File size: 1,750 Bytes
9a8d58a |
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 56 57 58 59 60 61 62 63 64 |
---
base_model:
- David-Xu/Mistral-7B-Instruct-v0.2
- ajibawa-2023/Code-Mistral-7B
- OpenBuddy/openbuddy-mistral-7b-v13.1
- NousResearch/Yarn-Mistral-7b-128k
- meta-math/MetaMath-Mistral-7B
library_name: transformers
tags:
- mergekit
- merge
---
# 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 [TIES](https://arxiv.org/abs/2306.01708) merge method using [David-Xu/Mistral-7B-Instruct-v0.2](https://huggingface.co/David-Xu/Mistral-7B-Instruct-v0.2) as a base.
### Models Merged
The following models were included in the merge:
* [ajibawa-2023/Code-Mistral-7B](https://huggingface.co/ajibawa-2023/Code-Mistral-7B)
* [OpenBuddy/openbuddy-mistral-7b-v13.1](https://huggingface.co/OpenBuddy/openbuddy-mistral-7b-v13.1)
* [NousResearch/Yarn-Mistral-7b-128k](https://huggingface.co/NousResearch/Yarn-Mistral-7b-128k)
* [meta-math/MetaMath-Mistral-7B](https://huggingface.co/meta-math/MetaMath-Mistral-7B)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
models:
- model: David-Xu/Mistral-7B-Instruct-v0.2
#no parameters necessary for base model
- model: OpenBuddy/openbuddy-mistral-7b-v13.1
parameters:
density: 0.5
weight: 0.5
- model: NousResearch/Yarn-Mistral-7b-128k
parameters:
density: 0.5
weight: 0.5
- model: ajibawa-2023/Code-Mistral-7B
parameters:
density: 0.5
weight: 0.5
- model: meta-math/MetaMath-Mistral-7B
parameters:
density: 0.5
weight: 0.5
merge_method: ties
base_model: David-Xu/Mistral-7B-Instruct-v0.2
parameters:
normalize: true
int8_mask: true
dtype: bfloat16
```
|