---
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](https://github.com/unslothai/unsloth) and Huggingface's TRL library.

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