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Llama-3.1-8B-Instruct-SkoleGPT-DaSlimOrca-4e

Text Generation
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Safetensors
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llama
text-generation-inference
unsloth
trl
sft
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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
  - Mabeck/Danish-SlimOrca

Uploaded model

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

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

{'train_runtime': 215438.6486, 'train_samples_per_second': 3.141, 'train_steps_per_second': 0.393, 'train_loss': 1.035243785800245, 'epoch': 4.0}

[codecarbon INFO @ 07:52:43] Energy consumed for RAM : 11.292402 kWh. RAM Power : 188.78840446472168 W [codecarbon INFO @ 07:52:43] Energy consumed for all GPUs : 17.520012 kWh. Total GPU Power : 245.77458591976836 W [codecarbon INFO @ 07:52:43] Energy consumed for all CPUs : 2.543341 kWh. Total CPU Power : 42.5 W [codecarbon INFO @ 07:52:43] 31.355754 kWh of electricity used since the beginning.

We ended up using 65.56 GB GPU memory (82.84%), of which 49.83 GB (62.97%) was used for LoRa.