---
base_model:
- NousResearch/Hermes-2-Pro-Llama-3-8B
- cognitivecomputations/dolphin-2.9-llama3-8b
- NousResearch/Meta-Llama-3-8B
- winglian/llama-3-8b-256k-PoSE
- maum-ai/Llama-3-MAAL-8B-Instruct-v0.1
- asiansoul/Llama-3-Open-Ko-Linear-8B
- NousResearch/Meta-Llama-3-8B-Instruct
- nvidia/Llama3-ChatQA-1.5-8B
- Danielbrdz/Barcenas-Llama3-8b-ORPO
- aaditya/Llama3-OpenBioLLM-8B
library_name: transformers
tags:
- mergekit
- merge
- llama

---
# YACHT-Llama-3-Ko-8B

[![DALL-E Yacht](https://i.ibb.co/hHr5xnh/DALL-E-2024-05-05-11-57-02-A-futuristic-yacht-boat-on-a-calm-ocean-at-dawn-featuring-sleek-curves-an.png)](https://ibb.co/92BXmfz)

🎵   *[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* ✨

## 🏟️ Merged Model Series Yacht Features

Welcome to the merged model series yacht! This provides an overview of the powerful features and functionalities that this series brings together, akin to a sleek, modern yacht sailing across the digital ocean.

### 1. Function Calling & JSON Outputs
- Offers precise function calling and structured JSON outputs via specialized tokens like `<tools>`, `<tool_call>`, and `<tool_response>`. Streamlines system communication for developers.

### 2. Conversational Interaction
- Avoids excessive "SYSTEM MESSAGE" chatter while delivering seamless, friendly dialogue.
- Specializes in answering questions with precision, handling arithmetic and tabular data effortlessly.

### 3. Expanded Context Length
- Extends the context length to 256k tokens using PoSE, offering a broader field of data analysis.

### 4. Multilingual Capabilities
- Transfers instruction-following from English to Korean for reliable interaction across languages.

### 5. Optimized Dialogue & Safety
- Aligns with human preferences using fine-tuning (SFT) and reinforcement learning (RLHF), ensuring helpful and safe dialogues.

### 6. Precision Merging
- Merges foundational and preview models for Korean language through task arithmetic, providing seamless integration.

### 7. Specialized Biomedical Knowledge
- Specializes in biomedical tasks with accurate responses for healthcare professionals and researchers.

### 8. Novel Training & Collaboration
- Combines [ORPO method](https://arxiv.org/pdf/2403.07691) and dolphin preference datasets for high-quality conversation and collaboration.

The merged model series yacht offers unparalleled functionality, drawing together a fleet of specialized models. Whether you need precise function calling, multilingual capabilities, or conversational AI, this yacht has every deck optimized to navigate the digital ocean with style and precision.

## 👘 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:
* [NousResearch/Hermes-2-Pro-Llama-3-8B](https://huggingface.co/NousResearch/Hermes-2-Pro-Llama-3-8B)
* [cognitivecomputations/dolphin-2.9-llama3-8b](https://huggingface.co/cognitivecomputations/dolphin-2.9-llama3-8b)
* [winglian/llama-3-8b-256k-PoSE](https://huggingface.co/winglian/llama-3-8b-256k-PoSE)
* [maum-ai/Llama-3-MAAL-8B-Instruct-v0.1](https://huggingface.co/maum-ai/Llama-3-MAAL-8B-Instruct-v0.1)
* [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)
* [nvidia/Llama3-ChatQA-1.5-8B](https://huggingface.co/nvidia/Llama3-ChatQA-1.5-8B)
* [Danielbrdz/Barcenas-Llama3-8b-ORPO](https://huggingface.co/Danielbrdz/Barcenas-Llama3-8b-ORPO)
* [aaditya/Llama3-OpenBioLLM-8B](https://huggingface.co/aaditya/Llama3-OpenBioLLM-8B)

## 🪭 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: winglian/llama-3-8b-256k-PoSE
    parameters:
      density: 0.55  
      weight: 0.15  
  
  - model: nvidia/Llama3-ChatQA-1.5-8B
    parameters:
      density: 0.55  
      weight: 0.1
  
  - model: asiansoul/Llama-3-Open-Ko-Linear-8B
    parameters:
      density: 0.55  
      weight: 0.2  

  - model: maum-ai/Llama-3-MAAL-8B-Instruct-v0.1
    parameters:
      density: 0.55  
      weight: 0.1 

  - model: NousResearch/Hermes-2-Pro-Llama-3-8B
    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: 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


```