metadata

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

Merge Details

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:

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