---
base_model: v000000/YamWizard28-7B-abliterated
library_name: transformers
tags:
- mergekit
- merge
- mistral
- llama-cpp
---

# v000000/YamWizard28-7B-Q8_0-GGUF
This model was converted to GGUF format from [`v000000/YamWizard28-7B`](https://huggingface.co/v000000/YamWizard28-7B) using llama.cpp
Refer to the [original model card](https://huggingface.co/v000000/YamWizard28-7B) for more details on the model.'

### YamWizard28-7B

idk

![image/png](https://cdn-uploads.huggingface.co/production/uploads/64f74b6e6389380c77562762/a2hoXGGGA-XJBjs-6O33-.png)

# 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 SLERP merge method.

### Models Merged

The following models were included in the merge:
* [automerger/YamshadowExperiment28-7B](https://huggingface.co/automerger/YamshadowExperiment28-7B)
* [fearlessdots/WizardLM-2-7B-abliterated](https://huggingface.co/fearlessdots/WizardLM-2-7B-abliterated)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
slices:
  - sources:
      - model: fearlessdots/WizardLM-2-7B-abliterated
        layer_range: [0, 32]
      - model: automerger/YamshadowExperiment28-7B
        layer_range: [0, 32]
merge_method: slerp
base_model: fearlessdots/WizardLM-2-7B-abliterated
parameters:
  t:
    - filter: self_attn
      value: [0.1, 0.6, 0.3, 0.8, 0.5]
    - filter: mlp
      value: [0.9, 0.4, 0.7, 0.2, 0.5]
    - value: 0.5
dtype: bfloat16

```

### Prompt Format (Alpaca):
```bash
Below is an instruction that describes a task. Write a response that appropriately completes the request.

### Instruction:
{system}

### Instruction:
{prompt}
### Response:
{output}
```