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  - **License:** apache-2.0
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  - **Finetuned from model :** AI-Sweden-Models/Llama-3-8B-instruct
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  This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
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  [<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
 
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  - **License:** apache-2.0
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  - **Finetuned from model :** AI-Sweden-Models/Llama-3-8B-instruct
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+ Fine tuned for 1 epoch.
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+ We ended up using 65.62 GB GPU memory (82.92%), of which 49.89 GB (63.04%) was used for LoRa.
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+ [codecarbon INFO @ 21:31:34] Energy consumed for RAM : 0.404226 kWh. RAM Power : 188.78840446472168 W
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+ [codecarbon INFO @ 21:31:34] Energy consumed for all GPUs : 0.625855 kWh. Total GPU Power : 82.8216447468557 W
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+ [codecarbon INFO @ 21:31:34] Energy consumed for all CPUs : 0.091042 kWh. Total CPU Power : 42.5 W
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+ [codecarbon INFO @ 21:31:34] 1.121123 kWh of electricity used since the beginning.
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  This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
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  [<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)