Unsloth Model Card

README.md

@@ -1,40 +1,21 @@
 ---
 base_model: HuggingFaceTB/SmolLM2-360M
 tags:
+- text-generation-inference
 - transformers
 - unsloth
 - llama
 license: apache-2.0
 language:
-- de
-datasets:
-- wikimedia/wikipedia
-- FreedomIntelligence/alpaca-gpt4-deutsch
+- en
 ---
 
-# SmolLM2-360m-German-Instruct
+# Uploaded finetuned  model
 
-<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>
+- **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.
-
-# 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},
-}
-```
+[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)