---
base_model:
- TareksLab/MO-MODEL3-V0.2-LLaMa-70B
- TareksLab/MO-MODEL5-V0.3-LLaMa-70B
- TareksLab/MO-MODEL2-V0.2-LLaMa-70B
- TareksLab/MO-MODEL1-V1-LLaMa-70B
- TareksLab/MO-MODEL6-V0.1-LLaMa-70B
- TareksLab/MO-MODEL4-V0.1-LLaMa-70B
library_name: transformers
tags:
- mergekit
- merge
license: llama3.3
---

![image/png](https://cdn-uploads.huggingface.co/production/uploads/64909c086073a0cd172d0411/F4995uJzGKmh0Xswtx2W9.png)

Formerly known as MO-MODEL-Fused-V0.6-LLaMa-70B, This model is part of my ongoing experiments with merging specialized curated models. For this one, I started experimenting with gradients, to give myself more finetuned control of how the models influence the final merge.

Recommended sampler settings:
```
Temp 1.0
Min P 0.02
```
Because of the nature of this sort of 'Hyper Multi Model Merge', my recommendation is not to run this on anything lower than a Q5 quant.

If you enjoy my work, please consider supporting me, It helps me make more models like this!
[Support on KO-FI <3](https://ko-fi.com/tarek07)

# MERGE2

This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).

## Merge Details
### Merge Method

This model was merged using the [DARE TIES](https://arxiv.org/abs/2311.03099) merge method using [TareksLab/MO-MODEL6-V0.1-LLaMa-70B](https://huggingface.co/TareksLab/MO-MODEL6-V0.1-LLaMa-70B) as a base.

### Models Merged

The following models were included in the merge:
* [TareksLab/MO-MODEL3-V0.2-LLaMa-70B](https://huggingface.co/TareksLab/MO-MODEL3-V0.2-LLaMa-70B)
* [TareksLab/MO-MODEL5-V0.3-LLaMa-70B](https://huggingface.co/TareksLab/MO-MODEL5-V0.3-LLaMa-70B)
* [TareksLab/MO-MODEL2-V0.2-LLaMa-70B](https://huggingface.co/TareksLab/MO-MODEL2-V0.2-LLaMa-70B)
* [TareksLab/MO-MODEL1-V1-LLaMa-70B](https://huggingface.co/TareksLab/MO-MODEL1-V1-LLaMa-70B)
* [TareksLab/MO-MODEL4-V0.1-LLaMa-70B](https://huggingface.co/TareksLab/MO-MODEL4-V0.1-LLaMa-70B)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: TareksLab/MO-MODEL6-V0.1-LLaMa-70B
    parameters:
      weight: [0.1, 0.1, 0.1, 0.2, 0.5]
      density: 0.5
  - model: TareksLab/MO-MODEL4-V0.1-LLaMa-70B
    parameters:
      weight: [0.1, 0.1, 0.2, 0.4, 0.2]
      density: 0.5
  - model: TareksLab/MO-MODEL5-V0.3-LLaMa-70B
    parameters:
      weight: [0.1, 0.2, 0.4, 0.2, 0.1]
      density: 0.5
  - model: TareksLab/MO-MODEL3-V0.2-LLaMa-70B
    parameters:
      weight: [0.2, 0.4, 0.2, 0.1, 0.1]
      density: 0.5
  - model: TareksLab/MO-MODEL2-V0.2-LLaMa-70B
    parameters:
      weight: [0.5, 0.2, 0.1, 0.1, 0.1]
      density: 0.5
  - model: TareksLab/MO-MODEL1-V1-LLaMa-70B
    parameters:
      weight: 0.10
      density: 0.5
merge_method: dare_ties
base_model: TareksLab/MO-MODEL6-V0.1-LLaMa-70B
parameters:
  normalize: false
  int8_mask: true
dtype: float32
out_dtype: bfloat16
chat_template: llama3
tokenizer:
 source: base

```