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---
base_model:
- CultriX/SeQwence-14Bv1
- CultriX/Qwestion-14B
- CultriX/Qwen2.5-14B-Wernicke
library_name: transformers
tags:
- mergekit
- merge
license: apache-2.0
language:
- en
metrics:
- accuracy
pipeline_tag: text-generation
---
# final_model
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 [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [CultriX/SeQwence-14Bv1](https://huggingface.co/CultriX/SeQwence-14Bv1) as a base.
### Models Merged
The following models were included in the merge:
* [CultriX/Qwestion-14B](https://huggingface.co/CultriX/Qwestion-14B)
* [CultriX/Qwen2.5-14B-Wernicke](https://huggingface.co/CultriX/Qwen2.5-14B-Wernicke)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
base_model: CultriX/SeQwence-14Bv1
dtype: bfloat16
merge_method: dare_ties
parameters:
int8_mask: 1.0
normalize: 1.0
slices:
- sources:
- layer_range: [0, 48]
model: CultriX/SeQwence-14Bv1
parameters:
density: [0.9723868064882017, 1.0, 1.0, 1.0, 1.0, 0.9714039829478123]
weight: [0.303941801676895, 0.364404551023674, 0.315900913803921, 0.3276032249804535,
0.32167313684876814, 0.4385348686221433]
- layer_range: [0, 48]
model: CultriX/Qwestion-14B
parameters:
density: [1.0, 0.9914516102369406, 1.0, 0.8035966798672015, 0.8192028457518323,
0.9514479609471497]
weight: [0.23754044230348376, 0.26302919982461254, 0.26313082788173275, 0.17815237275761467,
0.34301750695974753, 0.5374787613924082]
- layer_range: [0, 48]
model: CultriX/Qwen2.5-14B-Wernicke
parameters:
density: [0.9250003667144193, 0.9603820599250329, 0.8766642760655986, 1.0, 0.9993615706551808,
0.7459506348277176]
weight: [0.48038202535582214, 0.5870170049221364, 0.27054455623315504, 0.06016442415521043,
0.4012739361231067, 0.26890177448533076]
```