---
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](https://github.com/unslothai/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.

[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)