Update README.md

README.md

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----
-license: other
-license_name: other
-license_link: LICENSE
----
+---
+base_model:
+- maum-ai/Llama-3-MAAL-8B-Instruct-v0.1
+- beomi/Llama-3-KoEn-8B-Instruct-preview
+- asiansoul/Llama-3-Open-Ko-Linear-8B
+- NousResearch/Meta-Llama-3-8B
+- NousResearch/Meta-Llama-3-8B-Instruct
+- ajibawa-2023/Code-Llama-3-8B
+- defog/llama-3-sqlcoder-8b
+- NousResearch/Hermes-2-Pro-Llama-3-8B
+- Locutusque/llama-3-neural-chat-v2.2-8B
+- asiansoul/Joah-Llama-3-KoEn-8B-Coder-v1
+library_name: transformers
+tags:
+- mergekit
+- merge
+
+---
+# Joah-Llama-3-KoEn-8B-Coder-v2
+
+<a href="https://ibb.co/2Srsmn7"><img src="https://i.ibb.co/f9WnB1Y/Screenshot-2024-05-11-at-7-15-42-PM.png" alt="Screenshot-2024-05-11-at-7-15-42-PM" border="0"></a>
+
+오늘 부터 서로에게 빛이 되어 줄 여러분의 Merge Model
+
+"좋아(Joah)" by AsianSoul
+
+Soon Multi Language Model Merge based on this. First German Start (Korean / English / German) 🌍
+
+Where to use Joah : Medical, Korean, English, Translation, Code, Science... 🎥 
+
+Strengthened SQL code & Other Sci compared to V1
+
+## 🎡 Merge Details
+
+
+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, 
+
+Won't we someday find the answer we want?
+
+Don't worry even if you don't get the results you want. 
+
+I'll find the answer for you.
+
+Soon real PoSE to extend Llama's context length to 64k with using my merge method : [reborn](https://medium.com/@puffanddmx82/reborn-elevating-model-adaptation-with-merging-for-superior-nlp-performance-f604e8e307b2)
+
+I have found that most of merge's model outside so far do not actually have 64k in their configs. I will improve it in the next merge with my reborn. If that doesn't work, I guess I'll have to find another way, right?
+
+256k is not possible. My computer is running out of memory. 
+
+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
+
+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
+
+The following models were included in the merge:
+* [maum-ai/Llama-3-MAAL-8B-Instruct-v0.1](https://huggingface.co/maum-ai/Llama-3-MAAL-8B-Instruct-v0.1)
+* [beomi/Llama-3-KoEn-8B-Instruct-preview](https://huggingface.co/beomi/Llama-3-KoEn-8B-Instruct-preview)
+* [asiansoul/Llama-3-Open-Ko-Linear-8B](https://huggingface.co/asiansoul/Llama-3-Open-Ko-Linear-8B)
+* [NousResearch/Meta-Llama-3-8B-Instruct](https://huggingface.co/NousResearch/Meta-Llama-3-8B-Instruct)
+* [ajibawa-2023/Code-Llama-3-8B](https://huggingface.co/ajibawa-2023/Code-Llama-3-8B)
+* [defog/llama-3-sqlcoder-8b](https://huggingface.co/defog/llama-3-sqlcoder-8b)
+* [NousResearch/Hermes-2-Pro-Llama-3-8B](https://huggingface.co/NousResearch/Hermes-2-Pro-Llama-3-8B)
+* [Locutusque/llama-3-neural-chat-v2.2-8B](https://huggingface.co/Locutusque/llama-3-neural-chat-v2.2-8B)
+* [asiansoul/Joah-Llama-3-KoEn-8B-Coder-v1](https://huggingface.co/asiansoul/Joah-Llama-3-KoEn-8B-Coder-v1)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+models:
+  - model: NousResearch/Meta-Llama-3-8B
+    # Base model providing a general foundation without specific parameters
+
+  - model: NousResearch/Meta-Llama-3-8B-Instruct
+    parameters:
+      density: 0.60  
+      weight: 0.25  
+  
+  - model: beomi/Llama-3-KoEn-8B-Instruct-preview
+    parameters:
+      density: 0.55  
+      weight: 0.15  
+  
+  - model: asiansoul/Llama-3-Open-Ko-Linear-8B
+    parameters:
+      density: 0.55  
+      weight: 0.1  
+
+  - model: maum-ai/Llama-3-MAAL-8B-Instruct-v0.1
+    parameters:
+      density: 0.55  
+      weight: 0.1 
+
+  - model: asiansoul/Joah-Llama-3-KoEn-8B-Coder-v1
+    parameters:
+      density: 0.55  
+      weight: 0.2
+      
+  - model: ajibawa-2023/Code-Llama-3-8B
+    parameters:
+      density: 0.55  
+      weight: 0.05  
+
+  - model: defog/llama-3-sqlcoder-8b
+    parameters:
+      density: 0.55  
+      weight: 0.1  
+
+  - model: Locutusque/llama-3-neural-chat-v2.2-8B
+    parameters:
+      density: 0.55  
+      weight: 0.1 
+
+  - model: NousResearch/Hermes-2-Pro-Llama-3-8B
+    parameters:
+      density: 0.55  
+      weight: 0.05 
+
+merge_method: dare_ties
+base_model: NousResearch/Meta-Llama-3-8B
+parameters:
+  int8_mask: true
+dtype: bfloat16
+
+
+```