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license: llama3
---

# Alpesteibock-Llama-3-8B-Alpha

**Alpesteibock-Llama-3-8B-Alpha** is an experimental QLoRA fine-tune of [NousResearch/Hermes-2-Pro-Llama-3-8B](https://huggingface.co/NousResearch/Hermes-2-Pro-Llama-3-8B) on a dataset of more than 28 million tokens of Swiss German text from multiple sources.

## Dataset



## Training Details

Hardware: 1x RTX 4090
Duration: ~30 hours in total (~2 hours for first phase and ~28 hours for second phase)

### Hyperparameters

Adapter: QLoRA
Precision: 4 bit
Optimizer: adamw_bnb_8bit
LoRA Rank: 256
LoRA Alpha: 256
Learning Rate: 1e-5
Context Length: 4096 tokens
Batch Size: 1
Gradient Accumulation Steps: 1
Sample Packing: Off for first phase, on for second phase
Epochs: 2

## Limitations