Update README.md

README.md

@@ -5,17 +5,20 @@ language:
 - ja
 ---
 
-# EvoLLM-JP-v1-7B
+# 🐟 EvoLLM-JP-v1-7B
+
+🤗 [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 a Japanese Math LLM by Evolutionary Model Merge. 
+**EvoLLM-JP-v1-7B** is a Japanese Math LLM by Evolutionary Model Merge. 
 
 ## Model Details
 
 ### Model Description
 
 <!-- Provide a longer summary of what this model is. -->
-EvoLLM-JP-v1-7B is a Japanese Math LLM, merged the following source models in the Parameter Space (PS) by Evolutionary Model Merge.
+**EvoLLM-JP-v1-7B** is a Japanese Math LLM, merged the following source models in the Parameter Space (PS) by Evolutionary Model Merge.
 
 - **Developed by:** [Sakana AI](https://sakana.ai/)
 - **Model type:** Autoregressive Language Model
@@ -30,7 +33,7 @@ EvoLLM-JP-v1-7B is a Japanese Math LLM, merged the following source models in th
 
 <!-- Provide the basic links for the model. -->
 
-- **Repository:** [SakanaAI/evolving-merged-models](https://github.com/SakanaAI/evolving-merged-models)
+- **Repository:** [SakanaAI/evolutionary-model-merge](https://github.com/SakanaAI/evolutionary-model-merge)
 - **Paper:** TODO
 - **Blog:** TODO
 
@@ -70,8 +73,9 @@ print(generated_text)
 ```
 
 ## Evaluation
+For details on the evaluation, please refer to Section 4.1 of the paper. 
 
-We present the results on the [MGSM-JA](https://huggingface.co/datasets/juletxara/mgsm) test set that compares the performance of the our evolved LLMs compared to the source LLMs. To reproduce the results, please use [our Github repository](https://github.com/SakanaAI/evolving-merged-models).
+If you want to reproduce the results, please see [our Github repository](https://github.com/SakanaAI/evolutionary-model-merge).
 
 | Id. | Model | Type | Params | MGSM-JA (acc &uarr; ) |
 | :--: | :-- | :-- | --: | --: |
@@ -79,9 +83,13 @@ We present the results on the [MGSM-JA](https://huggingface.co/datasets/juletxar
 | 2 | [WizardMath 7B V1.1](https://huggingface.co/WizardLM/WizardMath-7B-V1.1) | EN math | 7B | 18.4 |
 | 3 | [Abel 7B 002](https://huggingface.co/GAIR/Abel-7B-002) | EN math | 7B | 30.0 |
 | 4 | [Arithmo2 Mistral 7B](https://huggingface.co/upaya07/Arithmo2-Mistral-7B) | EN math | 7B | 24.0 |
-| 5 | [(Ours) EvoLLM-JP-v1-7B](https://huggingface.co/SakanaAI/EvoLLM-JP-v1-7B) | 1+2+3 | 7B | **52.0** |
-| 6 | [(Ours) EvoLLM-JP-A-v1-7B](https://huggingface.co/SakanaAI/EvoLLM-JP-A-v1-7B) | 1+3+4 | 7B | **52.4** |
-| 7 | [(Ours) EvoLLM-JP-v1-10B](https://huggingface.co/SakanaAI/EvoLLM-JP-v1-10B) | 1 + 5 | 10B | **55.6** |
+| 5 | [EvoLLM-JP-v1-7B](https://huggingface.co/SakanaAI/EvoLLM-JP-v1-7B) | 1+2+3 | 7B | **52.0** |
+| 6 | [EvoLLM-JP-A-v1-7B](https://huggingface.co/SakanaAI/EvoLLM-JP-A-v1-7B) | 1+3+4 | 7B | **52.4** |
+| 7 | [EvoLLM-JP-v1-10B](https://huggingface.co/SakanaAI/EvoLLM-JP-v1-10B) | 1 + 5 | 10B | **55.6** |
+
+## Acknowledgement
+
+We would like to thank the developers of the source models for their contributions and for making their work available. 
 
 
 ## Citation