---
base_model:
- jeffmeloy/Qwen2.5-7B-olm-v1.0
- Goekdeniz-Guelmez/Josiefied-Qwen2.5-7B-Instruct-abliterated-v2
- Aashraf995/Qwen-Evo-7B
- fblgit/cybertron-v4-qw7B-UNAMGS
- Qwen/Qwen2.5-7B-Instruct
- nvidia/AceMath-7B-Instruct
- jeffmeloy/Qwen2.5-7B-nerd-uncensored-v1.5
library_name: transformers
tags:
- mergekit
- merge

---
# merge

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 [SCE](https://arxiv.org/abs/2408.07990) merge method using [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct) as a base.

### Models Merged

The following models were included in the merge:
* [jeffmeloy/Qwen2.5-7B-olm-v1.0](https://huggingface.co/jeffmeloy/Qwen2.5-7B-olm-v1.0)
* [Goekdeniz-Guelmez/Josiefied-Qwen2.5-7B-Instruct-abliterated-v2](https://huggingface.co/Goekdeniz-Guelmez/Josiefied-Qwen2.5-7B-Instruct-abliterated-v2)
* [Aashraf995/Qwen-Evo-7B](https://huggingface.co/Aashraf995/Qwen-Evo-7B)
* [fblgit/cybertron-v4-qw7B-UNAMGS](https://huggingface.co/fblgit/cybertron-v4-qw7B-UNAMGS)
* [nvidia/AceMath-7B-Instruct](https://huggingface.co/nvidia/AceMath-7B-Instruct)
* [jeffmeloy/Qwen2.5-7B-nerd-uncensored-v1.5](https://huggingface.co/jeffmeloy/Qwen2.5-7B-nerd-uncensored-v1.5)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: Goekdeniz-Guelmez/Josiefied-Qwen2.5-7B-Instruct-abliterated-v2 # Best for Benchmark 1
    parameters:
      density: 0.167
      weight: 0.167
  - model: Aashraf995/Qwen-Evo-7B  # Best for Benchmark 2
    parameters:
      density: 0.167
      weight: 0.167
  - model: nvidia/AceMath-7B-Instruct # Best for Benchmark 3
    parameters:
      density: 0.167
      weight: 0.167
  - model: fblgit/cybertron-v4-qw7B-UNAMGS  # Best for Benchmark 4
    parameters:
      density: 0.167
      weight: 0.167
  - model: jeffmeloy/Qwen2.5-7B-nerd-uncensored-v1.5  # Best for Benchmark 5
    parameters:
      density: 0.167
      weight: 0.167
  - model: jeffmeloy/Qwen2.5-7B-olm-v1.0 # Best for Benchmark 6
    parameters:
      density: 0.167
      weight: 0.167

merge_method: sce
base_model: Qwen/Qwen2.5-7B-Instruct  # Replace if using a different base model
parameters:
  normalize: false
  int8_mask: true
  select_topk: 0.1  # Retains top 10% highest variance elements (adjust for better results)
dtype: bfloat16
allow_crimes: true

```