A6000s (48 GB RTX) for roughly 32 hours on the [Lambda Labs](https://cloud.lambdalabs.com/instances) platform.
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  ### Benchmark metrics
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  # llama-2-7b-instruct-peft 🦙
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+ This instruction model was built via parameter-efficient QLoRA finetuning of [Llama-2-7b](https://huggingface.co/meta-llama/Llama-2-7b-hf) on the first 5k rows of [ehartford/dolphin](https://huggingface.co/datasets/ehartford/dolphin) and the first 5k rows of [garage-bAInd/Open-Platypus](https://huggingface.co/datasets/garage-bAInd/Open-Platypus). Finetuning was executed on 1x A100 (40 GB SXM) for roughly xx hours on the [Lambda Labs](https://cloud.lambdalabs.com/instances) platform.
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  ### Benchmark metrics
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