Update README.md

README.md

@@ -7,12 +7,12 @@ language:
 
 # 🐟 EvoLLM-JP-v1-7B
 
-🤗 [Models](https://huggingface.co/SakanaAI) | 📚 [Paper](https://arxiv.org/abs/2403.13187) | 📝 [Blog](https://sakana.ai/evolutionary-model-merge/) | 🐦 [Twitter](https://twitter.com/SakanaAILabs)
+🤗 [Models](https://huggingface.co/SakanaAI) | 📚 [Paper](TODO) | 📝 [Blog](TODO) | 🐦 [Twitter](https://twitter.com/SakanaAILabs)
 
 
 <!-- Provide a quick summary of what the model is/does. -->
 
-**EvoLLM-JP-v1-7B** is an experimental general-purpose Japanese LLM. This model was created using the Evolutionary Model Merge method. Please refer to our [report](https://arxiv.org/abs/2403.13187) and [blog](https://sakana.ai/evolutionary-model-merge/) for more details.  This model was produced by merging the following models. We are grateful to the developers of the source models.
+**EvoLLM-JP-v1-7B** is an experimental general-purpose Japanese LLM. This model was created using the Evolutionary Model Merge method. Please refer to our [report](TOOD) and [blog](TODO) for more details.  This model was produced by merging the following models. We are grateful to the developers of the source models.
 
 - [Shisa Gamma 7B v1](https://huggingface.co/augmxnt/shisa-gamma-7b-v1)
 - [WizardMath 7B V1.1](https://huggingface.co/WizardLM/WizardMath-7B-V1.1)
@@ -67,17 +67,10 @@ print(generated_text)
 - **Language(s):** Japanese
 - **License:** [MICROSOFT RESEARCH LICENSE TERMS](./LICENSE) (due to the inclusion of the WizardMath model)
 - **Repository:** [SakanaAI/evolutionary-model-merge](https://github.com/SakanaAI/evolutionary-model-merge)
-- **Paper:** https://arxiv.org/abs/2403.13187
-- **Blog:** https://sakana.ai/evolutionary-model-merge
+- **Paper:** TODO
+- **Blog:** TODO
 
 
-## Uses
-This model is provided for research and development purposes only and should be considered as an experimental prototype. 
-It is not intended for commercial use or deployment in mission-critical environments. 
-Use of this model is at the user's own risk, and its performance and outcomes are not guaranteed. 
-Sakana AI shall not be liable for any direct, indirect, special, incidental, or consequential damages, or any loss arising from the use of this model, regardless of the results obtained. 
-Users must fully understand the risks associated with the use of this model and use it at their own discretion.
-
 
 ## Acknowledgement
 
@@ -91,9 +84,9 @@ We would like to thank the developers of the source models for their contributio
       title         = {Evolutionary Optimization of Model Merging Recipes}, 
       author.       = {Takuya Akiba and Makoto Shing and Yujin Tang and Qi Sun and David Ha},
       year          = {2024},
-      eprint        = {2403.13187},
+      eprint        = {TODO},
       archivePrefix = {arXiv},
-      primaryClass  = {cs.NE}
+      primaryClass  = {cs.CV}
 }
 ```