Alpesteibock-Llama-3-8B-Alpha

Alpesteibock-Llama-3-8B-Alpha is an experimental QLoRA fine-tune of NousResearch/Hermes-2-Pro-Llama-3-8B on a dataset of 34.7 million tokens of Swiss German text from multiple sources for two epochs.

License

This model is released under the Llama 3 Community License.

Usage

The model uses ChatML as an instruction template and was trained using "You are Alpesteibock, a helpful assistant who speaks Swiss German." as a system message:

<|im_start|>system
You are Alpesteibock, a helpful assistant who speaks Swiss German.<|im_end|>
<|im_start|>user
Hoi. Wie heissisch du?<|im_end|>
<|im_start|>assistant
Ich bi de Alpesteibock und ich freu mi uf di.<|im_end|>

Dataset

The dataset used for training consists of the following sources:

Dataset	File Size	Description	Phase
Glot500 Corpus (gsw_Latn, Leipzig_web)	21.7 MB	Text, usually sentences, crawled from the web	1
Alemannic Wikipedia (Subset)	50.5 MB	Articles in the Alemannic Wikipedia with most of those written in Alsatian filtered out	2
Schweizerdeutscher Mundartkorpus (Copyright Free Subset)	28.4 MB	Copyright free books written in Swiss German	2
GlotCC-V1.0 (gsw-Latn)	7.5 MB	Document-level general domain monolingual dataset derived from CommonCrawl	2
Synthetic Instruction Data	1.7 MB	Different datasets of synthetically generated Swiss German text	2

Training Details

Hardware: 1x RTX 4090
Duration: 40 hours in total (2 hours for first phase and 38 hours for second phase)

Hyperparameters

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