asiansoul/Versatile-Llama-3-8B-1m

Versatile-Llama-3-8B

Not test this model, just based on brainstorming, release this.

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:

• nayohan/llama3-8b-it-translation-general-en-ko-1sent
• MaziyarPanahi/Llama-3-8B-Instruct-DPO-v0.3
• cognitivecomputations/dolphin-2.9-llama3-8b
• NousResearch/Hermes-2-Pro-Llama-3-8B
• winglian/llama-3-8b-1m-PoSE
• asiansoul/Llama-3-Open-Ko-Linear-8B
• Danielbrdz/Barcenas-Llama3-8b-ORPO
• NousResearch/Meta-Llama-3-8B-Instruct

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-1m-PoSE
    parameters:
      density: 0.55  
      weight: 0.15  

  - model: MaziyarPanahi/Llama-3-8B-Instruct-DPO-v0.3
    parameters:
      density: 0.55  
      weight: 0.15  

  - model: asiansoul/Llama-3-Open-Ko-Linear-8B
    parameters:
      density: 0.55  
      weight: 0.2  

  - model: nayohan/llama3-8b-it-translation-general-en-ko-1sent
    parameters:
      density: 0.55  
      weight: 0.1  

  - model: cognitivecomputations/dolphin-2.9-llama3-8b
    parameters:
      density: 0.55  
      weight: 0.1  

  - model: Danielbrdz/Barcenas-Llama3-8b-ORPO
    parameters:
      density: 0.55  
      weight: 0.05 

  - model: NousResearch/Hermes-2-Pro-Llama-3-8B
    parameters:
      density: 0.55  
      weight: 0.1  

merge_method: dare_ties
base_model: NousResearch/Meta-Llama-3-8B
parameters:
  int8_mask: true
dtype: bfloat16