README.md

---
base_model: []
library_name: transformers
tags:
- mergekit
- merge
license: apache-2.0
---
# WizardLaker 7B

![image/png](https://cdn-uploads.huggingface.co/production/uploads/63cf23cffbd0cc580bc65c73/PM2o9ow7b8rHQZ2sM3xv1.png)

This is a merge of the new WizardLM 2 7B model with my custom DolphinLake Model(https://huggingface.co/Noodlz/DolphinLake-7B). 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
```