| base_model: HuggingFaceTB/SmolLM2-360M | |
| tags: | |
| - transformers | |
| - unsloth | |
| - llama | |
| license: apache-2.0 | |
| language: | |
| - de | |
| datasets: | |
| - wikimedia/wikipedia | |
| - FreedomIntelligence/alpaca-gpt4-deutsch | |
| # 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 | |
| - [Ollama](https://ollama.com/jace-ai/SmolLM2-German-Instruct) | |
| - [Technical report paper](https://huggingface.co/mags0ft/SmolLM2-360m-German-Instruct/resolve/main/Enhancing%20Foreign%20Language%20Proficiency%20in%20SmolLM2-360M%20via%20Continued%20Pretraining%20and%20Instruction%20Fine-Tuning.pdf) | |
| # Cite as | |
| ```bibtex | |
| @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}, | |
| } | |
| ``` |