final_model
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the DARE TIES merge method using CultriX/SeQwence-14Bv1 as a base.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
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]