README.md

metadata

license: apache-2.0
tags:
  - merge
  - mergekit
  - samir-fama/SamirGPT-v1
  - mlabonne/NeuralHermes-2.5-Mistral-7B
  - KoboldAI/Mistral-7B-Erebus-v3

ErebusNeuralSamir-7B-dare-ties

ErebusNeuralSamir-7B-dare-ties is a merge of the following models using mergekit:

• samir-fama/SamirGPT-v1
• mlabonne/NeuralHermes-2.5-Mistral-7B
• KoboldAI/Mistral-7B-Erebus-v3

🧩 Configuration

\```yaml models:

• model: mistralai/Mistral-7B-v0.1

  No parameters necessary for base model

• model: samir-fama/SamirGPT-v1 parameters: density: 0.53 weight: 0.3
• model: mlabonne/NeuralHermes-2.5-Mistral-7B parameters: density: 0.53 weight: 0.3
• model: KoboldAI/Mistral-7B-Erebus-v3 parameters: density: 0.53 weight: 0.4 merge_method: dare_ties base_model: mistralai/Mistral-7B-v0.1 parameters: int8_mask: true dtype: bfloat16

\```