c861aad2ef0f07d753d97471aced526b1b619b03
base_model, tags, license, language, datasets
| base_model | tags | license | language | datasets | ||||||
|---|---|---|---|---|---|---|---|---|---|---|
| HuggingFaceTB/SmolLM2-360M |
|
apache-2.0 |
|
|
SmolLM2-360m-German-Instruct
This is a continued pre-train as well as an instruct fine-tune done using Unsloth in order to make SmolLM2 360m capable of speaking German. It has been trained on 15% of the German Wikipedia as well as the full German version of the Alpaca-GPT4 dataset (translated version).
Even though a lot of training has been done, this is still a tiny model and is highly limited to its small size. Expect many hallucinations and do not use this in a demanding production workflow.
Links
Cite as
@misc{smollm2germaninstruct,
author = {Magnus Leonard Schlinsog},
title = {Enhancing Foreign Language Proficiency in SmolLM2-360M via Continued Pretraining and Instruction Fine-Tuning},
year = {2025},
url = {https://huggingface.co/mags0ft/SmolLM2-360m-German-Instruct},
}
Description
Languages
Jinja
100%
