Update README.md

README.md

@@ -16,7 +16,7 @@ tags:
 - merge
 
 ---
-# Joah-Llama-3-KoEn-8B-Coder-v1
+# 🎷 Joah-Llama-3-KoEn-8B-Coder-v1
 
 <a href="https://ibb.co/8XPkwP8"><img src="https://i.ibb.co/kMqZTqc/Joah.png" alt="Joah" border="0"></a><br />
 
@@ -24,14 +24,14 @@ tags:
 
 "좋아(Joah)" by AsianSoul
 
-Soon Multi Language Model Merge based on this. First German Start (Korean / English / German)
+Soon Multi Language Model Merge based on this. First German Start (Korean / English / German) 🌍
 
 Where to use Joah : Medical, Korean, English, Translation, Code, Science...
 
-## Merge Details
+## 🎡 Merge Details
 
 
-The performance of this merge model doesn't seem to be bad though.-> Just opinion
+The performance of this merge model doesn't seem to be bad though.-> Just opinion ^^ 🏟️
 
 This may not be a model that satisfies you. But if we continue to overcome our shortcomings, 
 
@@ -50,11 +50,11 @@ I have found that most of merge's model outside so far do not actually have 64k
 If you support me, i will try it on a computer with maximum specifications, also, i would like to conduct great tests by building a network with high-capacity traffic and high-speed 10G speeds for you.
 
 
-### Merge Method
+### 🧶 Merge Method
 
 This model was merged using the [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [NousResearch/Meta-Llama-3-8B](https://huggingface.co/NousResearch/Meta-Llama-3-8B) as a base.
 
-### Models Merged
+### 📚 Models Merged
 
 The following models were included in the merge:
 * [beomi/Llama-3-KoEn-8B-Instruct-preview](https://huggingface.co/beomi/Llama-3-KoEn-8B-Instruct-preview)
@@ -67,7 +67,7 @@ The following models were included in the merge:
 * [asiansoul/Llama-3-Open-Ko-Linear-8B](https://huggingface.co/asiansoul/Llama-3-Open-Ko-Linear-8B)
 * [aaditya/Llama3-OpenBioLLM-8B](https://huggingface.co/aaditya/Llama3-OpenBioLLM-8B)
 
-### Configuration
+### 🍎 Configuration
 
 The following YAML configuration was used to produce this model: