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metadata
base_model: AI-Sweden-Models/Llama-3-8B-instruct
tags:
  - text-generation-inference
  - transformers
  - unsloth
  - llama
  - trl
  - sft
license: apache-2.0
language:
  - en
datasets:
  - kobprof/skolegpt-instruct

Uploaded model

  • Compute sponsored by: Nvidia and Arrow ECS Denmark through Danish Data Science Community
  • Developed by: ThatsGroes
  • License: apache-2.0
  • Finetuned from model : AI-Sweden-Models/Llama-3-8B-instruct

Fine tuned for 1 epoch.

We ended up using 65.62 GB GPU memory (82.92%), of which 49.89 GB (63.04%) was used for LoRa.

[codecarbon INFO @ 21:31:34] Energy consumed for RAM : 0.404226 kWh. RAM Power : 188.78840446472168 W [codecarbon INFO @ 21:31:34] Energy consumed for all GPUs : 0.625855 kWh. Total GPU Power : 82.8216447468557 W [codecarbon INFO @ 21:31:34] Energy consumed for all CPUs : 0.091042 kWh. Total CPU Power : 42.5 W [codecarbon INFO @ 21:31:34] 1.121123 kWh of electricity used since the beginning.

This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.