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---
base_model: []
library_name: transformers
tags:
- mergekit
- merge
license: apache-2.0
---
# WizardLaker 7B
This is a merge of the new WizardLM 2 7B model with my custom DolphinLake Model. Seems to perform well. will be submitting for evals on openLLM leaderboards.
Created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using amazingvince/Not-WizardLM-2-7B as a base.
### Models Merged
The following models were included in the merge:
* /Noodlz/DolphinLake-7B
### Configuration
The following YAML configuration was used to produce this model:
```yaml
merge_method: dare_ties
parameters:
int8_mask: true
t:
- filter: self_attn
value: [0, 0.5, 0.3, 0.7, 1]
- filter: mlp
value: [1, 0.5, 0.7, 0.3, 0]
- value: 0.5 # fallback for rest of tensors
embed_slerp: true
models:
- model: amazingvince/Not-WizardLM-2-7B
# No parameters necessary for base model
- model: /Noodlz/DolphinLake-7B
parameters:
density: 0.58
weight: 0.4
base_model: amazingvince/Not-WizardLM-2-7B
tokenizer_source: model:amazingvince/Not-WizardLM-2-7B
dtype: bfloat16
``` |