File size: 1,466 Bytes
83e72ea 666f005 39341ed 83e72ea 5d1bb97 |
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 |
---
base_model:
- MTSAIR/multi_verse_model
- BarraHome/Mistroll-7B-v2.2
- yam-peleg/Experiment26-7B
library_name: transformers
tags:
- mergekit
- merge
---
# multitroll26
![image/webp](https://cdn-uploads.huggingface.co/production/uploads/643eab4f05a395e2b1c727e3/q6Gq3r1q5HWNnpClSeblh.webp)
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit). Experiment of merging top 3 7B models on the OpenLLm leaderboard (as of 5/30/2024)
## 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 [BarraHome/Mistroll-7B-v2.2](https://huggingface.co/BarraHome/Mistroll-7B-v2.2) as a base.
### Models Merged
The following models were included in the merge:
* [MTSAIR/multi_verse_model](https://huggingface.co/MTSAIR/multi_verse_model)
* [yam-peleg/Experiment26-7B](https://huggingface.co/yam-peleg/Experiment26-7B)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
models:
- model: BarraHome/Mistroll-7B-v2.2
# no parameters necessary for base model
- model: yam-peleg/Experiment26-7B
parameters:
weight: 0.4
density: 0.7
- model: MTSAIR/multi_verse_model
parameters:
weight: 0.6
density: 0.7
merge_method: dare_ties
base_model: BarraHome/Mistroll-7B-v2.2
parameters:
int8_mask: true
dtype: bfloat16
```
eval coming soon |