---
license: apache-2.0
tags:
- merge
- mergekit
- lazymergekit
- NousResearch/Meta-Llama-3.1-8B-Instruct
- EpistemeAI/Fireball-Alpaca-Llama3.1.07-8B-Philos-Math-KTO-beta
- nvidia/OpenMath2-Llama3.1-8B
---

# Llama-3.1-8B-Squareroot

Llama-3.1-8B-Squareroot is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
* [NousResearch/Meta-Llama-3.1-8B-Instruct](https://huggingface.co/NousResearch/Meta-Llama-3.1-8B-Instruct)
* [EpistemeAI/Fireball-Alpaca-Llama3.1.07-8B-Philos-Math-KTO-beta](https://huggingface.co/EpistemeAI/Fireball-Alpaca-Llama3.1.07-8B-Philos-Math-KTO-beta)
* [nvidia/OpenMath2-Llama3.1-8B](https://huggingface.co/nvidia/OpenMath2-Llama3.1-8B)

## 🧩 Configuration

```yaml
models:
  - model: NousResearch/Meta-Llama-3.1-8B-Instruct  # instruct model
    parameters:
      density: [1, 0.8, 0.5]
      weight: 1.0
  - model: EpistemeAI/Fireball-Alpaca-Llama3.1.07-8B-Philos-Math-KTO-beta  # Reasoning/Logic model
    parameters:
      density: [0.9, 0.6, 0.4]
      weight: [0.3, 0.6, 0.9]
  - model: nvidia/OpenMath2-Llama3.1-8B # Math model
    parameters:
      density: 0.7
      weight:
        - filter: mlp
          value: 0.7
        - value: 0.3
merge_method: ties
base_model: vicgalle/Configurable-Llama-3.1-8B-Instruct  # General base model
parameters:
  normalize: true
dtype: float16
```