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, 8]
model: CultriX/SeQwence-14Bv1
parameters:
density: 1.0
weight: 0.34927958017496047
- layer_range: [0, 8]
model: CultriX/Qwestion-14B
parameters:
density: 1.0
weight: 0.4785529567298472
- layer_range: [0, 8]
model: CultriX/SeQwence-14Bv2
parameters:
density: 0.9095619834430182
weight: 0.08292400341270245
- sources:
- layer_range: [8, 16]
model: CultriX/SeQwence-14Bv1
parameters:
density: 1.0
weight: 0.31847489577754107
- layer_range: [8, 16]
model: CultriX/Qwestion-14B
parameters:
density: 1.0
weight: 0.34008726542768253
- layer_range: [8, 16]
model: CultriX/SeQwence-14Bv2
parameters:
density: 1.0
weight: -0.010187285487908426
- sources:
- layer_range: [16, 24]
model: CultriX/SeQwence-14Bv1
parameters:
density: 1.0
weight: 0.1562216100470764
- layer_range: [16, 24]
model: CultriX/Qwestion-14B
parameters:
density: 1.0
weight: 0.31090250951964327
- layer_range: [16, 24]
model: CultriX/SeQwence-14Bv2
parameters:
density: 0.8226944254037076
weight: 0.4055505847346826
- sources:
- layer_range: [24, 32]
model: CultriX/SeQwence-14Bv1
parameters:
density: 1.0
weight: 0.1478643123383346
- layer_range: [24, 32]
model: CultriX/Qwestion-14B
parameters:
density: 0.8233564236912981
weight: 0.34508971280776113
- layer_range: [24, 32]
model: CultriX/SeQwence-14Bv2
parameters:
density: 1.0
weight: 0.47963393901209633
- sources:
- layer_range: [32, 40]
model: CultriX/SeQwence-14Bv1
parameters:
density: 0.9078052860602195
weight: 0.5051482718423455
- layer_range: [32, 40]
model: CultriX/Qwestion-14B
parameters:
density: 1.0
weight: 0.21938011111527006
- layer_range: [32, 40]
model: CultriX/SeQwence-14Bv2
parameters:
density: 0.9287247232625168
weight: 0.12414619742696054
- sources:
- layer_range: [40, 48]
model: CultriX/SeQwence-14Bv1
parameters:
density: 1.0
weight: 0.1932759286778445
- layer_range: [40, 48]
model: CultriX/Qwestion-14B
parameters:
density: 0.9846832888894079
weight: 0.572903756192807
- layer_range: [40, 48]
model: CultriX/SeQwence-14Bv2
parameters:
density: 1.0
weight: 0.33759567132306584
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 34.41 |
| IFEval (0-Shot) | 57.19 |
| BBH (3-Shot) | 46.39 |
| MATH Lvl 5 (4-Shot) | 22.13 |
| GPQA (0-shot) | 15.32 |
| MuSR (0-shot) | 17.27 |
| MMLU-PRO (5-shot) | 48.17 |