File size: 1,624 Bytes
a92a862 6d409bc c498718 d9ddc75 6d409bc a92a862 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 |
---
base_model:
- meta-llama/Meta-Llama-3-8B-Instruct
- failspy/Llama-3-8B-Instruct-MopeyMule
- nerdigent/L3.1-BlueSkyy-8B
library_name: transformers
tags:
- mergekit
- merge
---
Just an experiment using the same merge recipe as [grimjim/Llama-3-Perky-Pat-Instruct-8B](https://huggingface.co/grimjim/Llama-3-Perky-Pat-Instruct-8B)
This version uses the original Llama 3 8b as a base model. I also tried this merge with 3.1 as a base, but after some quick tests I prefer this one.
# 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 [task arithmetic](https://arxiv.org/abs/2212.04089) merge method using [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) as a base.
### Models Merged
The following models were included in the merge:
* [failspy/Llama-3-8B-Instruct-MopeyMule](https://huggingface.co/failspy/Llama-3-8B-Instruct-MopeyMule)
* [nerdigent/L3.1-BlueSkyy-8B](https://huggingface.co/nerdigent/L3.1-BlueSkyy-8B)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
base_model: meta-llama/Meta-Llama-3-8B-Instruct
dtype: bfloat16
merge_method: task_arithmetic
parameters:
normalize: false
slices:
- sources:
- layer_range: [0, 32]
model: meta-llama/Meta-Llama-3-8B-Instruct
- layer_range: [0, 32]
model: nerdigent/L3.1-BlueSkyy-8B
parameters:
weight: 1.0
- layer_range: [0, 32]
model: failspy/Llama-3-8B-Instruct-MopeyMule
parameters:
weight: -1.0
```
|