YACHT-Llama-3-Ko-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 ✨

🏟️ 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 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 TIES merge method using 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
• cognitivecomputations/dolphin-2.9-llama3-8b
• 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

🪭 Configuration

The following YAML configuration was used to produce this model:

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