README.md

metadata

license: apache-2.0
tags:
  - merge
  - samir-fama/SamirGPT-v1
  - abacusai/Slerp-CM-mist-dpo
  - EmbeddedLLM/Mistral-7B-Merge-14-v0.2
  - Weyaxi/Einstein-v4-7B

mistral-7b-merged-dare-v2

mistral-7b-merged-dare-v2 is a merge of the following models:

• samir-fama/SamirGPT-v1
• abacusai/Slerp-CM-mist-dpo
• EmbeddedLLM/Mistral-7B-Merge-14-v0.2
• Weyaxi/Einstein-v4-7B

🧩 Configuration

models:
  - model: mistralai/Mistral-7B-v0.1
    # No parameters necessary for base model
  - model: samir-fama/SamirGPT-v1
    parameters:
      density: 0.53
      weight: 0.4
  - model: abacusai/Slerp-CM-mist-dpo
    parameters:
      density: 0.53
      weight: 0.3
  - model: EmbeddedLLM/Mistral-7B-Merge-14-v0.2
    parameters:
      density: 0.53
      weight: 0.3
  - model: Weyaxi/Einstein-v4-7B
    parameters:
      density: 0.53
      weight: 0.3            
merge_method: dare_ties
base_model: mistralai/Mistral-7B-v0.1
parameters:
  int8_mask: true
dtype: bfloat16