diff --git a/README.md b/README.md index 68e0db5..3643cd0 100644 --- a/README.md +++ b/README.md @@ -1,21 +1,39 @@ --- base_model: HuggingFaceTB/SmolLM2-360M tags: -- text-generation-inference - transformers - unsloth - llama license: apache-2.0 language: -- en +- de +datasets: +- wikimedia/wikipedia +- FreedomIntelligence/alpaca-gpt4-deutsch --- +# SmolLM2-360m-German-Instruct -# Uploaded finetuned model +

+ Showcase image for SmolLM2-360m-German-Instruct +

-- **Developed by:** mags0ft -- **License:** apache-2.0 -- **Finetuned from model :** HuggingFaceTB/SmolLM2-360M +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). -This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library. +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. -[](https://github.com/unslothai/unsloth) +# 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}, +} +``` \ No newline at end of file