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---
base_model: []
tags:
- mergekit
- merge
---
# Sloppy-Wingman-8x7B-hf
Big slop, good model.
Running better at slightly higher temp (1.1-ish) than usual, along with 0.05 MinP and 0.28 snoot.
Bog-standard ChatML works best imo, but Alpaca and Mixtral formats work (to some degree) too.
Parts:
```yaml
models:
- model: mistralai/Mixtral-8x7B-v0.1+retrieval-bar/Mixtral-8x7B-v0.1_case-briefs
parameters:
weight: 0.33
- model: mistralai/Mixtral-8x7B-v0.1+wandb/Mixtral-8x7b-Remixtral
parameters:
weight: 0.33
merge_method: task_arithmetic
base_model: mistralai/Mixtral-8x7B-v0.1
dtype: float16
```
and
```yaml
models:
- model: mistralai/Mixtral-8x7B-Instruct-v0.1+/ai/LLM/tmp/pefts/daybreak-peft/mixtral-8x7b
parameters:
weight: 0.85
- model: notstoic/Nous-Hermes-2-Mixtruct-v0.1-8x7B-DPO-DARE_TIES
parameters:
weight: 0.25
- model: ycros/BagelWorldTour-8x7B
parameters:
weight: 0.1
merge_method: task_arithmetic
base_model: mistralai/Mixtral-8x7B-Instruct-v0.1
dtype: float16
```
SLERP:ed together as per below.
---
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:
* ./02-friend2-instruct
* ./01-friend2-base
### Configuration
The following YAML configuration was used to produce this model:
```yaml
models:
- model: ./01-friend2-base
- model: ./02-friend2-instruct
merge_method: slerp
base_model: ./01-friend2-base
parameters:
t:
- value: 0.5
dtype: float16
```
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