README.md

---
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

\\\```