Downloads · 30 days
252
8% of all-time downloads
SmolLM2-360m-German-Instruct
mags0ft/SmolLM2-360m-German-Instruct
SmolLM2-360m-German-Instruct is a text generation model from mags0ft. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as apache-2.0.
<p align="center" <img alt="Showcase image for SmolLM2-360m-German-Instruct" src="https://huggingface.co/mags0ft/SmolLM2-360m-German-Instruct/resolve/main/showcase-image.png" width="600" / </p
All-time downloads
3K
Public
Parameters
362M
4.6 GB on disk
Likes
2
Public
Repo makeup
Click a slice to open those files.
.gguf1.6 GB · 68%
At a glance
- Task
- Text Generation
- Library
- transformers
- License
- apache-2.0
- Model type
- llama
- Access
- Public
- Created
- Jul 17, 2025
- Updated
- Oct 5, 2025
- SHA
- e4095399
Base models
Model card
From the Hugging Face model README
SmolLM2-360m-German-Instruct
<p align="center"> <img alt="Showcase image for SmolLM2-360m-German-Instruct" src="https://huggingface.co/mags0ft/SmolLM2-360m-German-Instruct/resolve/main/showcase-image.png" width="600" /> </p>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 25% 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},
}
- Task
- Text Generation
- Library
- transformers
- Type
- llama
- License
- apache-2.0
- Languages
- de
- Created
- Jul 17, 2025
- Updated
- Oct 5, 2025