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README.md
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---
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base_model:
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- beomi/Llama-3-KoEn-8B-Instruct-preview
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- Danielbrdz/Barcenas-Llama3-8b-ORPO
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- maum-ai/Llama-3-MAAL-8B-Instruct-v0.1
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- rombodawg/Llama-3-8B-Instruct-Coder
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- NousResearch/Meta-Llama-3-8B-Instruct
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- rombodawg/Llama-3-8B-Base-Coder-v3.5-10k
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- cognitivecomputations/dolphin-2.9-llama3-8b
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- asiansoul/Llama-3-Open-Ko-Linear-8B
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- NousResearch/Meta-Llama-3-8B
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- aaditya/Llama3-OpenBioLLM-8B
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library_name: transformers
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tags:
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- mergekit
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- merge
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---
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# Joah-Llama-3-KoEn-8B-Coder-v1
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์ค๋ ๋ถํฐ ์๋ก์๊ฒ ๋น์ด ๋์ด ์ค ์ฌ๋ฌ๋ถ์ Merge Model
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"์ข์(Joah)" by AsianSoul
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## Merge Details
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The performance of this merge model doesn't seem to be bad though.-> Just opinion
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This may not be a model that satisfies you. But if we continue to overcome our shortcomings,
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Won't we someday find the answer we want?
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### Merge Method
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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.
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### Models Merged
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The following models were included in the merge:
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* [beomi/Llama-3-KoEn-8B-Instruct-preview](https://huggingface.co/beomi/Llama-3-KoEn-8B-Instruct-preview)
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* [Danielbrdz/Barcenas-Llama3-8b-ORPO](https://huggingface.co/Danielbrdz/Barcenas-Llama3-8b-ORPO)
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* [maum-ai/Llama-3-MAAL-8B-Instruct-v0.1](https://huggingface.co/maum-ai/Llama-3-MAAL-8B-Instruct-v0.1)
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* [rombodawg/Llama-3-8B-Instruct-Coder](https://huggingface.co/rombodawg/Llama-3-8B-Instruct-Coder)
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* [NousResearch/Meta-Llama-3-8B-Instruct](https://huggingface.co/NousResearch/Meta-Llama-3-8B-Instruct)
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* [rombodawg/Llama-3-8B-Base-Coder-v3.5-10k](https://huggingface.co/rombodawg/Llama-3-8B-Base-Coder-v3.5-10k)
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* [cognitivecomputations/dolphin-2.9-llama3-8b](https://huggingface.co/cognitivecomputations/dolphin-2.9-llama3-8b)
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* [asiansoul/Llama-3-Open-Ko-Linear-8B](https://huggingface.co/asiansoul/Llama-3-Open-Ko-Linear-8B)
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* [aaditya/Llama3-OpenBioLLM-8B](https://huggingface.co/aaditya/Llama3-OpenBioLLM-8B)
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### Configuration
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The following YAML configuration was used to produce this model:
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```yaml
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models:
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- model: NousResearch/Meta-Llama-3-8B
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# Base model providing a general foundation without specific parameters
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- model: NousResearch/Meta-Llama-3-8B-Instruct
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parameters:
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density: 0.60
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weight: 0.25
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- model: beomi/Llama-3-KoEn-8B-Instruct-preview
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parameters:
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density: 0.55
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weight: 0.15
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- model: asiansoul/Llama-3-Open-Ko-Linear-8B
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parameters:
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density: 0.55
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weight: 0.2
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- model: maum-ai/Llama-3-MAAL-8B-Instruct-v0.1
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parameters:
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density: 0.55
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weight: 0.1
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- model: rombodawg/Llama-3-8B-Instruct-Coder
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parameters:
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density: 0.55
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weight: 0.1
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- model: rombodawg/Llama-3-8B-Base-Coder-v3.5-10k
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parameters:
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density: 0.55
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weight: 0.1
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- model: cognitivecomputations/dolphin-2.9-llama3-8b
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parameters:
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density: 0.55
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weight: 0.05
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- model: Danielbrdz/Barcenas-Llama3-8b-ORPO
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parameters:
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density: 0.55
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weight: 0.05
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- model: aaditya/Llama3-OpenBioLLM-8B
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parameters:
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density: 0.55
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weight: 0.1
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merge_method: dare_ties
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base_model: NousResearch/Meta-Llama-3-8B
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parameters:
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int8_mask: true
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dtype: bfloat16
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```
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