Update README.md

README.md

@@ -77,7 +77,7 @@ We provide 6 variants (of which 3 base and 3 instruction-tuned models):
 - **Llama-3-ChocoLlama-8B-base** ([link](https://huggingface.co/ChocoLlama/Llama-3-ChocoLlama-8B-base)): A language-adapted version of Meta's Llama-8-8B, fine-tuned on the same Dutch dataset as ChocoLlama-2-7B-base, again using LoRa.
 - **Llama-3-ChocoLlama-instruct** ([link](https://huggingface.co/ChocoLlama/Llama-3-ChocoLlama-8B-instruct)): An instruction-tuned version of Llama-3-ChocoLlama-8B-base, fine-tuned on the same dataset as ChocoLlama-2-7B-instruct, again using SFT followed by DPO.
 
-For benchmark results for all models, including compared to their base models and other Dutch LLMs, we refer to our paper [here](some_url).  
+For benchmark results for all models, including compared to their base models and other Dutch LLMs, we refer to our paper [here](https://arxiv.org/pdf/2412.07633).  
 
 ### Model Description
 
@@ -89,8 +89,8 @@ For benchmark results for all models, including compared to their base models an
 
 ### Model Sources
 
-- **Repository:** Will be released soon.
-- **Paper:** Will be released soon.
+- **Repository:** [on Github here](https://github.com/ChocoLlamaModel/ChocoLlama).
+- **Paper:** [on ArXiv here](https://arxiv.org/pdf/2412.07633). 
 
 ## Uses