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---
base_model:
- automerger/YamshadowExperiment28-7B
- fearlessdots/WizardLM-2-7B-abliterated
library_name: transformers
tags:
- mergekit
- merge
- mistral
---
### YamWizard28-7B
idk
# Thanks mradermacher for the quants!
* [GGUF](https://huggingface.co/mradermacher/YamWizard28-7B-GGUF)
* [GGUF imatrix](https://huggingface.co/mradermacher/YamWizard28-7B-i1-GGUF)
# Quants
* [Q8_0 GGUF](https://huggingface.co/v000000/YamWizard28-7B-Q8_0-GGUF)
# 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}
```
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