---
base_model:
- beomi/Llama-3-KoEn-8B-Instruct-preview
- saltlux/Ko-Llama3-Luxia-8B
- cognitivecomputations/dolphin-2.9-llama3-8b
- NousResearch/Meta-Llama-3-8B
- nvidia/Llama3-ChatQA-1.5-8B
- aaditya/Llama3-OpenBioLLM-8B
- Danielbrdz/Barcenas-Llama3-8b-ORPO
- beomi/Llama-3-KoEn-8B-preview
- abacusai/Llama-3-Smaug-8B
- NousResearch/Meta-Llama-3-8B-Instruct
library_name: transformers
tags:
- mergekit
- merge
- llama
---
# YACHT-Llama-3-KoEn-8B
🎵 *[JayLee LLMs Signature Tag] : ✍️ "I need a Jay Jay chat boy"* 🎵
✨ *Navigating the High Seas of Data: Crafting the Ultimate Yacht Insights with Merged LLMs* ✨
✨ *Aren’t you sometimes tired of just doing LLM & RAG & Normal Chat app? I'll show you a cool app soon integrating this my merged one(Tuned car). It wouldn't be fun if we only developed cars, so life is ultimately about driving cars and socializing with people.* ✨
🧨 *When using the Merge model for commercial purposes, a lot of care is needed. A mix of many models can be good, but it can also pose many risks.* 🧨
Thank you for visiting my page today!
Your donation makes me feel more free in Dev life. Instead, I will provide you with fun and useful software!!!
I haven't even released 0.001% of the software to you yet!!!
"Donation(ETH/USDT) : 0x8BB117dD4Cc0E19E5536ab211070c0dE039a85c0"
Can you borrow your computer power to merge heavy xtuner with my one cuz my com memory said that he is sick -> DM me!! (code ready)
```
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(.venv) jaylee@lees-MacBook-Pro-2 merge % /opt/homebrew/Cellar/python@3.12/3.12.3/Frameworks/Python.framework/Versions/3.12/lib/python3.12/multiprocessing/resource_tracker.py:254: UserWarning: resource_tracker: There appear to be 1 leaked semaphore objects to clean up at shutdown
warnings.warn('resource_tracker: There appear to be %d '
```
### 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:
* [beomi/Llama-3-KoEn-8B-Instruct-preview](https://huggingface.co/beomi/Llama-3-KoEn-8B-Instruct-preview)
* [saltlux/Ko-Llama3-Luxia-8B](https://huggingface.co/saltlux/Ko-Llama3-Luxia-8B)
* [cognitivecomputations/dolphin-2.9-llama3-8b](https://huggingface.co/cognitivecomputations/dolphin-2.9-llama3-8b)
* [nvidia/Llama3-ChatQA-1.5-8B](https://huggingface.co/nvidia/Llama3-ChatQA-1.5-8B)
* [aaditya/Llama3-OpenBioLLM-8B](https://huggingface.co/aaditya/Llama3-OpenBioLLM-8B)
* [Danielbrdz/Barcenas-Llama3-8b-ORPO](https://huggingface.co/Danielbrdz/Barcenas-Llama3-8b-ORPO)
* [beomi/Llama-3-KoEn-8B-preview](https://huggingface.co/beomi/Llama-3-KoEn-8B-preview)
* [abacusai/Llama-3-Smaug-8B](https://huggingface.co/abacusai/Llama-3-Smaug-8B)
* [NousResearch/Meta-Llama-3-8B-Instruct](https://huggingface.co/NousResearch/Meta-Llama-3-8B-Instruct)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
models:
- model: NousResearch/Meta-Llama-3-8B
- model: NousResearch/Meta-Llama-3-8B-Instruct
parameters:
density: 0.60
weight: 0.25
- model: beomi/Llama-3-KoEn-8B-preview
parameters:
density: 0.55
weight: 0.2
- model: saltlux/Ko-Llama3-Luxia-8B
parameters:
density: 0.55
weight: 0.15
- model: beomi/Llama-3-KoEn-8B-Instruct-preview
parameters:
density: 0.55
weight: 0.15
- model: nvidia/Llama3-ChatQA-1.5-8B
parameters:
density: 0.55
weight: 0.1
- model: cognitivecomputations/dolphin-2.9-llama3-8b
parameters:
density: 0.55
weight: 0.05
- model: Danielbrdz/Barcenas-Llama3-8b-ORPO
parameters:
density: 0.55
weight: 0.05
- model: abacusai/Llama-3-Smaug-8B
parameters:
density: 0.55
weight: 0.05
- model: aaditya/Llama3-OpenBioLLM-8B
parameters:
density: 0.55
weight: 0.1
merge_method: dare_ties
base_model: NousResearch/Meta-Llama-3-8B
parameters:
int8_mask: true
dtype: bfloat16
```
### Test
